Warning: fopen(/home/virtual/epih/journal/upload/ip_log/ip_log_2023-10.txt): failed to open stream: Permission denied in /home/virtual/lib/view_data.php on line 83 Warning: fwrite() expects parameter 1 to be resource, boolean given in /home/virtual/lib/view_data.php on line 84 Network meta-analysis: application and practice using Stata
Skip Navigation
Skip to contents

Epidemiol Health : Epidemiology and Health



Page Path
HOME > Epidemiol Health > Volume 39; 2017 > Article
Network meta-analysis: application and practice using Stata
Sungryul Shim1orcid, Byung-Ho Yoon2orcid, In-Soo Shin3orcid, Jong-Myon Bae4orcid
Epidemiol Health 2017;39:e2017047.
DOI: https://doi.org/10.4178/epih.e2017047
Published online: October 27, 2017
  • 1,280 Download
  • 234 Crossref
  • 240 Scopus

1Institute for Clinical Molecular Biology Research, Soonchunhyang University Hospital, Seoul, Korea

2Department of Orthopaedic Surgery, Seoul Paik Hospital, ,Inje University College of Medicine, Seoul, Korea

3Department of Education, Jeonju University, Jeonju, Korea

4Department of Preventive Medicine, Jeju National University School of Medicine, Jeju, Korea

Correspondence: Jong-Myon Bae  Department of Preventive Medicine, Jeju National University School of Medicine, 102 Jejudaehak-ro, Jeju 63243, Korea  E-mail: jmbae@cheju.ac.kr
• Received: September 6, 2017   • Accepted: October 27, 2017

©2017, Korean Society of Epidemiology

This is an open-access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

  • This review aimed to arrange the concepts of a network meta-analysis (NMA) and to demonstrate the analytical process of NMA using Stata software under frequentist framework. The NMA tries to synthesize evidences for a decision making by evaluating the comparative effectiveness of more than two alternative interventions for the same condition. Before conducting a NMA, 3 major assumptions—similarity, transitivity, and consistency—should be checked. The statistical analysis consists of 5 steps. The first step is to draw a network geometry to provide an overview of the network relationship. The second step checks the assumption of consistency. The third step is to make the network forest plot or interval plot in order to illustrate the summary size of comparative effectiveness among various interventions. The fourth step calculates cumulative rankings for identifying superiority among interventions. The last step evaluates publication bias or effect modifiers for a valid inference from results. The synthesized evidences through five steps would be very useful to evidence-based decision-making in healthcare. Thus, NMA should be activated in order to guarantee the quality of healthcare system.
As newly developed drugs conducted the third stage of randomized clinical trials (RCT) are approved for marketing, and enter into the armamentarium of treatment, there is a need for comparative effectiveness research (CER) to evaluate the effectiveness of drugs used for the same treatment goal and meta-analysis to synthesize the results of the CER [1]. Conventional meta-analysis on the treatment effects of new drugs is conducted on the effect size based on pairwise head-to-head direct comparison, but data from direct comparisons are relatively limited [2]. In contrast, the necessity for indirect comparisons among various drugs of the same efficacy used in clinical practice became greater [3,4]. Accordingly, an analytic approach called network meta-analysis (NMA) was developed to include in the meta-analysis not only direct comparisons, but also indirect comparisons based on logical inference; in the latter case, no comparisons are actually performed [3,5-10].
Statistical approaches to NMA are largely classified as frequentist and Bayesian frameworks [7]. Because part of NMA has indirect, multiple comparisons, Bayesian framework seems logically more valid, and 60-70% of NMA studies have taken a Bayesian approach [6,11-13]. However, if the prior probability is not established in the study hypothesis, Bayesian analysis poses many limitations for ordinary researchers using NMA because the problem of establishing prior probability is rather more complex than the problem of testing the research hypothesis, that is, the original purpose of the analysis [7]. In 1997, Bucher et al. [14] proposed an NMA approach based on the frequentist framework using random-effects models. Since then, many methodological developments have taken place [7,15], and articles introducing SAS (https://www.sas.com/en_us/home.html) and Stata (http://www.stata.com) program commands have been presented [12,15,16].
From 2008 onwards, the number of publications based on NMA increased at a rapid pace [2-4,15]. In 2011, the International Society for Pharmacoeconomics and Outcomes Research (ISPOR) defined the concepts related to NMA and established guidelines relating to methodological and statistical issues to help researchers conduct NMA in a valid manner [7,17]. Furthermore, ‘PRISMA (Preferred Reporting Items for Systematic Reviews and Meta-analyses) Network Meta-Analysis checklist’, as a guideline for reporting NMA research outcomes, was also developed [7,18].
As NMA has features of multivariate multi-level analysis fundamentally, clinical researchers, as well as epidemiologists and statisticians, should understand them sufficiently well to perform NMA [19]. Hence, in this article, the terms used in NMA are defined, relevant statistical concepts are summarized, and the NMA analytic process based on the frequentist framework is illustrated using Stata program and an actual example.
Definition of terms
Since Bucher et al. [14] proposed the concept of indirect treatment comparison (ITC) on treatment effect in 1997, such terms as ‘multiple treatment comparison’ meaning comparison of several treatments [20] and ‘mixed treatment comparison’ (MTC) meaning a combination of direct and indirect comparisons [6] have been introduced.
However, at present, NMA is primarily used to mean a research effort to synthesize the results obtained by comparing several studies which examined multiple treatments [3,5,7,16,21]. ISPOR [7] defines NMA as a comparison of the effectiveness of 2 or more treatments, and categorizes the comparison type as MTC if the network geometry shows a closed loop and ITC if it does not (Figure 1).
Relevant assumptions
Meta-analysis is a statistical methodology to synthesize the results of several studies, and overall effect size is valid only if various a priori assumptions are satisfied [22]. Furthermore, NMA requires more strict methodological, logical, and statistical assumptions [23,24], about similarity, transitivity, and consistency, respectively [5,12,17,19,25,26]. In NMA, whether each of these is satisfied must also be examined [8,10,19].


To compare among the clinical trial studies extracted for analysis, similarity in the methodology used in the studies must be assumed [5,27]. Similarity is qualitatively assessed on each of the selected articles from a methodological point of view, and is not a hypothesis to be tested statistically. To examine similarity, the population, intervention, comparison, and outcome (PICO) technique is used [26]. Specifically, similarity among the studies extracted for analysis is examined for the following 4 items: clinical characteristics of study subjects, treatment interventions, comparison treatments, and outcome measures. If the similarity assumption is not satisfied, not only are the other two assumptions negatively affected [9], but there is also a need to check for the heterogeneity error [10,23].


Transitivity covers the validity of the logical inference, while similarity relates to the methodological feasibility of comparing. To explain simplistically, if direct comparisons of 3 drugs—A, B, and C—treating the same illness found that A was more effective than B, and B was more effective than C, then A can be expected to be more effective than C, even though the two were never directly compared. Such transitivity should be satisfied for all cases in an NMA [4,5,28].
If the researcher compares the outcomes of direct and indirect comparisons according to logical inference, the satisfaction of the transitivity assumption can be examined objectively. Statistical assessment of the outcomes of direct and indirect comparisons is called consistency [4,5,10]. If inconsistency is observed, non-transitivity should be suspected [29]. If non-transitivity is suspected, the presence of effect modifiers influencing treatment effect should first be examined [9,27,30].


Consistency, an objective measure of transitivity, means that the comparative effect sizes obtained through direct and indirect comparisons are consistent. Hence, consistency is statistically examined transitivity [5,7,24,31], and some researchers call it coherence [8,21,32]. For this reason, the assumptions of transitivity and consistency can be regarded as similar [9,33,34]. However, the authors of this article differentiate transitivity from consistency to emphasize that the perspectives used are logical and statistical, respectively.
According to a summary of techniques to check the consistency assumption utilized in the existing NMA studies [2], the techniques are categorized as those evaluating the fitness of statistical models [34,35] and those assessing the logical structure of graphs [29]. The model [Y] presented in the Stata program simultaneously considers the level of heterogeneity [H] (which should be examined in any meta-analysis) and the level of inconsistency [C] (for conducting multiple comparisons within a network), as well as the size of the treatment effect [D] of interest [16]. The equation that considers within-study variance (E), Y= D+H+C+E, is called the inconsistency model. If the level of inconsistency is zero, that is, [C= 0], it is considered a consistency model.
Consistency is statistically evaluated based on the confidence interval of the difference in comparative effect size between direct and indirect comparisons [10,32], and inconsistency is observed in approximately 1/8 of NMA studies [23]. It is very important to identify the cause of inconsistency [1,10,23]. Ioannidis [36] proposed 4 kinds of causes of inconsistency—chance, bias in headto-head comparison, bias in indirect comparison, and genuine diversity—and Higgins et al. [35] classified the causes of inconsistency into loop inconsistency, which refers to a difference between direct and indirect comparisons, and design inconsistency, which refers to a difference due to different sets of treatments being compared.
Stata tests for inconsistency have 2 levels [12,16]. The first is a global approach to test for overall inconsistency, in which the level of inconsistency is computed according to the type of between-treatment comparison for all cases and then the values are used to test for global linearity via the Wald test. The second is a local approach, in which each treatment is individually examined (nodesplitting) and the outcomes of direct and indirect comparisons are statistically tested.
Researchers should pay attention to the consistency assumption and explore the presence of effect modifiers causing overall inconsistency in the global approach [12,37,38]. To examine them, sensitivity analysis is utilized [3,30], and if it is determined that an effect modifier is present, performing meta-regression is recommended to adjust the corresponding variable [3,5,38].
Network geometry
Network geometry is a diagram showing the interactions among the articles included in NMA [39]. The diagram provides important information in establishing analytic strategies and interpreting the results [5,8,39], and so it is strongly recommended to use network geometry in presenting the NMA analysis results [1,18]. One of NMA’s features is that network geometry may change with an addition of new research outcomes or new treatments in the comparison set [39].
Preparing for analysis: information extraction and network meta-analysis support program installation
The following research question was formulated to illustrate how to perform NMA: whether transfusion rate in total hip joint replacement is different depending on the method of tranexamic acid administration. During the literature search process, 25 articles were selected and the extraction results are listed in Appendix 1. Drug administration was classified into the following 5 treatments: placebo (A); IV_single use (B); IV_double use (C); topical use (D); and a combination of IV and topical use (E).
As shown in Appendix 1, a long form to code the sample size for each treatment group in a study is recommended because this format makes it easy to understand the commands and also makes it easy to edit data, if necessary.
To perform NMA using Stata, the network package should first be installed [16]. Then, the variables in the analysis should be specified by typing the command < network setup d n, studyvar (study) trtvar(trt) ref(A)> . In the command, < network setup> means that network package is used for analysis. The number of events (< d> ) and the total sample size (< n> ) are entered, in this order. After a comma, the relevant options are entered; < studyvar> refers to the variable for study title; < trtvar> is the variable for treatments; and < ref> is the variable for the reference treatment among the treatments. The command corresponding to the data organized in Appendix 1 is found in Figure 2.
According to Figure 2, the reference treatment is A (placebo). Of the 25 studies, Xie 2016 and Yamasaki 2004 included cells with d= 0, and Stata replaced them with a default value of 0.5. Consequently, 0.5 was assigned to both the intervention and control groups, which increased the sample size per treatment by 1. Also, for studies with no information on the reference treatment, A, as in North 2016 and Xie 2016, Stata generates a tiny amount of data in the reference arm as a default. This practice is called augmented method, and is advantageous because the overall effect size is not affected, errors in the equations can be reduced, and all extracted studies are utilized in the analysis.
Step 1: generating network geometry
The command to draw a network geometry to explore comparative relationships among treatments is < network map > , and Figure 1 shows the outcome of the current example. The size of the 5 nodes—one for each treatment—indicates the number of studies included in the corresponding nodes, while the thickness of the lines connecting 2 nodes indicates the amount of relevant data. Also, all 5 nodes were closed, which confirms that MTC analysis can be performed. To examine the contributions of individual treatments in a table form, the command < netweight> is used.
Step 2: testing for inconsistency
This step in NMA is to statistically test whether the consistency assumption among 3 NMA assumptions is satisfied. To check for overall inconsistency, the command < network meta inconsistency> is used for the inconsistency model provided in Stata, and Figure 3 shows the results of this case study. The p-value displayed at the bottom of Figure 3 is the result of testing for inconsistency at the overall level. Based on the p-value, the null hypothesis cannot be rejected and the consistency assumption could be accepted at the overall level of each treatment.
Next, the command < network sidesplit all> is used for the local test on loop inconsistency. Table 1 shows the results of the local inconsistency test in this case study, listing the size of differences for each treatment and the statistical test results. None of the treatments showed statistical significance. Because inconsistency was found to be absent in both global and local tests, the consistency assumption was accepted.
Step 3: creating plots and league table of effect size by treatment
To display effect sizes in a plot and a league table, the outcomes should first be stored in memory using the command < network meta consistency> . There are 2 ways in NMA to graphically represent effect size by study and by treatment: network forest plot (NFP) and interval plot. To generate NFP in Stata, the command < network forest, msize (*0.15) diamond eform xlabel (0.1 1 10 100) colors (black blue red) list> is typed. The main command to generate forest plots is < network forest> , and options are specified after a comma. Among the various options, < diamond> uses a diamond shape to show summary effect sizes and < eform> generates transformed indices to make it easy to interpret the forest plot. Other options are there to help in easily visualizing the graph: < msize (*0.15)> decreases the value of individual studies’ effect size by 0.15 times; < xlabel (0.1 1 10 100)> sets the unit on the x axis; and < colors (black blue red)> sets the colors of the effect of each study within a treatment in the comparison set, the pooled effect of a treatment in the comparison set (also called “pooled within design”), and the pooled overall effect (also called “pooled overall”) as black, blue, and red, respectively (Figure 4).
A wide range of information is obtained in an NFP. First, it provides information on the effect size of each study and each treatment. The pooled effect of each treatment in the comparison set (blue color) shows the results of the test for the inconsistency model, And the pooled overall effect (red color) shows the result of the test for the consistency model. Second, the p-value displayed in the lower left of the plot is congruent with the result of the global test on inconsistency, which confirms that the consistency is accepted. Third, heterogeneity among individual studies within a treatment can be visually inspected. Moreover, based on the similarity between the size of pooled effect of each treatment in the comparison set (blue color) and the size of pooled overall effect (red color), it can be determined whether the consistency model is supported.
Although useful information is provided by NFP, readability suffers if the number of articles included in the analysis or treatments in the comparison set is large. In such a case, it is advised to generate interval plots, by typing the command < intervalplot, eform null (1) labels (Placebo IV_single IV_double Topical Combination) separate margin (10 8 5 10) textsize (2) xlabel (0.01 0.1 1 10)> . The main command is < intervalplot> ; < eform> transforms the original logarithmic data into indices for easier interpretation; < null (1)> inputs 1, the value indicating statistically significant difference in a ratio like odds ratio; <label> defines how treatments should be labeled; < separate> and < margin> set the ranges to generate easy-to-read plots, the values of which should be appropriately determined by the user because they vary greatly depending on the number of articles as well as the number of treatments in the comparison set. Figure 5 shows the interval plot obtained by typing the commands discussed above. It is relatively intuitive to compare the effect sizes of individual treatments and very easy to interpret the results. A network league table, shown in Appendix 2, can be created based on the outcome comparing the effect sizes of treatments, which is produced in the Stata result window after the command < intervalplot> is typed.
Step 4: determining relative rankings of treatments
Once comparative effectiveness of the treatments has been evaluated through the previous steps, the next step is to rank order the treatments to identify superiority [12]. In other words, the treatment interventions showing the most superior treatment effect are evaluated.
Stata supports two commands—network rank and surface under the cumulative ranking (SCURA)—to rank order treatments. There is little difference in the outcome between the commands, but it is easier to use network rank, for which the command < network rank min, line cumulative xlabel (1/4) seed (10000) reps (10000) meanrank> is typed. The main command is < network rank> , and < min (or max)> specifies whether superiority should be determined by using ascending or descending order of effect size. In this case study < min> was used because a treatment is more effective as the effect size compared to the reference treatment (placebo, A) is smaller.
As shown in Figure 6, the probability of treatment E (combination) being the best is approximately 98.1%, and the probability for it to be at least the second best is 99.2%. In the SCURA, the surface area for treatment E reaches almost 100%, confirming again that it is the best intervention [40]. The SUCRA command is used for more precise estimation of cumulative ranking probabilities. Based on the SUCRA results, treatment E (combination) is followed by C (IV_double), D (topical), B (IV_single), and A (placebo). A clinical interpretation of the results is that the administration of tranexamic acid, in combination with IV and topical use is recommended to ensure maximum decrease in the probability of transfusion in total hip joint replacement.
Step 5: checking for publication bias
To check for publication bias in NMA, a network funnel plot is created. Because the Stata network package does not directly support the generation of network funnel plots, the data should first be transformed, as demonstrated in Appendix 2. To do so, data should be generated by typing the network forest command with the list option, and the comparative effect size (diff) and standard error (se) are summarized for each pair of treatments within individual articles that are directly compared with each other (t1, t2).
After the data shown in Appendix 3 are uploaded in a new Stata window, the command < netfunnel diff se t1 t2, random bycomparison > is typed to generate network funnel plots. Here, the main command is < netfunnel> ; < diff> is comparative effect size between treatments in logarithmic scale and < se> indicates se; < random> in the option list means the use of a random effect model, and < bycomparison> is to color code treatments. If the user wants to generate selective funnel plots with respect to placebo A, the command < netfunnel diff se t1 t2 if t1= = “A”, random bycomparison> is typed. Once the plots are generated, publication bias is visually inspected using the criterion of symmetry. It is advised to consider performing sensitivity analysis, if necessary.
So far, the application of NMA within frequentist framework has been demonstrated. Below, we list points for researchers to consider when performing NMA and suggestions for those points.
First, NMA is for direct and indirect comparisons in a set of treatments and it is limited to the results of RCT studies [5]. At the current advancement of the analytic technique, it is not recommended to apply NMA to the results of observational research like cohort study and case-control study. Also, the fact that researchers, funding agencies, the types of drugs approved for marketing in different countries, and the research ethics committees are operated, etc., could affect the RCT research issues and outcomes, should be factored in [41].
Second, the 3 assumptions to be satisfied in NMA should be examined meticulously [25,42]. Of the assumptions, practical decisions from a clinician point of view should be made on the similarity and transitivity assumptions [42]. If inconsistency is concluded via statistical testing, effect modifiers should be identified by utilizing network geometry to thoroughly investigate the relationships among the selected articles [37]. Then, NMA meta-regression should be performed and the results before and after the adjustment with the effect modifiers should be evaluated in order to derive clinically valid conclusions [5,31].
Third, the presence of bias due to small-scale studies should be considered [8]. Studies with a small number of subjects can not only cause publication bias [43], but also generate a relatively large treatment effect [44]. Therefore, it is recommended to evaluate publication bias by using a random effect model [7] and performing sensitivity analysis [3,30].
Fourth, the application of Bayesian framework may be considered, as limitations exist in NMA based on frequentist framework [6,7]. If the ultimate goal of an NMA study is to make a medical decision and predict the outcome under uncertainty, Bayesian framework is more appropriate [11-13]. At present, several statistical programs supporting Bayesian analysis are available, including WinBUGS (https://www.mrc-bsu.cam.ac.uk/software/bugs/) [12].
Evidence synthesized through a systematic review based on meta-analysis is the most powerful with respect to scientific persuasion [45]. Moreover, the outcomes of NMA—an analysis that synthesizes comparative effectiveness through direct and indirect comparisons among treatment interventions with the same treatment goal and rank orders them—have great significance in evidence-based decision making in health care [3,5,46]. Thus, the use of NMA should be facilitated to enhance the quality of health care in Korea, and it is expected that this article will motivate Korean researchers to facilitate the application and practice of NMA.
This article is an outcome of the research activities of the Korean Meta-Analysis Study (President: In-Soo Shin).

The authors have no conflicts of interest to declare for this study.

Supplementary material (Korean version) is available at http://www.e-epih.org/.
Figure 1.
Network geometry. When the obejctive is to examine comparative effectiveness of B-C among the treatments A, B, and C, a closed loop is present if research data comparing all 3 pairs (A-B, B-C, and A-C) exist.
Figure 2.
Results of network setup order.
Figure 3.
Results of test for inconsistency.
Figure 4.
Network forest plot. A, placebo; B, IV_ single; C, IV_double; D, topical; E, combination.
Figure 5.
Interval plot. CI, confidence interval.
Figure 6.
Results of network rank test. A, placebo; B, IV_single; C, IV_double; D, topical; E, combination; SCURA, surface under the cumulative ranking.
Table 1.
Inconsistency test between direct and indirect treatment comparisons in mixed treatment comparison
Side Direct
Coefficient SE Coefficient SE Coefficient SE
A B -1.083 0.174 -0.877 0.620 -0.206 0.636 0.746
A C -1.388 0.247 -1.869 0.493 0.481 0.542 0.375
A D -1.378 0.265 -0.738 0.413 -0.640 0.479 0.182
A E -3.425 0.940 -3.221 1.005 -0.204 0.937 0.828
B C -0.894 0.655 -0.312 0.297 -0.581 0.715 0.416
B D 0.099 0.462 -0.241 0.329 0.340 0.567 0.548
B E -2.152 0.881 -2.615 1.087 0.463 0.896 0.605
C D 0.490 0.492 0.177 0.350 0.313 0.604 0.605
D E -2.550 1.254 -1.956 0.958 -0.595 1.314 0.651

SE, standard error; A, placebo; B, IV_single; C, IV_double; D, topical; E, combination.

  • 1. Mills EJ, Ioannidis JP, Thorlund K, Schünemann HJ, Puhan MA, Guyatt GH. How to use an article reporting a multiple treatment comparison meta-analysis. JAMA 2012;308:1246-1253.ArticlePubMed
  • 2. Donegan S, Williamson P, D’Alessandro U, Tudur Smith C. Assessing key assumptions of network meta-analysis: a review of methods. Res Synth Methods 2013;4:291-323.ArticlePubMed
  • 3. Biondi-Zoccai G, Abbate A, Benedetto U, Palmerini T, D’Ascenzo F, Frati G. Network meta-analysis for evidence synthesis: what is it and why is it posed to dominate cardiovascular decision making? Int J Cardiol 2015;182:309-314.ArticlePubMed
  • 4. Caldwell DM. An overview of conducting systematic reviews with network meta-analysis. Syst Rev 2014;3:109.ArticlePubMedPMCPDF
  • 5. Cipriani A, Higgins JP, Geddes JR, Salanti G. Conceptual and technical challenges in network meta-analysis. Ann Intern Med 2013;159:130-137.ArticlePubMed
  • 6. Lu G, Ades AE. Combination of direct and indirect evidence in mixed treatment comparisons. Stat Med 2004;23:3105-3124.ArticlePubMed
  • 7. Jansen JP, Fleurence R, Devine B, Itzler R, Barrett A, Hawkins N, et al. Interpreting indirect treatment comparisons and network meta-analysis for health-care decision making: report of the ISPOR Task Force on Indirect Treatment Comparisons Good Research Practices: part 1. Value Health 2011;14:417-428.ArticlePubMed
  • 8. Mills EJ, Thorlund K, Ioannidis JP. Demystifying trial networks and network meta-analysis. BMJ 2013;346:f2914.ArticlePubMed
  • 9. Jansen JP, Naci H. Is network meta-analysis as valid as standard pairwise meta-analysis? It all depends on the distribution of effect modifiers. BMC Med 2013;11:159.ArticlePubMedPMCPDF
  • 10. Salanti G. Indirect and mixed-treatment comparison, network, or multiple-treatments meta-analysis: many names, many benefits, many concerns for the next generation evidence synthesis tool. Res Synth Methods 2012;3:80-97.ArticlePubMed
  • 11. Dakin HA, Welton NJ, Ades AE, Collins S, Orme M, Kelly S. Mixed treatment comparison of repeated measurements of a continuous endpoint: an example using topical treatments for primary openangle glaucoma and ocular hypertension. Stat Med 2011;30:2511-2535.ArticlePubMed
  • 12. Tonin FS, Rotta I, Mendes AM, Pontarolo R. Network meta-analysis: a technique to gather evidence from direct and indirect comparisons. Pharm Pract (Granada) 2017;15:943.ArticlePubMedPMC
  • 13. Schmitz S, Adams R, Walsh CD, Barry M, FitzGerald O. A mixed treatment comparison of the efficacy of anti-TNF agents in rheumatoid arthritis for methotrexate non-responders demonstrates differences between treatments: a Bayesian approach. Ann Rheum Dis 2012;71:225-230.ArticlePubMed
  • 14. Bucher HC, Guyatt GH, Griffith LE, Walter SD. The results of direct and indirect treatment comparisons in meta-analysis of randomized controlled trials. J Clin Epidemiol 1997;50:683-691.ArticlePubMed
  • 15. Jones B, Roger J, Lane PW, Lawton A, Fletcher C, Cappelleri JC, et al. Statistical approaches for conducting network meta-analysis in drug development. Pharm Stat 2011;10:523-531.ArticlePubMed
  • 16. White IR. Network meta-analysis. Stata J 2015;15:951-985.Article
  • 17. Hoaglin DC, Hawkins N, Jansen JP, Scott DA, Itzler R, Cappelleri JC, et al. Conducting indirect-treatment-comparison and networkmeta-analysis studies: report of the ISPOR Task Force on Indirect Treatment Comparisons Good Research Practices: part 2. Value Health 2011;14:429-437.ArticlePubMed
  • 18. Hutton B, Salanti G, Caldwell DM, Chaimani A, Schmid CH, Cameron C, et al. The PRISMA extension statement for reporting of systematic reviews incorporating network meta-analyses of health care interventions: checklist and explanations. Ann Intern Med 2015;162:777-784.ArticlePubMed
  • 19. Li T, Puhan MA, Vedula SS, Singh S, Dickersin K; Ad Hoc Network Meta-analysis Methods Meeting Working Group. Network meta-analysis-highly attractive but more methodological research is needed. BMC Med 2011;9:79.ArticlePubMedPMCPDF
  • 20. Hasselblad V. Meta-analysis of multitreatment studies. Med Decis Making 1998;18:37-43.ArticlePubMed
  • 21. Lumley T. Network meta-analysis for indirect treatment comparisons. Stat Med 2002;21:2313-2324.ArticlePubMed
  • 22. Shim SR, Shin IS, Bae JM. Intervention meta-analysis using STATA software. J Health Info Stat 2016;41:123-134 (Korean).ArticlePDF
  • 23. Veroniki AA, Vasiliadis HS, Higgins JP, Salanti G. Evaluation of inconsistency in networks of interventions. Int J Epidemiol 2013;42:332-345.ArticlePubMedPMCPDF
  • 24. Bhatnagar N, Lakshmi PV, Jeyashree K. Multiple treatment and indirect treatment comparisons: An overview of network metaanalysis. Perspect Clin Res 2014;5:154-158.ArticlePubMedPMC
  • 25. Mills EJ, Bansback N, Ghement I, Thorlund K, Kelly S, Puhan MA, et al. Multiple treatment comparison meta-analyses: a step forward into complexity. Clin Epidemiol 2011;3:193-202.ArticlePubMedPMC
  • 26. Reken S, Sturtz S, Kiefer C, Böhler YB, Wieseler B. Assumptions of mixed treatment comparisons in health technology assessments: challenges and possible steps for practical application. PLoS One 2016;11:e0160712.ArticlePubMedPMC
  • 27. Salanti G, Marinho V, Higgins JP. A case study of multiple-treatments meta-analysis demonstrates that covariates should be considered. J Clin Epidemiol 2009;62:857-864.ArticlePubMed
  • 28. Baker SG, Kramer BS. The transitive fallacy for randomized trials: if A bests B and B bests C in separate trials, is A better than C? BMC Med Res Methodol 2002;2:13.ArticlePubMedPMCPDF
  • 29. Krahn U, Binder H, König J. A graphical tool for locating inconsistency in network meta-analyses. BMC Med Res Methodol 2013;13:35.ArticlePubMedPMCPDF
  • 30. Dias S, Welton NJ, Sutton AJ, Caldwell DM, Lu G, Ades AE. Evidence synthesis for decision making 4: inconsistency in networks of evidence based on randomized controlled trials. Med Decis Making 2013;33:641-656.ArticlePubMedPMC
  • 31. Lu G, Ades AE. Assessing evidence inconsistency in mixed treatment comparisons. J Am Stat Assoc 2006;101:447-459.Article
  • 32. Cipriani A, Furukawa TA, Salanti G, Geddes JR, Higgins JP, Churchill R, et al. Comparative efficacy and acceptability of 12 newgeneration antidepressants: a multiple-treatments meta-analysis. Lancet 2009;373:746-758.ArticlePubMed
  • 33. Chaimani A, Salanti G, Leucht S, Geddes JR, Cipriani A. Common pitfalls and mistakes in the set-up, analysis and interpretation of results in network meta-analysis: what clinicians should look for in a published article. Evid Based Ment Health 2017;20:88-94.ArticlePubMed
  • 34. Dias S, Welton NJ, Caldwell DM, Ades AE. Checking consistency in mixed treatment comparison meta-analysis. Stat Med 2010;29:932-944.ArticlePubMed
  • 35. Higgins JP, Jackson D, Barrett JK, Lu G, Ades AE, White IR. Consistency and inconsistency in network meta-analysis: concepts and models for multi-arm studies. Res Synth Methods 2012;3:98-110.ArticlePubMedPMC
  • 36. Ioannidis JP. Integration of evidence from multiple meta-analyses: a primer on umbrella reviews, treatment networks and multiple treatments meta-analyses. CMAJ 2009;181:488-493.ArticlePubMedPMC
  • 37. Saramago P, Sutton AJ, Cooper NJ, Manca A. Mixed treatment comparisons using aggregate and individual participant level data. Stat Med 2012;31:3516-3536.ArticlePubMed
  • 38. White IR, Barrett JK, Jackson D, Higgins JP. Consistency and inconsistency in network meta-analysis: model estimation using multivariate meta-regression. Res Synth Methods 2012;3:111-125.ArticlePubMedPMC
  • 39. Salanti G, Kavvoura FK, Ioannidis JP. Exploring the geometry of treatment networks. Ann Intern Med 2008;148:544-553.ArticlePubMed
  • 40. Salanti G, Ades AE, Ioannidis JP. Graphical methods and numerical summaries for presenting results from multiple-treatment meta-analysis: an overview and tutorial. J Clin Epidemiol 2011;64:163-171.ArticlePubMed
  • 41. Ioannidis JP. Indirect comparisons: the mesh and mess of clinical trials. Lancet 2006;368:1470-1472.ArticlePubMed
  • 42. Kyrgiou M, Salanti G, Pavlidis N, Paraskevaidis E, Ioannidis JP. Survival benefits with diverse chemotherapy regimens for ovarian cancer: meta-analysis of multiple treatments. J Natl Cancer Inst 2006;98:1655-1663.ArticlePubMedPDF
  • 43. Ioannidis JP, Cappelleri JC, Lau J. Issues in comparisons between meta-analyses and large trials. JAMA 1998;279:1089-1093.ArticlePubMed
  • 44. Pereira TV, Horwitz RI, Ioannidis JP. Empirical evaluation of very large treatment effects of medical interventions. JAMA 2012;308:1676-1684.ArticlePubMed
  • 45. Bae JM. Meta-epidemiology. Epidemiol Health 2014;36:e2014019.ArticlePubMedPMC
  • 46. Bae JM. Suggestions for the promotion of evidence-based public health in South Korea. Epidemiol Health 2017;39:e2017030.ArticlePubMedPMCPDF
Appendix 1.
The extracted information from the selected articles for conducting a network meta-analysis using Stata
Appendix 2.
A network league table based on the network meta-analysis from data in Appendix 1
Appendix 3.
The raw data for drawing a network funnel plot from data in Appendix 1

Figure & Data



    Citations to this article as recorded by  
    • Effectiveness of multiple combined lifestyle interventions in reducing blood pressure among patients with prehypertension and hypertension: a network meta-analysis
      Yuvaraj Krishnamoorthy, Ramya Nagarajan, Sharan Murali
      Journal of Public Health.2023; 45(2): e319.     CrossRef
    • Effects of non‐pharmacologic prevention on delirium in critically ill patients: A network meta‐analysis
      Yutaka Matsuura, Yuko Ohno, Miki Toyoshima, Takayoshi Ueno
      Nursing in Critical Care.2023; 28(5): 727.     CrossRef
    • Efficacy of Imaging Methods in the Detection and Diagnosis of Cerebrospinal Fluid Rhinorrhea
      Se Hwan Hwang, Sun Won Kim, Do Hyun Kim
      The Laryngoscope.2023; 133(6): 1281.     CrossRef
    • Congenital anomaly and perinatal outcome following blastocyst‐ vs cleavage‐stage embryo transfer: systematic review and network meta‐analysis
      C. Siristatidis, M. Papapanou, V. Karageorgiou, W. P. Martins, I. Bellos, D. M. Teixeira, N. Vlahos
      Ultrasound in Obstetrics & Gynecology.2023; 61(1): 12.     CrossRef
    • Association of body mass index trajectory and hypertension risk: A systematic review of cohort studies and network meta-analysis of 89,094 participants
      Ling Tan, Lin-zi Long, Xiao-chang Ma, Wen-wen Yang, Fei-fei Liao, Yu-xuan Peng, Jie-ming Lu, A-ling Shen, Dong-qing An, Hua Qu, Chang-geng Fu
      Frontiers in Cardiovascular Medicine.2023;[Epub]     CrossRef
    • Residual Disease Threshold After Primary Surgical Treatment for Advanced Epithelial Ovarian Cancer, Part 1: A Systematic Review and Network Meta-Analysis
      Andrew Bryant, Eugenie Johnson, Michael Grayling, Shaun Hiu, Ahmed Elattar, Ketankumar Gajjar, Dawn Craig, Luke Vale, Raj Naik
      American Journal of Therapeutics.2023; 30(1): e36.     CrossRef
    • Executive protocol designed for new review study called: systematic review and artificial intelligence network meta-analysis (RAIN) with the first application for COVID-19
      Nader Salari, Shamarina Shohaimi, Aliakbar Kiaei, Amin Hosseinian-Far, Kamran Mansouri, Arash Ahmadi, Masoud Mohammadi
      Biology Methods and Protocols.2023;[Epub]     CrossRef
    • Comparative clinical-related outcomes of Chinese patent medicines for cardiac hypertrophy: A systematic review and network meta-analysis of randomized clinical trials
      Tianqi Zhang, Haoyang Xu, Dong Zhen, Danni Fu, Ming Zhao, Chengxi Wei, Xue Bai
      Frontiers in Pharmacology.2023;[Epub]     CrossRef
    • Network meta-analysis of glucose-lowering drug treatment regimens with the potential risk of hypoglycemia in patients with type 2 diabetes mellitus in terms of glycemic control and severe hypoglycemia
      Satoru Kodama, Kazuya Fujihara, Hajime Ishiguro, Yasuhiro Matsubayashi, Masaru Kitazawa, Midori Iwanaga, Takaho Yamada, Kiminori Kato, Yoshimi Nakagawa, Shiro Tanaka, Hitoshi Shimano, Hirohito Sone
      Journal of Investigative Medicine.2023; 71(4): 400.     CrossRef
    • The efficacy and safety of peri-tonsillar administrated agents on pain treatment after pediatric tonsillectomy: A network meta-analysis
      Do Hyun Kim, Sung Won Kim, Mohammed Abdullah Basurrah, Se Hwan Hwang
      International Journal of Pediatric Otorhinolaryngology.2023; 165: 111455.     CrossRef
    • Graphical evaluation of evidence structure within a component network meta‐analysis
      Hua Li, Ming‐Chieh Shih, Yu‐Kang Tu
      Research Synthesis Methods.2023; 14(4): 596.     CrossRef
    • Optimal Hemostatic Band Duration After Transradial Angiography or Intervention: Insights From a Mixed Treatment Comparison Meta-Analysis of Randomized Trials
      Muhammad Haisum Maqsood, Samir Pancholy, Kristin A. Tuozzo, Nicole Moskowitz, Sunil V. Rao, Sripal Bangalore
      Circulation: Cardiovascular Interventions.2023;[Epub]     CrossRef
    • Effects of different exercise modalities on inhibiting left ventricular pathological remodeling in patients with heart failure with reduced ejection fraction: A systematic review and network meta-analysis
      Tao Wang, Lin Zhang, Mengxin Cai, Zhenjun Tian
      Life Sciences.2023; 319: 121511.     CrossRef
    • Exercise sustains motor function in Parkinson's disease: Evidence from 109 randomized controlled trials on over 4,600 patients
      Meiqi Zhang, Fang Li, Dongyu Wang, Xiaohong Ba, Zhan Liu
      Frontiers in Aging Neuroscience.2023;[Epub]     CrossRef
    • Similar Effect of Exercise Therapy, Nonsteroidal Anti-inflammatory Drugs, and Opioids for Knee Osteoarthritis Pain: A Systematic Review with Network Meta-analysis
      Jonas Bloch Thorlund, Milena Simic, Kenneth Pihl, Dorthe Bang Berthelsen, Richard Day, Bart Koes, Carsten Bogh Juhl
      Journal of Orthopaedic & Sports Physical Therapy.2023; : 1.     CrossRef
    • Efficacy of Phrenic Nerve Block and Suprascapular Nerve Block in Amelioration of Ipsilateral Shoulder Pain after Thoracic Surgery: A Systematic Review and Network Meta-Analysis
      Tanyong Pipanmekaporn, Prangmalee Leurcharusmee, Yodying Punjasawadwong, Jiraporn Khorana, Artid Samerchua, Wariya Sukhupragarn, Isaraporn Sukuam, Nutchanart Bunchungmongkol, Surasak Saokaew
      Medicina.2023; 59(2): 275.     CrossRef
    • Efficacy and Safety of Minimally Invasive Thyroid Surgery: A Network Meta‐Analysis
      Do Hyun Kim, Sung Won Kim, Geun‐Jeon Kim, Mohammed A. Basurrah, Se Hwan Hwang
      The Laryngoscope.2023;[Epub]     CrossRef
    • Efficacy and safety of TCMs with anti-inflammatory effect in patients with rheumatoid arthritis: A network meta-analysis
      Jinying Fang, Mingxuan Liu, Zhenghui Huang, Yucao Ma, Yiwen Wang, Xiaojia Zheng, Liu Lv, Chunpin Liu, Wei Li, Zhenghong Zhu, Huachao Zhu, Jie Hu, Yonghong Wang, Hailong Wang
      Frontiers in Immunology.2023;[Epub]     CrossRef
    • Heart rate variability in generalized anxiety disorder, major depressive disorder and panic disorder: A network meta-analysis and systematic review
      Zuxing Wang, Yuanyuan Luo, Yuan Zhang, Lili Chen, Yazhu Zou, Jun Xiao, Wenjiao Min, Cui Yuan, Yu Ye, Mingmei Li, Mengtian Tu, Jiangli Hu, Zhili Zou
      Journal of Affective Disorders.2023; 330: 259.     CrossRef
    • Surgical completeness and safety of minimally invasive thyroidectomy in patients with thyroid cancer: A network meta-analysis
      Yun Jin Kang, Gulnaz Stybayeva, Se Hwan Hwang
      Surgery.2023; 173(6): 1381.     CrossRef
    • Chemoprevention of colorectal cancer in general population and high-risk population: a systematic review and network meta-analysis
      Ye Ma, Wen You, Yang Cao, Xuxia He, Jing Wang, Yuelun Zhang, Ji Li, Jingnan Li
      Chinese Medical Journal.2023; 136(7): 788.     CrossRef
    • Efficacy of electrophysical agents in fibromyalgia: A systematic review and network meta-analysis
      John Marwa Gikaro, Francis Manyori Bigambo, Victor Mark Minde, Elia Asanterabi Swai
      Clinical Rehabilitation.2023; 37(10): 1295.     CrossRef
    • Evaluation of dressings preventing facial medical device‐related pressure injury in medical staff during the COVID‐19 pandemic: A systematic review and network meta‐analysis
      Fangfang Zhu, Honghong Su, Yue Kong, Baoling Xu, Qian Lv, Jiamin Lin, Luanxing Yi, Jieling Xie
      Journal of Clinical Nursing.2023; 32(17-18): 5988.     CrossRef
    • Efficacy of surgical methods for peri-implantitis: a systematic review and network meta-analysis
      Jing Cheng, Liang Chen, Xian Tao, Xiang Qiang, Ruiying Li, Jia Ma, Dong Shi, Zijin Qiu
      BMC Oral Health.2023;[Epub]     CrossRef
    • Efficacy and safety of surgical treatment for 1–2 cm sized lower pole of renal stone: network meta-analysis of randomized control trials
      Atalel Fentahun Awedew, Yakob Sheiferawe Seman, Dawit Zerihun Yalew, Yohannes Chemere Wondmeneh, Wassie Almaw Yigzaw
      Urolithiasis.2023;[Epub]     CrossRef
    • Comparative effectiveness of glycyrrhizic acid preparations aimed at improving liver function of patients with chronic hepatitis B: A network meta-analysis of 53 randomized controlled trials
      Wen Gao, Yichang Zhao, Lin Guo, Yikun Wang, Hui Gong, Bikui Zhang, Miao Yan
      Phytomedicine.2023; 116: 154883.     CrossRef
    • A guide to appropriately planning and conducting meta-analyses: part 3. Special considerations—the network meta-analysis
      Kyle N. Kunze, Jeffrey Kay, Ayoosh Pareek, Jari Dahmen, Jorge Chahla, Shane J. Nho, Riley J. Williams, Darren de Sa, Jon Karlsson
      Knee Surgery, Sports Traumatology, Arthroscopy.2023; 31(7): 2544.     CrossRef
    • The effectiveness and safety of oral medications, onabotulinumtoxinA (three doses) and transcutaneous tibial nerve stimulation as non or minimally invasive treatment for the management of neurogenic detrusor overactivity in adults: a systematic review and
      Yuanzhuo Chen, Liao Peng, Chi Zhang, Jiawei Chen, Jiahui Chen, Hong Shen, Deyi Luo
      International Journal of Surgery.2023; 109(5): 1430.     CrossRef
    • A network meta-analysis assessing the effectiveness of various radical and conservative surgical approaches regarding recurrence in treating solid/multicystic ameloblastomas
      Faqi Nurdiansyah Hendra, Marco N. Helder, Muhammad Ruslin, Ellen M. Van Cann, Tymour Forouzanfar
      Scientific Reports.2023;[Epub]     CrossRef
    • Comparative effects of off-pump and multiple cardiopulmonary bypass strategies in coronary artery bypass grafting surgery: protocol for a systematic review and network meta-analysis
      Jia Tan, Sizhe Gao, Yongnan Li, Xuehan Li, Lei Du, Bingyang Ji
      BMJ Open.2023; 13(6): e072545.     CrossRef
    • Effect of Different Types and Dosages of Proprotein Convertase Subtilisin/Kexin Type 9 Inhibitors on Lipoprotein(a) Levels: A Network Meta-analysis
      Zongliang Yu, Lanqing Hu, Changxin Sun, Zeping Wang, Xiaonan Zhang, Min Wu, Longtao Liu
      Journal of Cardiovascular Pharmacology.2023; 81(6): 445.     CrossRef
    • Effects of new hypoglycemic drugs on cardiac remodeling: a systematic review and network meta-analysis
      Yi-lin Huang, Xiao-zhuo Xu, Jing Liu, Pin-yao Wang, Xue-li Wang, Hong-lin Feng, Cheng-jiang Liu, Xu Han
      BMC Cardiovascular Disorders.2023;[Epub]     CrossRef
    • Comparison of the short‐ and long‐term prognosis of early‐onset colorectal cancer compared with later‐onset colorectal cancer: A systematic review and meta‐analysis
      Taojun Jin, Xinxing Li, Jianmei Ji, Jue Li, Xiaomao Yin, Kai Xu, Wenqiang Wang, Wei Zhang, Xiaowen Xu, Zhiqian Hu, Biao Gong
      Health Science Reports.2023;[Epub]     CrossRef
    • Non-invasive Brain Stimulation Techniques for the Improvement of Upper Limb Motor Function and Performance in Activities of Daily Living After Stroke: A Systematic Review and Network Meta-analysis
      Ishtiaq Ahmed, Rustem Mustafoglu, Simone Rossi, Fatih A. Cavdar, Seth Kwame Agyenkwa, Marco Y.C. Pang, Sofia Straudi
      Archives of Physical Medicine and Rehabilitation.2023;[Epub]     CrossRef
    • Efficacy of different types of dressings on pressure injuries: Systematic review and network meta‐analysis
      Chunjin Zhang, Shu Zhang, Bo Wu, Kang Zou, Hong Chen
      Nursing Open.2023; 10(9): 5857.     CrossRef
    • Influence of SGLT2i and RAASi and Their Combination on Risk of Hyperkalemia in DKD
      Xiaoling Luo, Jing Xu, Shoulian Zhou, Cheng Xue, Zewei Chen, Zhiguo Mao
      Clinical Journal of the American Society of Nephrology.2023;[Epub]     CrossRef
    • Effects of digital psychotherapy for depression and anxiety: A systematic review and bayesian network meta-analysis
      Min Wang, Haoran Chen, Fengchun Yang, Xiaowei Xu, Jiao Li
      Journal of Affective Disorders.2023; 338: 569.     CrossRef
    • Efficacy of mind‐body therapies for sleep disturbance in patients with early‐stage cancer: A systematic review and network meta‐analysis
      Jing Han, Ming Shi, Liu‐Na Bi, Lin‐lin Wang, Yan‐xiu Cai
      Psycho-Oncology.2023; 32(9): 1315.     CrossRef
    • Comparison of various exercise interventions on cognitive function in Alzheimer's patients: A network meta-analysis
      Shi Lv, Qian Wang, Wenxin Liu, Xinlei Zhang, Mengmeng Cui, Xiubin Li, Yuzhen Xu
      Archives of Gerontology and Geriatrics.2023; 115: 105113.     CrossRef
    • GLP-1RAs caused gastrointestinal adverse reactions of drug withdrawal: a system review and network meta-analysis
      Ziqi Zhang, Qiling Zhang, Ying Tan, Yu Chen, Xiqiao Zhou, Su Liu, Jiangyi Yu
      Frontiers in Endocrinology.2023;[Epub]     CrossRef
    • Acupuncture Methods for Piriformis Syndrome: A Protocol for Systematic Review and Network Meta-Analysis
      Yujun He, Furui Miao, Yushan Fan, Fangzhi Zhang, Pu Yang, Xinyi Zhao, Miaodong Wang, Cai He, Jiujie He
      Journal of Pain Research.2023; Volume 16: 2357.     CrossRef
    • Immune-related adverse events associated with nab-paclitaxel/paclitaxel combined with immune checkpoint inhibitors: a systematic review and network meta-analysis
      Wenjing Hao, Jun Zhang, Yunxia Wang, Boyu Fang, Shasha Jin, Jing Yuan, Weimin Cai
      Frontiers in Immunology.2023;[Epub]     CrossRef
    • Prevalence of Post-Traumatic Stress Disorder in General Population During COVID-19 Pandemic: An Umbrella Review and Meta-Analysis
      Trang Nguyen Thi Huyen, Ngoan Duong Thi, Giang Le Minh, Van Thi Hai Hoang
      OBM Neurobiology.2023; 07(03): 1.     CrossRef
    • Efficacy and safety of novel biologics in the treatment of lupus nephritis based on registered clinical trials: a systematic review and network meta-analysis
      Feigao Li, Wenyan Cui, Guangliang Huang, Yunfei Tian, Xinhui Zhang, Wenjuan He, Qian Sun, Xiaojuan Zhao, Yonghong Zhao, Dan Li, Xizhe Liu, Xiuju Liu
      Clinical and Experimental Medicine.2023;[Epub]     CrossRef
    • Efficacy and safety of antidepressants for smoking cessation: A systematic review and network meta‐analysis
      Xinxin Deng, Xue Shang, Kangle Guo, Liying Zhou, Yongsheng Wang, Yanan Wu, Shanshan Liang, Fenfen E, Wendi Liu, Ziyi Wang, Xiuxia Li, Kehu Yang
      Addiction Biology.2023;[Epub]     CrossRef
    • The effects of active workstations on reducing work-specific sedentary time in office workers: a network meta-analysis of 23 randomized controlled trials
      Liying Zhou, Xinxin Deng, Meng Xu, Yanan Wu, Xue Shang, Fenfen E, Yongsheng Wang, Shanshan Liang, Kehu Yang, Xiuxia Li
      International Journal of Behavioral Nutrition and Physical Activity.2023;[Epub]     CrossRef
    • Medical Application of Big Data: Between Systematic Review and Randomized Controlled Trials
      Sung Ryul Shim, Joon-Ho Lee, Jae Heon Kim
      Applied Sciences.2023; 13(16): 9260.     CrossRef
    • Comparative safety of anaplastic lymphoma kinase tyrosine kinase inhibitors in advanced anaplastic lymphoma kinase-mutated non-small cell lung cancer: Systematic review and network meta-analysis
      Yuyao Luo, Zhe Zhang, XuanZhu Guo, Xuemei Tang, Sijie Li, Guotao Gong, Shun Gao, Yan Zhang, Sheng Lin
      Lung Cancer.2023; 184: 107319.     CrossRef
    • Risk of herpes zoster associated with JAK inhibitors in immune-mediated inflammatory diseases: a systematic review and network meta-analysis
      Qingling Xu, Liyuan He, Yufeng Yin
      Frontiers in Pharmacology.2023;[Epub]     CrossRef
    • Non-pharmacological Interventions for Tobacco Cessation in India: A Systematic Review and Network Meta-analysis
      Yuvaraj Krishnamoorthy, Venmathi Elangovan, Sathish Rajaa
      Nicotine and Tobacco Research.2023; 25(11): 1701.     CrossRef
    • Efficacy of Robot-Assisted and Virtual Reality Interventions on Balance, Gait, and Daily Function in Patients With Stroke: A Systematic Review and Network Meta-analysis
      Bohan Zhang, Ka Po Wong, Ruifu Kang, Shuojin Fu, Jing Qin, Qian Xiao
      Archives of Physical Medicine and Rehabilitation.2023;[Epub]     CrossRef
    • Efficacy of non-invasive diagnostic methods in the diagnosis and screening of oral cancer and precancer
      Do Hyun Kim, Sun Won Kim, Se Hwan Hwang
      Brazilian Journal of Otorhinolaryngology.2022; 88(6): 937.     CrossRef
    • Comparative efficacy of various exercise interventions on cognitive function in patients with mild cognitive impairment or dementia: A systematic review and network meta-analysis
      Xiuxiu Huang, Xiaoyan Zhao, Bei Li, Ying Cai, Shifang Zhang, Qiaoqin Wan, Fang Yu
      Journal of Sport and Health Science.2022; 11(2): 212.     CrossRef
    • A network meta‐analysis of the effectiveness and safety of drugs for restless legs syndrome in dialysis patients
      Meng Tang, Jie Ge, Ke‐Xin Sun, Bin Cui, Yue Guan, Jing‐Wen Wang
      Seminars in Dialysis.2022; 35(4): 293.     CrossRef
    • Strategies for Antibiotic Administration for Bowel Preparation Among Patients Undergoing Elective Colorectal Surgery
      John C. Woodfield, Kari Clifford, Barry Schmidt, Gregory A. Turner, Mohammad A. Amer, John L. McCall
      JAMA Surgery.2022; 157(1): 34.     CrossRef
    • Investigating the efficiency and tolerability of traditional Chinese formulas combined with antiarrhythmic agents for paroxysmal atrial fibrillation: A systematic review and Bayesian network meta-analysis
      Xiumin Jiang, Yongxin Luo, Xiaotong Wang, Yiming Chen, Taiyi Wang, Jun He, Yucen Xia, Jiaying Zhao, Xiaoshu Chai, Lin Yao, Cunzhi Liu, Yongjun Chen
      Phytomedicine.2022; 94: 153832.     CrossRef
    • Topical fluoride to prevent early childhood caries: Systematic review with network meta-analysis
      Sheetal Manchanda, Divesh Sardana, Pei Liu, Gillian HM Lee, Kar Yan Li, Edward CM Lo, Cynthia KY Yiu
      Journal of Dentistry.2022; 116: 103885.     CrossRef
    • Relative contributions of the nervous system, spinal tissue and psychosocial health to non‐specific low back pain: Multivariate meta‐analysis
      Scott D. Tagliaferri, Sin‐Ki Ng, Bernadette M. Fitzgibbon, Patrick J. Owen, Clint T. Miller, Steven J. Bowe, Daniel L. Belavy
      European Journal of Pain.2022; 26(3): 578.     CrossRef
    • Comparative effectiveness of non-pharmacological interventions for depressive symptoms in mild cognitive impairment: systematic review with network meta-analysis
      Zijun Xu, Wen Sun, Dexing Zhang, Vincent Chi-Ho Chung, Samuel Yeung-Shan Wong
      Aging & Mental Health.2022; 26(11): 2129.     CrossRef
    • Oral Anticoagulation Timing in Patients with Acute Ischemic Stroke and Atrial Fibrillation
      Po-Yin Chang, Wei-Ting Wang, Wei-Lun Wu, Hui-Chin Chang, Chen-Huan Chen, Yi-Wen Tsai, Shih-Hwa Chiou, Gregory Y. H. Lip, Hao-Min Cheng, Chern-En Chiang
      Thrombosis and Haemostasis.2022; 122(06): 939.     CrossRef
    • Comparative Efficacy of Chinese Herbal Injections for Treating Severe Pneumonia: A Systematic Review and Bayesian Network Meta-Analysis of Randomized Controlled Trials
      Liqing Niu, Lu Xiao, Xuemin Zhang, Xuezheng Liu, Xinqiao Liu, Xianglong Huang, Mingzhu Zhang
      Frontiers in Pharmacology.2022;[Epub]     CrossRef
    • The relative effectiveness of different combination modes for exercise and cognitive training on cognitive function in people with mild cognitive impairment or Alzheimer’s disease: a network meta-analysis
      Xiaoyan Zhao, Xiuxiu Huang, Ying Cai, Ting Cao, Qiaoqin Wan
      Aging & Mental Health.2022; 26(12): 2328.     CrossRef
    • Platelet-rich plasma therapy ensures pain reduction in the management of lateral epicondylitis – a PRISMA-compliant network meta-analysis of randomized controlled trials
      Sathish Muthu, Sandeep Patel, Ashwin Gobbur, Sandesh C Patil, Karthikav Hathwar Ks, Vijendra Yadav, Madhan Jeyaraman
      Expert Opinion on Biological Therapy.2022; 22(4): 535.     CrossRef
    • Different internal fixation methods for unstable distal clavicle fractures in adults: a systematic review and network meta-analysis
      Yinglong Xu, Xiaobo Guo, Hui Peng, Hai Dai, Zonggui Huang, Jinmin Zhao
      Journal of Orthopaedic Surgery and Research.2022;[Epub]     CrossRef
    • Neuropsychological Interventions for Cancer-Related Cognitive Impairment: A Network Meta-Analysis of Randomized Controlled Trials
      Andy S. K. Cheng, Xiaoming Wang, Niu Niu, Minyu Liang, Yingchun Zeng
      Neuropsychology Review.2022; 32(4): 893.     CrossRef
    • Extracorporeal Shock Wave Therapy Shows Superiority Over Injections for Pain Relief and Grip Strength Recovery in Lateral Epicondylitis: A Systematic Review and Network Meta-analysis
      Wen-Chih Liu, Chih-Ting Chen, Cheng-Chang Lu, Yun-Che Tsai, Ying-Chun Liu, Chih-Wei Hsu, Chia-Lung Shih, Po-Cheng Chen, Yin-Chih Fu
      Arthroscopy: The Journal of Arthroscopic & Related Surgery.2022; 38(6): 2018.     CrossRef
    • Comparative effects of left bundle branch area pacing, His bundle pacing, biventricular pacing in patients requiring cardiac resynchronization therapy: A network meta‐analysis
      Juan Hua, Chenxi Wang, Qiling Kong, Yichu Zhang, Qijun Wang, Ziyi Xiong, Jinzhu Hu, Juxiang Li, Qi Chen, Kui Hong
      Clinical Cardiology.2022; 45(2): 214.     CrossRef
    • The safety and efficacy of different endovascular treatments for in-stent restenosis of the femoropopliteal artery: A network meta-analysis
      Zhipeng He, Haoran Wang, Feng Lin, Wenjie Ding, Ke Chen, Zhigong Zhang
      Vascular Medicine.2022; 27(3): 239.     CrossRef
    • The Adjunct of Electric Neurostimulation to Rehabilitation Approaches in Upper Limb Stroke Rehabilitation: A Systematic Review With Network Meta-Analysis of Randomized Controlled Trials
      Ishtiaq Ahmed, Ipek Yeldan, Rustem Mustafaoglu
      Neuromodulation: Technology at the Neural Interface.2022; 25(8): 1197.     CrossRef
    • Maintenance Therapy for Preventing Endometrioma Recurrence after Endometriosis Resection Surgery – A Systematic Review and Network Meta-analysis
      Chui-Ching Chiu, Teh-Fu Hsu, Ling-Yu Jiang, I-San Chan, Ying-Chu Shih, Yen-Hou Chang, Peng-Hui Wang, Yi-Jen Chen
      Journal of Minimally Invasive Gynecology.2022; 29(5): 602.     CrossRef
    • Comparative effectiveness of N95, surgical or medical, and non‐medical facemasks in protection against respiratory virus infection: A systematic review and network meta‐analysis
      Min Seo Kim, Dawon Seong, Han Li, Seo Kyoung Chung, Youngjoo Park, Minho Lee, Seung Won Lee, Dong Keon Yon, Jae Han Kim, Keum Hwa Lee, Marco Solmi, Elena Dragioti, Ai Koyanagi, Louis Jacob, Andreas Kronbichler, Kalthoum Tizaoui, Sarah Cargnin, Salvatore T
      Reviews in Medical Virology.2022;[Epub]     CrossRef
    • Treatment Regimens for Transplant-Ineligible Patients With Newly Diagnosed Multiple Myeloma: A Systematic Literature Review and Network Meta-analysis
      Thierry Facon, Jesús San-Miguel, Meletios A. Dimopoulos, Maria-Victoria Mateos, Michele Cavo, Sophie van Beekhuizen, Zijiao Yuan, João Mendes, Annette Lam, Jianming He, Eric Ammann, Shaji Kumar
      Advances in Therapy.2022; 39(5): 1976.     CrossRef
    • Effects of Four Types of Watermelon Frost Combination Medications for the Treatment of Oral Ulcers: A Network Meta-Analysis
      Zhenhua Liu, Huiqin Dou, Liaqat Ali
      Journal of Healthcare Engineering.2022; 2022: 1.     CrossRef
    • Neoadjuvant and Adjuvant Treatments Compared to Concurrent Chemoradiotherapy for Patients With Locally Advanced Cervical Cancer: A Bayesian Network Meta-Analysis
      Yunfeng Qiao, Huijun Li, Bing Peng
      Frontiers in Oncology.2022;[Epub]     CrossRef
    • Comparative Efficacy of Tonic Chinese Herbal Injections for Treating Sepsis or Septic Shock: A Systematic Review and Bayesian Network Meta-Analysis of Randomized Controlled Trials
      Lu Xiao, Liqing Niu, Xinyi Xu, Yuetong Zhao, Linkai Yue, Xinqiao Liu, Guiwei Li
      Frontiers in Pharmacology.2022;[Epub]     CrossRef
    • Bevacizumab versus PARP-inhibitors in women with newly diagnosed ovarian cancer: a network meta-analysis
      Young Ju Suh, Banghyun Lee, Kidong Kim, Yujin Jeong, Hwa Yeon Choi, Sung Ook Hwang, Yong Beom Kim
      BMC Cancer.2022;[Epub]     CrossRef
    • Comparison of different probiotics in the treatment of acute diarrhea in children
      Xiao Feng, LiJuan Zhuang, Ling Chen, Hongying Zhao, Rui Huang, ZhiFeng Guo
      Medicine.2022;[Epub]     CrossRef
    • The effect of Varenicline and Bupropion on smoking cessation: A network meta-analysis of 20 randomized controlled trials
      Kangle Guo, Shizhong Wang, Xue Shang, Fenfen E, Liangying Hou, Jieyun Li, Yanfei Li, Kehu Yang, Xiuxia Li
      Addictive Behaviors.2022; 131: 107329.     CrossRef
    • Comparative efficacy of seven Chinese patent medicines for early diabetic kidney disease: A Bayesian network meta-analysis
      Jie Zhao, Jun Ai, Chao Mo, Wei Shi, LiFeng Meng
      Complementary Therapies in Medicine.2022; 67: 102831.     CrossRef
    • Comparative Outcomes of Commonly Used Off-Label Atypical Antipsychotics in the Treatment of Dementia-Related Psychosis: A Network Meta-analysis
      Ismaeel Yunusa, Nazia Rashid, George N. Demos, Bhargavi S. Mahadik, Victor C. Abler, Krithika Rajagopalan
      Advances in Therapy.2022; 39(5): 1993.     CrossRef
    • Similar Effects of Exercise Therapy, Nonsteroidal Anti-inflammatory Drugs, and Opioids for Knee Osteoarthritis Pain: A Systematic Review with Network Meta-analysis
      Jonas Bloch Thorlund, Milena Simic, Kenneth Pihl, Dorthe Bang Berthelsen, Richard Day, Bart Koes, Carsten Bogh Juhl
      Journal of Orthopaedic & Sports Physical Therapy.2022; 52(4): 207.     CrossRef
    • Acceptability of Drugs in the Treatment of Unresectable/Metastatic BRAF V600-Mutant Melanoma: A Systematic Review and Network Meta-Analysis
      Ling Hong, Ping Huang, Xiaochun Zheng, Xiaolan Ye, Hongying Zhao, Jianwei Wang, Yanfei Shao
      Frontiers in Oncology.2022;[Epub]     CrossRef
    • Comparative Efficacy of Antihypertensive Agents in Flow-Mediated Vasodilation of Patients with Hypertension: Network Meta-Analysis of Randomized Controlled Trial
      Hong Ding, Shu Liu, Ke-Xin Zhao, Jie Pu, Ya-Fei Xie, Xiao-Wei Zhang, Thereza Maria Magalhães Moreira
      International Journal of Hypertension.2022; 2022: 1.     CrossRef
    • The vaginal microbiome and the risk of preterm birth: a systematic review and network meta-analysis
      Unnur Gudnadottir, Justine W. Debelius, Juan Du, Luisa W. Hugerth, Hanna Danielsson, Ina Schuppe-Koistinen, Emma Fransson, Nele Brusselaers
      Scientific Reports.2022;[Epub]     CrossRef
    • Comparative efficacy of Chinese herbal injections for treating severe pneumonia: A protocol for systematic review and Bayesian network meta-analysis of randomized controlled trials
      Lu Xiao, Liqing Niu, Xuemin Zhang, Xuezheng Liu, Xinqiao Liu, Chongxiang Sun, Xiaokun Yang, Ivan D. Florez
      PLOS ONE.2022; 17(5): e0262776.     CrossRef
    • Efficacy and Safety of Oral Anticoagulants for Atrial Fibrillation Patients With Chronic Kidney Disease: A Systematic Review and Meta-Analysis
      Tae-Min Rhee, So-Ryoung Lee, Eue-Keun Choi, Seil Oh, Gregory Y. H. Lip
      Frontiers in Cardiovascular Medicine.2022;[Epub]     CrossRef
    • Efficacy and Safety of Various First-Line Therapeutic Strategies for Fetal Tachycardias: A Network Meta-Analysis and Systematic Review
      Jiangwei Qin, Zhengrong Deng, Changqing Tang, Yunfan Zhang, Ruolan Hu, Jiawen Li, Yimin Hua, Yifei Li
      Frontiers in Pharmacology.2022;[Epub]     CrossRef
    • Comparison of Preoperative Imaging Modalities for the Assessment of Malignant Potential of Pancreatic Cystic Lesions
      Sang-Woo Lee, Sung Ryul Shim, Shin Young Jeong, Seong-Jang Kim
      Clinical Nuclear Medicine.2022; 47(10): 849.     CrossRef
    • Effect of Exercise Training on Body Composition and Inflammatory Cytokine Levels in Overweight and Obese Individuals: A Systematic Review and Network Meta-Analysis
      Shengya Wang, Huayi Zhou, Changtao Zhao, Hui He
      Frontiers in Immunology.2022;[Epub]     CrossRef
    • Application of Diffusion Tensor Imaging (DTI) in the Diagnosis of HIV-Associated Neurocognitive Disorder (HAND): A Meta-Analysis and a System Review
      Juming Ma, Xue Yang, Fan Xu, Hongjun Li
      Frontiers in Neurology.2022;[Epub]     CrossRef
    • Pregabalin administration in patients with fibromyalgia: a Bayesian network meta-analysis
      Filippo Migliorini, Nicola Maffulli, Matthias Knobe, Giacomo Tenze, Ali Aljalloud, Giorgia Colarossi
      Scientific Reports.2022;[Epub]     CrossRef
    • Comparative Efficacy of Chinese Patent Medicines for Clearing Heat and Dampness in the Treatment of NAFLD: A Network Meta-Analysis of Real-World Evidence
      Yuan Xu, Yan Wang, Xiao-jun Gou, Man Wang, Xuezhong Zhou
      Evidence-Based Complementary and Alternative Medicine.2022; 2022: 1.     CrossRef
    • Lasers and Intense Pulsed Light for the Treatment of Pathological Scars: A Network Meta-Analysis
      Xuan-Jun Liu, Wen-Hui Liu, Shao-Wen Fang, Xin-Long Zhou, Jia-Xiang Xu, Guang-Shuai Li
      Aesthetic Surgery Journal.2022; 42(11): NP675.     CrossRef
    • Comparative efficacy of radiofrequency denervation in chronic low back pain: A systematic review and network meta-analysis
      Han Li, Junyan An, Jun Zhang, Weijian Kong, Zhihe Yun, Tong Yu, Xinyu Nie, Qinyi Liu
      Frontiers in Surgery.2022;[Epub]     CrossRef
    • Acupuncture and moxibustion for chronic fatigue syndrome: A systematic review and network meta-analysis
      Yang Fang, Bo-Wen Yue, Han-Bo Ma, Yi-Peng Yuan
      Medicine.2022; 101(31): e29310.     CrossRef
    • Effectiveness of Microecological Preparations for Improving Renal Function and Metabolic Profiles in Patients With Chronic Kidney Disease
      Jiaxing Tan, Huan Zhou, Jiaxin Deng, Jiantong Sun, Xiaoyuan Zhou, Yi Tang, Wei Qin
      Frontiers in Nutrition.2022;[Epub]     CrossRef
    • Risk of nonmajor bleeding upon use of direct oral anticoagulants for preventing and treating venous thromboembolism: A network meta-analysis
      Jiana Chen, Meina Lv, Shaojun Jiang, Shuyi Wu, Wenlin Xu, Jiafen Qian, Zhiwei Zeng, Mingrong Chen, Zongwei Fang, Jinhua Zhang
      Vascular Medicine.2022; 27(6): 565.     CrossRef
    • Comparison of different sedatives in children before general anaesthesia for selective surgery: A network meta‐analysis
      Chuan‐Qi Yang, Kai‐Hua Yu, Rong‐Rong Huang, Shan‐Shan Qu, Jun‐Mei Zhang, Yu‐Lan Li
      Journal of Clinical Pharmacy and Therapeutics.2022; 47(10): 1495.     CrossRef
    • Percutaneous coronary intervention in calcified stenoses: a protocol for a systematic review with meta-analysis, trial sequential analysis and network meta-analysis
      Andreas Torp Kristensen, Janus C Jakobsen, Niels Thue Olsen
      BMJ Open.2022; 12(9): e063884.     CrossRef
    • Comparison of efficacy of three commonly used alpha-blockers as medical expulsive therapy for distal ureter stones: A systematic review and network meta-analysis
      Gopal Sharma, Tarun Pareek, Pawan Kaundal, Shantanu Tyagi, Saket Singh, Thummala Yashaswi, Sudheer Kumar Devan, Aditya Prakash Sharma
      International braz j urol.2022; 48(5): 742.     CrossRef
    • Effects of different interventions on smoking cessation in chronic obstructive pulmonary disease patients: A systematic review and network meta-analysis
      Xuefeng Wei, Kangle Guo, Xue Shang, Shizhong Wang, Chaoqun Yang, Jieyun Li, Yanfei Li, Kehu Yang, Xiuxia Li, Xiaohui Zhang
      International Journal of Nursing Studies.2022; 136: 104362.     CrossRef
    • Which type of mind–body exercise is most effective in improving functional performance and quality of life in patients with Parkinson's disease? A systematic review with network meta-analysis
      Rustem Mustafaoglu, Ishtiaq Ahmed, Marco Y. C. Pang
      Acta Neurologica Belgica.2022; 122(6): 1433.     CrossRef
    • Effects of Different Treatment Regimens on Primary Spontaneous Pneumothorax: A Systematic Review and Network Meta-Analysis
      Muredili Muhetaer, Keriman Paerhati, Qingchao Sun, Desheng Li, Liang Zong, Haiping Zhang, Liwei Zhang
      Annals of Thoracic and Cardiovascular Surgery.2022; 28(6): 389.     CrossRef
    • Comparative efficacy of eight therapeutic methods in the treatment of left main coronary artery disease: a Bayesian network meta-analysis protocol
      Biao Hou, Manlin Chen, Qin Li, Weimin Huang, Liang Wang
      BMJ Open.2022; 12(9): e058886.     CrossRef
    • A pan-cancer bioinformatic analysis of the carcinogenic role of SMARCA1 in human carcinomas
      Lei Dai, Joseph Mugaanyi, Tongyue Zhang, Jingshu Tong, Xingchen Cai, Caide Lu, Changjiang Lu, Avaniyapuram Kannan Murugan
      PLOS ONE.2022; 17(9): e0274823.     CrossRef
    • Effect of Exercise on Vascular Function and Blood Lipids in Postmenopausal Women: A Systematic Review and Network Meta-Analysis
      Chenxi Xin, Mingyi Ye, Qianqian Zhang, Hui He
      International Journal of Environmental Research and Public Health.2022; 19(19): 12074.     CrossRef
    • Which physical therapy intervention is most effective in reducing secondary lymphoedema associated with breast cancer? Protocol for a systematic review and network meta-analysis
      Raúl Alberto Aguilera-Eguía, Pamela Seron, Ruvistay Gutiérrez-Arias, Carlos Zaror
      BMJ Open.2022; 12(9): e065045.     CrossRef
    • Efficacy and tolerability of antidepressant drugs in treatment of depression in children and adolescents: a network meta-analysis
      Yanxiao RAO, Rongwang YANG, Jing ZHAO, Qingjiu CAO
      Journal of Zhejiang University (Medical Sciences).2022; 51(4): 480.     CrossRef
    • Optimized ventilation strategy for surgery on patients with obesity from the perspective of lung protection: A network meta-analysis
      Jing Wang, Jie Zeng, Chao Zhang, Wenwen Zheng, Xilu Huang, Nan Zhao, Guangyou Duan, Cong Yu
      Frontiers in Immunology.2022;[Epub]     CrossRef
    • Varenicline and related interventions on smoking cessation: A systematic review and network meta-analysis
      Kangle Guo, Liying Zhou, Xue Shang, Chaoqun Yang, Fenfen E, Yan Wang, Meng Xu, Yanan Wu, Yanfei Li, Meixuan Li, Kehu Yang, Xiuxia Li
      Drug and Alcohol Dependence.2022; 241: 109672.     CrossRef
    • Pharmacological interventions on smoking cessation: A systematic review and network meta-analysis
      Xue Shang, Kangle Guo, Fenfen E., Xinxin Deng, Yongsheng Wang, Ziyi Wang, Yanan Wu, Meng Xu, Chaoqun Yang, Xiuxia Li, Kehu Yang
      Frontiers in Pharmacology.2022;[Epub]     CrossRef
    • Comparative Effectiveness of Multiple Exercise Interventions in the Treatment of Mental Health Disorders: A Systematic Review and Network Meta-Analysis
      Qian Yu, Ka-Kit Wong, On-Kei Lei, Jinlei Nie, Qingde Shi, Liye Zou, Zhaowei Kong
      Sports Medicine - Open.2022;[Epub]     CrossRef
    • Comparison of seven cyclosporine A formulations for dry eye disease: A systematic review and network meta-analysis
      Dongyang Gao, Zhuoli Da, Kan Yang, Yuanyuan Shi
      Frontiers in Pharmacology.2022;[Epub]     CrossRef
    • The efficacy and safety of different endovascular modalities for infrapopliteal arteries lesions: A network meta-analysis of randomized controlled trials
      Julong Guo, Yachan Ning, Hui Wang, Yu Li, Zhixiang Su, Fan Zhang, Sensen Wu, Lianrui Guo, Yongquan Gu
      Frontiers in Cardiovascular Medicine.2022;[Epub]     CrossRef
    • Efficacy of non-pharmacological interventions for depression in individuals with Parkinson's disease: A systematic review and network meta-analysis
      Yuxin Wang, Xue Sun, Fei Li, Qi Li, Yi Jin
      Frontiers in Aging Neuroscience.2022;[Epub]     CrossRef
    • Optimal modes of mind-body exercise for treating chronic non-specific low back pain: Systematic review and network meta-analysis
      Jian Shi, Zheng-Yu Hu, Yu-Rong Wen, Ya-Fei Wang, Yang-Yang Lin, Hao-Zhi Zhao, You-Tian Lin, Yu-Ling Wang
      Frontiers in Neuroscience.2022;[Epub]     CrossRef
    • Optimal parameter determination of repetitive transcranial magnetic stimulation for treating treatment-resistant depression: A network meta-analysis of randomized controlled trials
      Jinbiao Li, Liqian Cui, Hao Li
      Frontiers in Psychiatry.2022;[Epub]     CrossRef
    • Comparative efficacy of exercise modalities for cardiopulmonary function in hemodialysis patients: A systematic review and network meta-analysis
      Wanli Zang, Mingqing Fang, He He, Liang Mu, Xiaoqin Zheng, Heng Shu, Nan Ge, Su Wang
      Frontiers in Public Health.2022;[Epub]     CrossRef
    • A network meta-analysis of 12,116 individuals from randomized controlled trials in the treatment of depression after acute coronary syndrome
      Grace En Hui Lim, Ansel Tang, Yip Han Chin, Jie Ning Yong, Darren Tan, Phoebe Tay, Yu Yi Chan, Denzel Ming Wei Lim, Jun Wei Yeo, Kai En Chan, Kamala Devi, Colin Eng Choon Ong, Roger S. Y. Foo, Huay-Cheem Tan, Mark Y. Chan, Roger Ho, Poay Huan Loh, Nichola
      PLOS ONE.2022; 17(11): e0278326.     CrossRef
    • Psychological treatments for excessive gaming: a systematic review and meta-analysis
      Jueun Kim, Sunmin Lee, Dojin Lee, Sungryul Shim, Daniel Balva, Kee-Hong Choi, Jeanyung Chey, Suk-Ho Shin, Woo-Young Ahn
      Scientific Reports.2022;[Epub]     CrossRef
    • Efficacy and safety of proton pump inhibitors versus vonoprazan in treatment of erosive esophagitis: A PRISMA-compliant systematic review and network meta-analysis
      Sensen Yang, Weishang Deng, Zeyu Xie, Jisheng Chen
      Medicine.2022; 101(47): e31807.     CrossRef
    • Comparative Muscle Tolerability of Different Types and Intensities of Statins: A Network Meta-Analysis of Double-Blind Randomized Controlled Trials
      Qingtao Hou, Yuqin Chen, Yingxiao Zhang, Caishuang Pang
      Cardiovascular Drugs and Therapy.2022;[Epub]     CrossRef
    • Treatment of major depressive disorder (MDD) or dysthymic disorder (DD) in spinal cord injury (SCI) patients: a protocol for a systematic review and network meta-analysis
      Ji Min Han, Won Seuk Choi, Hyun Choi, Bo-Hyoung Jang, Hyun-Jin Kim, Chi Hyoung Son, Ji Young Park, Ye Soon Kim, Hyo Jin Jang, Jung Hwan Kim
      BMJ Open.2022; 12(12): e055800.     CrossRef
    • Acupuncture and related therapies for the anxiety and depression in irritable bowel syndrome with diarrhea (IBS-D): A network meta-analysis of randomized controlled trials
      Xuesong Wang, Xuliang Shi, Jing Lv, Juncha Zhang, Yongli Huo, Guang Zuo, Guangtong Lu, Cunzhi Liu, Yanfen She
      Frontiers in Psychiatry.2022;[Epub]     CrossRef
    • The Effects of Different Training Interventions on Soccer Players’ Sprints and Changes of Direction: A Network Meta-Analysis of Randomized Controlled Trials
      Kuan Dong, Guyeol Jeong, Buongo Chun
      Applied Sciences.2022; 13(1): 446.     CrossRef
    • Comment on “Efficacy and safety of oral phosphodiesterase 5 inhibitor for erectile dysfunction: a network meta-analysis and multicriteria decision”
      Kumar Rajiv Ranjan, Gopal Sharma
      World Journal of Urology.2021; 39(7): 2815.     CrossRef
    • Response to Discussion: ‘Which specific modes of exercise training are most effective for treating low back pain? Network meta-analysis’
      Daniel L Belavy, Patrick J Owen, Clint T Miller, Niamh L Mundell, Scott D Tagliaferri, Helena Brisby, Steven J Bowe
      British Journal of Sports Medicine.2021; 55(5): 287.     CrossRef
    • Comparative Effectiveness of Orthoses for Thumb Osteoarthritis: A Systematic Review and Network Meta-analysis
      Nicola Marotta, Andrea Demeco, Cinzia Marinaro, Lucrezia Moggio, Ilaria Pino, Marianna Barletta, Annalisa Petraroli, Antonio Ammendolia
      Archives of Physical Medicine and Rehabilitation.2021; 102(3): 502.     CrossRef
    • Efficacy and safety of remdesivir in hospitalized Covid‐19 patients: Systematic review and meta‐analysis including network meta‐analysis
      Hozaifa Khalil Elsawah, Mohamed Ahmed Elsokary, Mahmoud Samy Abdallah, Ahmed Hanei ElShafie
      Reviews in Medical Virology.2021;[Epub]     CrossRef
    • Efficacy and safety of tyrosine kinase inhibitors in advanced non-small-cell lung cancer harboring epidermal growth factor receptor mutation: a network meta-analysis
      Abdullah Alanazi, Ismaeel Yunusa, Khaled Elenizi, Abdulaziz I Alzarea
      Lung Cancer Management.2021;[Epub]     CrossRef
    • Comparison of Surgical Treatments for Zenker Diverticulum
      Neel K. Bhatt, Joshua Mendoza, Dorina Kallogjeri, Angela C. Hardi, Joseph P. Bradley
      JAMA Otolaryngology–Head & Neck Surgery.2021; 147(2): 190.     CrossRef
    • Intravitreal anti‐vascular endothelial growth factors, panretinal photocoagulation and combined treatment for proliferative diabetic retinopathy: a systematic review and network meta‐analysis
      Matteo Fallico, Andrea Maugeri, Andrew Lotery, Antonio Longo, Vincenza Bonfiglio, Andrea Russo, Teresio Avitabile, Alfredo Pulvirenti, Claudio Furino, Gilda Cennamo, Martina Barchitta, Antonella Agodi, Michele Reibaldi
      Acta Ophthalmologica.2021;[Epub]     CrossRef
    • Survival outcomes of neoadjuvant chemotherapy-related strategies compared with concurrent chemoradiotherapy for locally advanced cervical cancer: a meta-analysis of randomized controlled trials
      Baogang Wang, Yuying Tan, Xiaolin Yang, Xiaxia Man
      Archives of Gynecology and Obstetrics.2021; 304(2): 485.     CrossRef
    • Improved survival after pancreatic re-resection of positive neck margin in pancreatic cancer patients. A systematic review and network meta-analysis
      Stefano Crippa, Claudio Ricci, Giovanni Guarneri, Carlo Ingaldi, Giulia Gasparini, Stefano Partelli, Riccardo Casadei, Massimo Falconi
      European Journal of Surgical Oncology.2021; 47(6): 1258.     CrossRef
    • Nonpharmacological interventions for relapse prevention in unipolar depression: A network meta-analysis
      Dongdong Zhou, Xiaoxin Zhou, Qingxia Lin, Wo Wang, Zhen Lv, Xiaorong Chen, Gang Nie, Li Kuang
      Journal of Affective Disorders.2021; 282: 1255.     CrossRef
    • Treatment of Advanced Gastro-Entero-Pancreatic Neuro-Endocrine Tumors: A Systematic Review and Network Meta-Analysis of Phase III Randomized Controlled Trials
      Claudio Ricci, Giuseppe Lamberti, Carlo Ingaldi, Cristina Mosconi, Nico Pagano, Laura Alberici, Valentina Ambrosini, Lisa Manuzzi, Fabio Monari, Deborah Malvi, Francesca Rosini, Francesco Minni, Davide Campana, Riccardo Casadei
      Cancers.2021; 13(2): 358.     CrossRef
    • Antibiotics for hospital-acquired pneumonia in neonates and children
      Steven Kwasi Korang, Chiara Nava, Ulrikka Nygaard, Janus C Jakobsen
      Cochrane Database of Systematic Reviews.2021;[Epub]     CrossRef
    • Non-pharmacological Treatment for Elderly Individuals With Insomnia: A Systematic Review and Network Meta-Analysis
      Chan-Young Kwon, Boram Lee, Moon Joo Cheong, Tae-Hun Kim, Bo-Hyoung Jang, Sun Yong Chung, Jong Woo Kim
      Frontiers in Psychiatry.2021;[Epub]     CrossRef
    • Investigation on the Efficiency of Chinese Herbal Injections for Treating Non-small Cell Lung Cancer With Vinorelbine and Cisplatin Based on Multidimensional Bayesian Network Meta-Analysis
      Mengwei Ni, Haojia Wang, Miaomiao Wang, Wei Zhou, Jingyuan Zhang, Jiarui Wu, Dan Zhang, Zhiwei Jing, Xinkui Liu, Zhishan Wu, Siyu Guo, Shanshan Jia, Xiaomeng Zhang, Xiaoguang Sheng
      Frontiers in Pharmacology.2021;[Epub]     CrossRef
    • Diagnostic values of F-18 FDG PET or PET/CT, CT, and US for Preoperative Lymph Node Staging in Thyroid Cancer: A Network Meta-Analysis
      Keunyoung Kim, Sung-Ryul Shim, Sang-Woo Lee, Seong-Jang Kim
      The British Journal of Radiology.2021; 94(1120): 20201076.     CrossRef
    • Efficacy and safety of treatment modalities across EGFR selected/unselected populations with non-small cell lung cancer and brain metastases: A systematic review and Bayesian network meta-analysis
      Lihui Liu, Hua Bai, Samuel Seery, Sini Li, Chao Wang, Pei Xue, Jie Zhao, Jie Wang
      Lung Cancer.2021; 158: 74.     CrossRef
    • Comparative Efficacy and Safety of Non-Steroidal Anti-Inflammatory Drugs in Patients With Juvenile Idiopathic Arthritis: A Systematic Review and Network Meta-analysis
      Chun-lian Shi, Yu Zhang, Zhi-yong Zhang, Juan Zhou, Xue-mei Tang
      Indian Pediatrics.2021; 58(2): 162.     CrossRef
    • Delirium screening tools in the emergency department
      Qian Zhang, Sheng Li, Meixi Chen, Qiuyu Yang, Xiao Cao, Long Ge, Baoshan Di
      Medicine.2021; 100(8): e24779.     CrossRef
    • Comparative efficacy of pharmacological treatments on measures of self-rated functional outcomes using the Sheehan Disability Scale in patients with major depressive disorder: a systematic review and network meta-analysis
      Bing Cao, Lu Xu, Yan Chen, Dongfang Wang, Yena Lee, Joshua D. Rosenblat, Xiao Gao, Siyan Zhan, Feng Sun, Roger S. McIntyre
      CNS Spectrums.2021; : 1.     CrossRef
    • Network meta-analysis of infliximab biosimilars for the treatment of rheumatoid arthritis
      Conor Hanrahan, Todd Lee
      American Journal of Health-System Pharmacy.2021; 78(8): 697.     CrossRef
    • The risk of gastrointestinal hemorrhage with non-vitamin K antagonist oral anticoagulants
      Hyun Jin Oh, Kum Hei Ryu, Bum Joon Park, Byung-Ho Yoon
      Medicine.2021; 100(11): e25216.     CrossRef
    • Evaluation of cost-effectiveness among open, laparoscopic and robotic distal pancreatectomy: A systematic review and meta-analysis
      Stefano Partelli, Claudio Ricci, Lorenzo Cinelli, Roberto Maria Montorsi, Carlo Ingaldi, Valentina Andreasi, Stefano Crippa, Laura Alberici, Riccardo Casadei, Massimo Falconi
      The American Journal of Surgery.2021; 222(3): 513.     CrossRef
    • Systematic review and meta-analysis of in vitro efficacy of antibiotic combination therapy against carbapenem-resistant Gram-negative bacilli
      Luigia Scudeller, Elda Righi, Margherita Chiamenti, Damiano Bragantini, Giulia Menchinelli, Paolo Cattaneo, Christian G. Giske, Thomas Lodise, Maurizio Sanguinetti, Laura J.V. Piddock, François Franceschi, Sally Ellis, Elena Carrara, Alessia Savoldi, Evel
      International Journal of Antimicrobial Agents.2021; 57(5): 106344.     CrossRef
    • Comparison of efficacy of various drugs used for medical expulsive therapy for distal ureter stones: A systematic review and network meta‐analysis
      Gopal Sharma, Pawan Kaundal, Tarun Pareek, Shantanu Tyagi, Aditya P. Sharma, Sudheer K. Devana, Shrawan K. Singh
      International Journal of Clinical Practice.2021;[Epub]     CrossRef
    • Transplantation of mesenchymal stem cells for spinal cord injury: a systematic review and network meta-analysis
      Wei-can Chen, Wei-feng Liu, Yu-yan Bai, Ying-ying Zhou, Yan Zhang, Cong-mei Wang, Shu Lin, He-fan He
      Journal of Translational Medicine.2021;[Epub]     CrossRef
    • The Efficacy of Hypotensive Agents on Intraoperative Bleeding and Recovery Following General Anesthesia for Nasal Surgery: A Network Meta-Analysis
      Do Hyun Kim, Junuk Lee, Sung Won Kim, Se Hwan Hwang
      Clinical and Experimental Otorhinolaryngology.2021; 14(2): 200.     CrossRef
    • Resistance Training Load Effects on Muscle Hypertrophy and Strength Gain: Systematic Review and Network Meta-analysis
      Medicine & Science in Sports & Exercise.2021; 53(6): 1206.     CrossRef
    • The adjunct of transcranial direct current stimulation to Robot-assisted therapy in upper limb post-stroke treatment
      Nicola Marotta, Andrea Demeco, Lucrezia Moggio, Antonio Ammendolia
      Journal of Medical Engineering & Technology.2021; 45(6): 494.     CrossRef
    • Direct Comparison of Preoperative Imaging Modalities for Localization of Primary Hyperparathyroidism
      Sang-Woo Lee, Sung Ryul Shim, Shin Young Jeong, Seong-Jang Kim
      JAMA Otolaryngology–Head & Neck Surgery.2021; 147(8): 692.     CrossRef
    • Comparison of efficacy and safety of various management options for large upper ureteric stones a systematic review and network meta-analysis
      Gopal Sharma, Tarun Pareek, Shantanu Tyagi, Pawan Kaundal, Anuj Kumar Yadav, Yashasvi Thummala, Sudheer Kumar Devana
      Scientific Reports.2021;[Epub]     CrossRef
    • Anti‐fungal agents in the treatment of chronic pulmonary aspergillosis: Systematic review and a network meta‐analysis
      Inderpaul Singh Sehgal, Sahajal Dhooria, Kuruswamy Thurai Prasad, Valliappan Muthu, Ashutosh Nath Aggarwal, Arunaloke Chakrabarti, Ritesh Agarwal
      Mycoses.2021; 64(9): 1053.     CrossRef
    • Comparative Effectiveness of Interventions for Global Cognition in Patients With Mild Cognitive Impairment: A Systematic Review and Network Meta-Analysis of Randomized Controlled Trials
      Zijun Xu, Wen Sun, Dexing Zhang, Vincent Chi-Ho Chung, Regina Wing-Shan Sit, Samuel Yeung-Shan Wong
      Frontiers in Aging Neuroscience.2021;[Epub]     CrossRef
    • Diagnostic Values of 8 Different Imaging Modalities for Preoperative Detection of Axillary Lymph Node Metastasis of Breast Cancer
      Keunyoung Kim, Sung-Ryul Shim, Seong-Jang Kim
      American Journal of Clinical Oncology.2021; 44(7): 331.     CrossRef
    • Investigation on the clinical efficacy and mechanism of compound kushen injection in treating esophageal cancer based on multi-dimensional network meta-analysis and in vitro experiment
      Wei Zhou, Zhihong Huang, Chao Wu, Shan Lu, Changgeng Fu, Peizhi Ye, Yingying Tan, Zhishan Wu, Xiaotian Fan, Jingyuan Zhang, Siyu Guo, Shanshan Jia, Antony Stalin, Haojia Wang, Xiaomeng Zhang, Miaomiao Wang, Jiarui Wu
      Journal of Ethnopharmacology.2021; 279: 114386.     CrossRef
    • What Is the Optimal Resuscitation Fluid for Patients With Sepsis, Trauma, or Traumatic Brain Injury?
      Michael J. Yoo, Rachel E. Bridwell, Brit Long
      Annals of Emergency Medicine.2021; 78(2): 303.     CrossRef
    • The association between urate‐lowering therapies and treatment‐related adverse events, liver damage, and major adverse cardiovascular events (MACE): A network meta‐analysis of randomized trials
      Siliang Zhang, Qiming Xie, Shuqing Xie, Jianwei Chen, Qingyue Deng, Ling Zhong, Jing Guo, Yuan Yu
      Pharmacotherapy: The Journal of Human Pharmacology and Drug Therapy.2021; 41(9): 781.     CrossRef
    • Effects of Tranexamic Acid on Hemorrhage Control and Deep Venous Thrombosis Rate After Total Knee Arthroplasty: A Systematic Review and Network Meta-Analysis of Randomized Controlled Trials
      Tao Ling, Zhihu Zhao, Wenwen Xu, Weihong Ge, Lingli Huang
      Frontiers in Pharmacology.2021;[Epub]     CrossRef
    • Comparative Efficacy and Safety of Thrombopoietin Receptor Agonists in Adults With Thrombocytopenia: A Systematic Review and Network Meta-analysis of Randomized Controlled Trial
      Junzhu Deng, Haiyang Hu, Feihong Huang, Chunlan Huang, Qianqian Huang, Long Wang, Anguo Wu, Jing Yang, Dalian Qin, Wenjun Zou, Jianming Wu
      Frontiers in Pharmacology.2021;[Epub]     CrossRef
    • What is the Efficacy of Initial Therapies for Bleeding from Esophageal Varices in Adult Patients With Cirrhosis?
      Brit Long, Alex Koyfman, Michael Gottlieb
      Annals of Emergency Medicine.2021; 78(5): 670.     CrossRef
    • Optimisation of oral anticoagulants for patients with atrial fibrillation within 12 months after percutaneous coronary intervention: A meta-analysis and systematic review
      Shuo Wang, Ying Liu, Linxin Wang, Haiqi Zuo, Yanfeng Tian, Yimeng Wang, Dechun Yin, Haiyu Zhang, Ye Tian
      IJC Heart & Vasculature.2021; 36: 100850.     CrossRef
    • A network meta-analysis of direct oral anticoagulants for portal vein thrombosis in cirrhosis
      Cheng Han Ng, Darren Jun Hao Tan, Kameswara Rishi Yeshayahu Nistala, Nicholas Syn, Jieling Xiao, Eunice Xiang Xuan Tan, Felicia Zuying Woo, Nicholas W. S. Chew, Daniel Q. Huang, Yock Young Dan, Arun J. Sanyal, Mark D. Muthiah
      Hepatology International.2021; 15(5): 1196.     CrossRef
    • Comparative Effectiveness of Western and Eastern Manual Therapies for Chronic Obstructive Pulmonary Disease: A Systematic Review and Network Meta-Analysis
      Chan-Young Kwon, Boram Lee, Beom-Joon Lee, Kwan-Il Kim, Hee-Jae Jung
      Healthcare.2021; 9(9): 1127.     CrossRef
    • A Multidimensional Bayesian Network Meta-Analysis of Chinese Herbal Injections for Treating Non-small Cell Lung Cancer With Gemcitabine and Cisplatin
      Mengwei Ni, Zhishan Wu, Haojia Wang, Wei Zhou, Chao Wu, Antony Stalin, Changgeng Fu, Peizhi Ye, Shan Lu, Yingying Tan, Zhihong Huang, Xiaotian Fan, Jingyuan Zhang, Xiaomeng Zhang, Miaomiao Wang, Jiarui Wu
      Frontiers in Pharmacology.2021;[Epub]     CrossRef
    • Optimal Method of Electrical Stimulation for the Treatment of Upper Limb Dysfunction After Stroke: A Systematic Review and Bayesian Network Meta-Analysis of Randomized Controlled Trials
      Yuqi Tang, Linjia Wang, Jinxi He, Yipeng Xu, Shijie Huang, Yu Fang
      Neuropsychiatric Disease and Treatment.2021; Volume 17: 2937.     CrossRef
    • Deqi effect for treating knee osteoarthritis using manual acupuncture: A network meta-analysis
      Ke Liu, Ying Chen, Cunzhi Liu, Xiangyu Zhu, Longnv Li, Lulian Jiang, Liping Zhao
      Journal of Traditional Chinese Medical Sciences.2021; 8(4): 343.     CrossRef
    • The Optimal Energy Density of Photobiomodulation Therapy in Decreasing Orthodontic-Related Pain: A Systematic Review and Network Meta-Analysis
      Cheng Zhi, Tianqi Wang, Ziyuan Guo, Dongqiao Liu, Xiaoni Duan, Xiaotong Yu, Chunxiang Zhang
      Photobiomodulation, Photomedicine, and Laser Surgery.2021; 39(10): 642.     CrossRef
    • A network meta-analysis of secondary attack rates of COVID-19 in different contact environments
      Xunying Zhao, Ziqiong Shen, Litao Sun, Long Cheng, Mengyuan Wang, Xiaofan Zhang, Bin Xu, Lulu Tian, Yunqi Miao, Xueyao Wu, Kun Zou, Jiayuan Li
      Epidemiology and Infection.2021;[Epub]     CrossRef
    • The Efficacy and Safety of Pharmacological Treatments for Restless Legs Syndrome: Systemic Review and Network Meta-Analysis
      Xuan Zhou, Juncong Du, Yi Liang, Chengcheng Dai, Lili Zhao, Xi Liu, Changhong Tan, Lijuan Mo, Lifen Chen
      Frontiers in Neuroscience.2021;[Epub]     CrossRef
    • Effects of Three Traditional Chinese Fitness Exercises Combined with Antihypertensive Drugs on Patients with Essential Hypertension: A Systematic Review and Network Meta-Analysis of Randomized Controlled Trials
      Lulu Dai, Yuerong Jiang, Peili Wang, Keji Chen, Woon-Man Kung
      Evidence-Based Complementary and Alternative Medicine.2021; 2021: 1.     CrossRef
    • Antibiotics for hospital-acquired pneumonia in neonates and children
      Steven Kwasi Korang, Chiara Nava, Sutharshini Punniyamoorthy Mohana, Ulrikka Nygaard, Janus C Jakobsen
      Cochrane Database of Systematic Reviews.2021;[Epub]     CrossRef
    • Diagnostic value of RNA for hepatocellular carcinoma: a network meta-analysis
      Zhuo Han, Keming Li, Jinyu Wu, Keyan Wang, Cuipeng Qiu, Hua Ye, Chi Cui, Chunhua Song, Kaijuan Wang, Jianxiang Shi, Peng Wang, Jianying Zhang
      Biomarkers in Medicine.2021; 15(18): 1755.     CrossRef
    • Which is the best analgesia treatment for total knee arthroplasty: Adductor canal block, periarticular infiltration, or liposomal bupivacaine? A network meta-analysis
      Junheng Chen, Chunbin Zhou, Chuzhou Ma, Guoliang Sun, Lianxiong Yuan, Ziqing Hei, Chunming Guo, Weifeng Yao
      Journal of Clinical Anesthesia.2021; 68: 110098.     CrossRef
    • Effects of Aerobic Exercise and Mind-Body Exercise in Parkinson’s Disease: A Mixed-Treatment Comparison Analysis
      Chunxiao Wu, Yingshan Xu, Hongji Guo, Chunzhi Tang, Dongfeng Chen, Meiling Zhu
      Frontiers in Aging Neuroscience.2021;[Epub]     CrossRef
    • Network meta-analysis for comparative effectiveness of treatments for chronic low back pain disorders: systematic review protocol
      Daniel L Belavy, Ashish D Diwan, Jon Ford, Clint T Miller, Andrew J Hahne, Niamh Mundell, Scott Tagliaferri, Steven Bowe, Hugo Pedder, Tobias Saueressig, Xiaohui Zhao, Xiaolong Chen, Arun Prasad Balasundaram, Nitin Kumar Arora, Patrick J Owen
      BMJ Open.2021; 11(11): e057112.     CrossRef
    • Comparative Efficacy of Multiple Therapies for the Treatment of Patients With Subthreshold Depression: A Systematic Review and Network Meta-Analysis
      Xiumin Jiang, Yongxin Luo, Yiwen Chen, Jinglan Yan, Yucen Xia, Lin Yao, Xiaotong Wang, Su He, Feixue Wang, Taiyi Wang, Yongjun Chen
      Frontiers in Behavioral Neuroscience.2021;[Epub]     CrossRef
    • The vaginal microbiota, human papillomavirus and cervical dysplasia: a systematic review and network meta‐analysis
      J Norenhag, J Du, M Olovsson, H Verstraelen, L Engstrand, N Brusselaers
      BJOG: An International Journal of Obstetrics & Gynaecology.2020; 127(2): 171.     CrossRef
    • Nonpharmacological interventions for cancer-related cognitive impairment in adult cancer patients: A network meta-analysis
      Yingchun Zeng, Juntao Dong, Meiling Huang, Jun-e Zhang, Xiaoming Zhang, Man Xie, Jeffrey S. Wefel
      International Journal of Nursing Studies.2020; 104: 103514.     CrossRef
    • Adjuvant therapy for cutaneous melanoma: a systematic review and network meta‐analysis of new therapies
      C. Longo, R. Pampena, A. Lallas, A. Kyrgidis, A. Stratigos, K. Peris, C. Garbe, G. Pellacani
      Journal of the European Academy of Dermatology and Venereology.2020; 34(5): 956.     CrossRef
    • Systematic review and network meta-analysis comparing Chinese herbal injections with chemotherapy for treating patients with esophageal cancer
      Dan Zhang, Jiarui Wu, Haojia Wang, Wei Zhou, Mengwei Ni, Xinkui Liu, Xiaomeng Zhang
      Journal of International Medical Research.2020; 48(1): 030006051989833.     CrossRef
    • Impact of coronary bypass or stenting on mortality and myocardial infarction in stable coronary artery disease
      Nevio Taglieri, Antonio G. Bruno, Maria Letizia Bacchi Reggiani, Emanuela C. D'Angelo, Gabriele Ghetti, Matteo Bruno, Tullio Palmerini, Claudio Rapezzi, Nazzareno Galiè, Francesco Saia
      International Journal of Cardiology.2020; 309: 63.     CrossRef
    • Medications to reduce emergence coughing after general anaesthesia with tracheal intubation: a systematic review and network meta-analysis
      Alan Tung, Nicholas A. Fergusson, Nicole Ng, Vivien Hu, Colin Dormuth, Donald E.G. Griesdale
      British Journal of Anaesthesia.2020; 124(4): 480.     CrossRef
    • Comparison of Cardiovascular Events Among Users of Different Classes of Antihypertension Medications
      Jingkai Wei, Karla I. Galaviz, Alysse J. Kowalski, Matthew J. Magee, J. Sonya Haw, K. M. Venkat Narayan, Mohammed K. Ali
      JAMA Network Open.2020; 3(2): e1921618.     CrossRef
    • Topical Fluoride to Prevent Root Caries: Systematic Review with Network Meta-analysis
      J. Zhang, D. Sardana, K.Y. Li, K.C.M. Leung, E.C.M. Lo
      Journal of Dental Research.2020; 99(5): 506.     CrossRef
    • Comparative efficacy and acceptability of pharmacological interventions for the treatment and prevention of delirium: A systematic review and network meta-analysis
      Min Seo Kim, Hye Chang Rhim, Ariel Park, Hanna Kim, Kyu-Man Han, Ashwin A. Patkar, Chi-Un Pae, Changsu Han
      Journal of Psychiatric Research.2020; 125: 164.     CrossRef
    • Comparison of 5 Different PET Radiopharmaceuticals for the Detection of Recurrent Medullary Thyroid Carcinoma
      Sang-Woo Lee, Sung Ryul Shim, Shin Young Jeong, Seong-Jang Kim
      Clinical Nuclear Medicine.2020; 45(5): 341.     CrossRef
    • Comparative Efficacy of Targeted Therapies in Patients with Non-Small Cell Lung Cancer: A Network Meta-Analysis of Clinical Trials
      Tung Hoang, Seung-Kwon Myung, Thu Thi Pham, Jeongseon Kim, Woong Ju
      Journal of Clinical Medicine.2020; 9(4): 1063.     CrossRef
    • Interventions for treatment of COVID-19: a protocol for a living systematic review with network meta-analysis including individual patient data (The LIVING Project)
      Sophie Juul, Niklas Nielsen, Peter Bentzer, Areti Angeliki Veroniki, Lehana Thabane, Adam Linder, Sarah Klingenberg, Christian Gluud, Janus Christian Jakobsen
      Systematic Reviews.2020;[Epub]     CrossRef
    • How to Conduct a Bayesian Network Meta-Analysis
      Dapeng Hu, Annette M. O'Connor, Chong Wang, Jan M. Sargeant, Charlotte B. Winder
      Frontiers in Veterinary Science.2020;[Epub]     CrossRef
    • Comparative efficacy of antibiotic(s) alone or in combination of corticosteroids in adults with acute bacterial meningitis: A systematic review and network meta-analysis
      Ajaree Rayanakorn, Hooi-Leng Ser, Priyia Pusparajah, Kok-Gan Chan, Bey Hing Goh, Tahir Mehmood Khan, Surasak Saokaew, Shaun Wen Huey Lee, Learn-Han Lee, Ahmed Negida
      PLOS ONE.2020; 15(5): e0232947.     CrossRef
    • What Is the Most Appropriate Induction Regimen for the Treatment of HIV-Associated Cryptococcal Meningitis When the Recommended Regimen Is Not Available? Evidence From a Network Meta-Analysis
      Yao Li, Xiaojie Huang, Yuanyuan Qin, Hao Wu, Xiaofeng Yan, Yaokai Chen
      Frontiers in Pharmacology.2020;[Epub]     CrossRef
    • The effectiveness of different exercise modalities on sleep quality
      Peiye Cao, Ying Cai, Shifang Zhang, Qiaoqin Wan
      Medicine.2020; 99(29): e21169.     CrossRef
    • Pulmonary Recruitment Maneuver for Reducing Shoulder Pain after Laparoscopic Gynecologic Surgery: A Network Meta-Analysis of Randomized Controlled Trials
      Chumnan Kietpeerakool, Siwanon Rattanakanokchai, Aranya Yantapant, Ratchadaporn Roekyindee, Songphol Puttasiri, Marut Yanaranop, Jatupol Srisomboon
      Minimally Invasive Surgery.2020; 2020: 1.     CrossRef
    • Comparative Effect of Statins and Omega-3 Supplementation on Cardiovascular Events: Meta-Analysis and Network Meta-Analysis of 63 Randomized Controlled Trials Including 264,516 Participants
      Tung Hoang, Jeongseon Kim
      Nutrients.2020; 12(8): 2218.     CrossRef
    • A network meta-analysis
      Huiyan Luo, Wenjiang Zheng, Qian Yan, Boqing Wang, Baoqian Ye, Shicong Deng, Fan He, Xinqian Yang, Xiongwen Wang
      Medicine.2020; 99(31): e20500.     CrossRef
    • Association between genetic polymorphism and antidepressants in major depression: a network meta-analysis
      Dan Du, Qiong Tang, Qiong Han, Jin Zhang, Xuemei Liang, Youguo Tan, Kezhi Liu, Bo Xiang
      Pharmacogenomics.2020; 21(13): 963.     CrossRef
    • Delirium screening tools
      YuJuan Liu, Qian Zhang, Yayun Zhao, Zhuying Gao, Zhengyong Wei, Ziqi Guo, Meixi Chen, Qing Zhang, Xuemei Yang
      Medicine.2020; 99(35): e21595.     CrossRef
    • Treatments for alopecia areata: a network meta-analysis
      Monica Novoa-Candia, Guillermo Sánchez Vanegas, Ingrid Arevalo-Rodriguez, Sergio Vaño-Galván, Mayra Gizeth Urueña Rodriguez, Lucia Giraldo, David Saceda-Corralo, Aurelio Tobias, Jaqueline Tomlinson, Daniel Ortega-Quijano, Javier Zamora
      Cochrane Database of Systematic Reviews.2020;[Epub]     CrossRef
    • The relative effectiveness of different types of exercise for people with Mild Cognitive Impairment or dementia: Systematic review protocol
      Xiaoyan Zhao, Xiuxiu Huang, Bei Li, Ying Cai, Peiye Cao, Qiaoqin Wan
      Journal of Advanced Nursing.2020; 76(12): 3662.     CrossRef
    • Comparison of Antifungal Prophylaxis Drugs in Patients With Hematological Disease or Undergoing Hematopoietic Stem Cell Transplantation
      Jing Wang, Min Zhou, Jing-Yan Xu, Rong-Fu Zhou, Bing Chen, Yuan Wan
      JAMA Network Open.2020; 3(10): e2017652.     CrossRef
    • Effectiveness of remineralizing agents in the prevention and reversal of orthodontically induced white spot lesions: a systematic review and network meta-analysis
      Huimin Hu, Chong Feng, Zhaowei Jiang, Lufei Wang, Sonu Shrestha, Jiarong Yan, Yu Shu, Long Ge, Wenli Lai, Fang Hua, Hu Long
      Clinical Oral Investigations.2020; 24(12): 4153.     CrossRef
    • Which specific modes of exercise training are most effective for treating low back pain? Network meta-analysis
      Patrick J Owen, Clint T Miller, Niamh L Mundell, Simone J J M Verswijveren, Scott D Tagliaferri, Helena Brisby, Steven J Bowe, Daniel L Belavy
      British Journal of Sports Medicine.2020; 54(21): 1279.     CrossRef
    • All-Cause Mortality and Cardiovascular Death between Statins and Omega-3 Supplementation: A Meta-Analysis and Network Meta-Analysis from 55 Randomized Controlled Trials
      Jeongseon Kim, Tung Hoang, Ji-Myung Kim, So Young Bu, Jeong-Hwa Choi, Eunju Park, Seung-Min Lee, Eunmi Park, Ji Yeon Min, In Seok Lee, So Young Youn, Jee-Young Yeon
      Nutrients.2020; 12(10): 3203.     CrossRef
    • Meta-analysis of predictive symptoms for Ebola virus disease
      Vageesh Jain, Andre Charlett, Colin S. Brown, Abdallah M. Samy
      PLOS Neglected Tropical Diseases.2020; 14(10): e0008799.     CrossRef
    • Comparative Efficacy of Chinese Herbal Injections Combined with Paclitaxel Plus Cisplatin for Non-Small-Cell Lung Cancer: A Multidimensional Bayesian Network Meta-Analysis
      Mengwei Ni, Haojia Wang, Miaomiao Wang, Wei Zhou, Jiarui Wu, Bin Sun, Qianqian Zhang, Xiaotian Fan, Dan Zhang, Zhiwei Jing, Jingyuan Zhang, Xinkui Liu, Shuyu Liu, Ziqi Meng, Siyu Guo, Shanshan Jia, Xiaomeng Zhang, Xiaoguang Sheng, Young-Jin Son
      Evidence-Based Complementary and Alternative Medicine.2020; 2020: 1.     CrossRef
    • A Systematic Review and Meta-analysis of Clinical Trials of Neuraxial, Intravenous, and Inhalational Anesthesia for External Cephalic Version
      Qingzhong Hao, Yirui Hu, Li Zhang, John Ross, Sarah Robishaw, Christine Noble, Xianren Wu, Xiaopeng Zhang
      Anesthesia & Analgesia.2020; 131(6): 1800.     CrossRef
    • Comparative effectiveness of breathing exercises in patients with chronic obstructive pulmonary disease
      Nicola Marotta, Andrea Demeco, Lucrezia Moggio, Cinzia Marinaro, Ilaria Pino, Marianna Barletta, Annalisa Petraroli, Davide Pepe, Francesco Lavano, Antonio Ammendolia
      Complementary Therapies in Clinical Practice.2020; 41: 101260.     CrossRef
    • Prevalence of benign pathology after partial nephrectomy for suspected renal tumor: A systematic review and meta-analysis
      Jae Heon Kim, Sung Ryul Shim, Hyun Young Lee, Jae Joon Park, Yash S. Khandwala, In Gab Jeong, Benjamin I. Chung
      International Journal of Surgery.2020; 84: 161.     CrossRef
    • Vaccines to prevent COVID-19: a protocol for a living systematic review with network meta-analysis including individual patient data (The LIVING VACCINE Project)
      Steven Kwasi Korang, Sophie Juul, Emil Eik Nielsen, Joshua Feinberg, Faiza Siddiqui, Giok Ong, Sarah Klingenberg, Areti Angeliki Veroniki, Fanlong Bu, Lehana Thabane, Allan Randrup Thomsen, Janus C. Jakobsen, Christian Gluud
      Systematic Reviews.2020;[Epub]     CrossRef
    • Target Lesion Failure With Current Drug-Eluting Stents
      Nevio Taglieri, Antonio G. Bruno, Gabriele Ghetti, Cinzia Marrozzini, Francesco Saia, Nazzareno Galié, Tullio Palmerini
      JACC: Cardiovascular Interventions.2020; 13(24): 2868.     CrossRef
    • Which psychotherapy is effective in panic disorder? And which delivery formats are supported by the evidence? Study protocol for two systematic reviews and network meta-analyses
      Davide Papola, Giovanni Ostuzzi, Chiara Gastaldon, Marianna Purgato, Cinzia Del Giovane, Alessandro Pompoli, Eirini Karyotaki, Marit Sijbrandij, Toshi A Furukawa, Pim Cuijpers, Corrado Barbui
      BMJ Open.2020; 10(12): e038909.     CrossRef
    • Comparative efficacy and safety of pharmacological interventions for the treatment of COVID-19: A systematic review and network meta-analysis
      Min Seo Kim, Min Ho An, Won Jun Kim, Tae-Ho Hwang, Mirjam E. E. Kretzschmar
      PLOS Medicine.2020; 17(12): e1003501.     CrossRef
    • Comparative effectiveness of different therapies for treating striae distensae
      Haishan Lu, Jian Guo, Xudong Hong, Aifen Chen, Xudong Zhang, Shengxian Shen
      Medicine.2020; 99(39): e22256.     CrossRef
    • Impact of calcium, vitamin D, vitamin K, oestrogen, isoflavone and exercise on bone mineral density for osteoporosis prevention in postmenopausal women: a network meta-analysis
      Zijun Xu, Huwen Wang, Yue Shi, Qiuming Shen, Lhakpa Tsamlag, Zezhou Wang, Shoukai Yu, Tian Shen, Ying Wang, Yong Cai
      British Journal of Nutrition.2020; 123(1): 84.     CrossRef
    • The Optimal Chinese Herbal Injections for Use With Radiotherapy to Treat Esophageal Cancer: A Systematic Review and Bayesian Network Meta-Analysis
      Dan Zhang, Mengwei Ni, Jiarui Wu, Shuyu Liu, Ziqi Meng, Jinhui Tian, Xiaomeng Zhang, Bing Zhang
      Frontiers in Pharmacology.2019;[Epub]     CrossRef
    • Assessment of Reported Comparative Effectiveness and Safety of Atypical Antipsychotics in the Treatment of Behavioral and Psychological Symptoms of Dementia
      Ismaeel Yunusa, Adnan Alsumali, Asabe E. Garba, Quentin R. Regestein, Tewodros Eguale
      JAMA Network Open.2019; 2(3): e190828.     CrossRef
    • Network meta-analysis: application and practice using R software
      Sung Ryul Shim, Seong-Jang Kim, Jonghoo Lee, Gerta Rücker
      Epidemiology and Health.2019; 41: e2019013.     CrossRef
    • Counting What Counts: The Case for Harmonized Outcomes in Child and Youth Mental Health Research
      Peter Szatmari, Martin Offringa, Nancy J. Butcher, Suneeta Monga
      Journal of the American Academy of Child & Adolescent Psychiatry.2019; 58(7): 656.     CrossRef
    • A Bayesian Network Meta-Analysis for Identifying the Optimal Taxane-Based Chemotherapy Regimens for Treating Gastric Cancer
      Dan Zhang, Jia-Rui Wu, Xiao-Jiao Duan, Kai-Huan Wang, Yi Zhao, Meng-Wei Ni, Shu-Yu Liu, Xiao-Meng Zhang, Bing Zhang
      Frontiers in Pharmacology.2019;[Epub]     CrossRef
    • Prevention of Stroke in Atrial Fibrillation After Coronary Stenting
      Leonardo Knijnik, Manuel Rivera, Vanessa Blumer, Rhanderson Cardoso, Amanda Fernandes, Gilson Fernandes, Tanira Ferreira, Jose G. Romano, Litsa K. Lambrakos, Mauricio G. Cohen
      Stroke.2019; 50(8): 2125.     CrossRef
    • Comparative Effectiveness of Combining MTX with Biologic Drug Therapy Versus Either MTX or Biologics Alone for Early Rheumatoid Arthritis in Adults: a Systematic Review and Network Meta-analysis
      Katrina E. Donahue, Elizabeth R. Schulman, Gerald Gartlehner, Beth L. Jonas, Emmanuel Coker-Schwimmer, Sheila V. Patel, Rachel Palmieri Weber, Carla M. Bann, Meera Viswanathan
      Journal of General Internal Medicine.2019; 34(10): 2232.     CrossRef
    • Therapeutic Approaches for Volumetric Muscle Loss Injury: A Systematic Review and Meta-Analysis
      Sarah M. Greising, Benjamin T. Corona, Christopher McGann, Jeremy K. Frankum, Gordon L. Warren
      Tissue Engineering Part B: Reviews.2019; 25(6): 510.     CrossRef
    • Optimal interval to surgery after chemoradiotherapy in rectal cancer
      Ya Jing Chen, Zhen-Jie Zhao, Bang Wei Wang, Guang Zhuang Jing, Hai-Kun Ma, Xuemei Han, Jiancheng Wang, Zhen-Jie Zhao
      Medicine.2019; 98(45): e17669.     CrossRef
    • The treatment modalities of masticatory muscle pain a network meta-analysis
      Jie Feng, Mengqi Luo, Jianbin Ma, Ye Tian, Xianglong Han, Ding Bai
      Medicine.2019; 98(46): e17934.     CrossRef
    • Efficacy of antimalarial drugs for treatment of uncomplicated falciparum malaria in Asian region: A network meta-analysis
      Cho Naing, Maxine A. Whittaker, Norah Htet Htet, Saint Nway Aye, Joon Wah Mak, Gordon Langsley
      PLOS ONE.2019; 14(12): e0225882.     CrossRef
    • Effectiveness of remineralising agents in prevention and treatment of orthodontically induced white spot lesions: a protocol for a systematic review incorporating network meta-analysis
      Huimin Hu, Chong Feng, Zhaowei Jiang, Lufei Wang, Sonu Shrestha, Xiaoming Su, Yu Shu, Long Ge, Wenli Lai, Fang Hua, Hu Long
      Systematic Reviews.2019;[Epub]     CrossRef
    • No differences in the efficacy among various core decompression modalities and non-operative treatment: a network meta-analysis
      Byung-Ho Yoon, Young-Kyun Lee, Ki-Choul Kim, Yong-Chan Ha, Kyung-Hoi Koo
      International Orthopaedics.2018; 42(12): 2737.     CrossRef
    • Comparative efficacy of bevacizumab, ranibizumab, and aflibercept for treatment of macular edema secondary to retinal vein occlusion: a systematic review and network meta-analysis
      Sermsiri Sangroongruangsri, Tanapat Ratanapakorn, Olivia Wu, Thunyarat Anothaisintawee, Usa Chaikledkaew
      Expert Review of Clinical Pharmacology.2018; 11(9): 903.     CrossRef
    • Therapeutic options for aromatase inhibitor-associated arthralgia in breast cancer survivors: A systematic review of systematic reviews, evidence mapping, and network meta-analysis
      Tae-Hun Kim, Jung Won Kang, Tae Hee Lee
      Maturitas.2018; 118: 29.     CrossRef
    • Comparative effectiveness of anti-viral drugs with dual activity for treating hepatitis B and HIV co-infected patients: a network meta-analysis
      Cho Naing, Yong Poovorawan, Kew Siang Tong
      BMC Infectious Diseases.2018;[Epub]     CrossRef


    Epidemiol Health : Epidemiology and Health