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Network meta-analysis: application and practice using R software
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The objective of this study is to describe the general approaches to network meta-analysis that are available for quantitative data synthesis using R software. We conducted a network meta-analysis using two approaches: Bayesian and frequentist methods. The corresponding R packages were "gemtc" for the Bayesian approach and "netmeta" for the frequentist approach. In estimating a network meta-analysis model using a Bayesian framework, the "rjags" package is a common tool. "rjags" implements Markov chain Monte Carlo simulation with a graphical output. The estimated overall effect sizes, test for heterogeneity, moderator effects, and publication bias were reported using R software. The authors focus on two flexible models, Bayesian and frequentist, to determine overall effect sizes in network meta-analysis. This study focused on the practical methods of network meta-analysis rather than theoretical concepts, making the material easy to understand for Korean researchers who did not major in statistics. The authors hope that this study will help many Korean researchers to perform network meta-analyses and conduct related research more easily with R software.
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“The network meta-analysis was performed following the current Preferred Reporting Items for Systematic Reviews and Meta-Analyses guideline items (26,27): 1) a network geometry was created to explore the comparisons between resistance training loads; 2) transitivity was tested by fitting a network inconsistency assumption along with Q test and side-splitting analyses between indirect and direct”
From Resistance training load effects on muscle hypertrophy and strength gain: systematic review and network meta-analysis. (2021) · cites this paper as [27]
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White, I. R. (2015) · The Stata Journal Promoting communications on statistics and Stata · doi:10.1177/1536867x1501500403 · Cited by 789
Assessing Evidence Inconsistency in Mixed Treatment Comparisons
Lu, G., & Ades, A. E. (2006) · Journal of the American Statistical Association · doi:10.1198/016214505000001302 · Cited by 756
Network meta‐analysis, electrical networks and graph theory
Rücker, G. (2012) · Research Synthesis Methods · doi:10.1002/jrsm.1058 · Cited by 730
Self-citationNetwork meta-analysis: application and practice using Stata
Shim, S., Yoon, B.-H., Shin, I.-S., & Bae, J.-M. (2017) · Epidemiology and Health · doi:10.4178/epih.e2017047 · Cited by 656
Self-citationNikolakopoulou, A., White, I. R., & Salanti, G. (2020) · Chapman & Hall/CRC eBooks · doi:10.1201/9781315119403-10 · Cited by 308
Rücker, G., & Schwarzer, G. (2014) · Statistics in Medicine · doi:10.1002/sim.6236 · Cited by 219
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Huang, X., Zhao, X., Li, B., Cai, Y., Zhang, S., Wan, Q., & Yu, F. (2021) · Journal of sport and health science/Journal of Sport and Health Science · doi:10.1016/j.jshs.2021.05.003 · Cited by 421
LOPEZ, P., RADAELLI, R., TAAFFE, D. R., NEWTON, R. U., GALVÃO, D. A., TRAJANO, G. S., TEODORO, J. L., KRAEMER, W. J., HÄKKINEN, K., & PINTO, R. S. (2021) · Medicine & Science in Sports & Exercise · doi:10.1249/mss.0000000000002585 · Cited by 340
Tsapas, A., Karagiannis, T., Kakotrichi, P., Avgerinos, I., Mantsiou, C., Tousinas, G., Manolopoulos, A., Liakos, A., Malandris, K., Matthews, D. R., et al. (2021) · Diabetes, Obesity and Metabolism · doi:10.1111/dom.14451 · Cited by 179
Ostuzzi, G., Bertolini, F., Tedeschi, F., Vita, G., Brambilla, P., Fabro, L. D., Gastaldon, C., Papola, D., Purgato, M., Nosari, G., et al. (2022) · World Psychiatry · doi:10.1002/wps.20972 · Cited by 136
Laukhtina, E., Shim, S. R., Mori, K., D’Andrea, D., Soria, F., Rajwa, P., Mostafaei, H., Compérat, É., Cimadamore, A., Moschini, M., et al. (2021) · European Urology Oncology · doi:10.1016/j.euo.2021.10.003 · Cited by 122
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Zhang, Y.-S., Zheng, Y.-D., Yuan, Y., Chen, S.-C., & Xie, B.-C. (2021) · Frontiers in Endocrinology · doi:10.3389/fendo.2021.735824 · Cited by 117
Ramaswamy, V. V., Bandyopadhyay, T., Nanda, D., Bandiya, P., Ahmed, J., Garg, A., Roehr, C. C., & Nangia, S. (2021) · Archives of Pediatrics and Adolescent Medicine · doi:10.1001/jamapediatrics.2020.6826 · Cited by 114
Yanagisawa, T., Rajwa, P., Thibault, C., Gandaglia, G., Mori, K., Kawada, T., Fukuokaya, W., Shim, S. R., Mostafaei, H., Motlagh, R. S., et al. (2022) · European Urology · doi:10.1016/j.eururo.2022.08.002 · Cited by 109
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Lam, W. C., Li, H. J., Guo, J., Yao, L., Chau, J. P. C., Lo, S. H. S., Yuen, C. S., Ng, B. F. L., Yu, E. C.-L., Bian, Z., et al. (2023) · BMC Psychiatry · doi:10.1186/s12888-023-04749-1 · Cited by 110
Ramaswamy, V. V., More, K., Roehr, C. C., Bandiya, P., & Nangia, S. (2020) · Pediatric Pulmonology · doi:10.1002/ppul.25011 · Cited by 105
Chambrone, L., Botelho, J., Machado, V., Mascarenhas, P., Mendes, J. J., & Ávila‐Ortiz, G. (2022) · Journal of Periodontology · doi:10.1002/jper.22-0167 · Cited by 103
Eshun-Wilson, I., Jamil, M. S., Witzel, T. C., Glidded, D. V., Johnson, C., Le Trouneau, N., Ford, N., McGee, K., Kemp, C., Baral, S., et al. (2021) · Clinical Infectious Diseases · doi:10.1093/cid/ciab029 · Cited by 81
Molfetta, S. D., Gioia, L. D., Caruso, I., Cignarelli, A., Green, S. C., Natale, P., Strippoli, G. F., Sorice, G. P., Perrini, S., Natalicchio, A., et al. (2024) · Diabetes/Metabolism Research and Reviews · doi:10.1002/dmrr.3842 · Cited by 88
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Yang, Y., Wang, G., Zhang, S., Wang, H., Zhou, W.-S., Ren, F.-F., Liang, H., Wu, D., Ji, X., Hashimoto, M., et al. (2022) · BMC Geriatrics · doi:10.1186/s12877-022-03510-9 · Cited by 86
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Everard, G. J., Declerck, L., Detrembleur, C., LEONARD, S., BOWER, G., Dehem, S., & Lejeune, T. M. (2022) · European Journal of Physical and Rehabilitation Medicine · doi:10.23736/s1973-9087.22.07404-4 · Cited by 57
Seow, W., Dudi-Venkata, N. N., Bedrikovetski, S., Kroon, H. M., & Sammour, T. (2022) · Techniques in Coloproctology · doi:10.1007/s10151-022-02739-1 · Cited by 59
Lee, S., Shim, S. R., Jeong, S. Y., & Kim, S. (2020) · Clinical Nuclear Medicine · doi:10.1097/rlu.0000000000002940 · Cited by 55
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Li, Z., Zhu, G., Li, C., Lai, H., Liu, X., & Zhang, L. (2021) · Nutrients · doi:10.3390/nu13124319 · Cited by 55
Zhang, Z., Zhang, Q., Tan, Y., Chen, Y., Zhou, X., Liu, S., & Yu, J. (2023) · Frontiers in Endocrinology · doi:10.3389/fendo.2023.1149328 · Cited by 46
Buonerba, C., Dolce, P., Iaccarino, S., Scafuri, L., Verde, A., Costabile, F., Pagliuca, M., Morra, R. P., Riccio, V., Ribera, D., et al. (2020) · Cancers · doi:10.3390/cancers12020408 · Cited by 46
Gao, Q., Xie, Y.-J., Chen, Y., Tan, H., Guo, Q., & Lau, B. W.-M. (2020) · Neural Regeneration Research · doi:10.4103/1673-5374.300341 · Cited by 51
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Lombardi, P., Filetti, M., Falcone, R., Bidino, R. D., Iacovelli, R., Ciccarese, C., Bria, E., Tortora, G., Scambia, G., & Daniele, G. (2022) · Cancer Treatment Reviews · doi:10.1016/j.ctrv.2022.102377 · Cited by 43
Liao, C.-D., Huang, S.-W., Chen, H.-C., Huang, M.-H., Liou, T.-H., & Lin, C.-L. (2024) · Nutrients · doi:10.3390/nu16070941 · Cited by 45
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Tsai, S., Ding, Y., Shih, M., & Tu, Y. (2020) · Journal Of Clinical Periodontology · doi:10.1111/jcpe.13338 · Cited by 40
Lin, F., Wu, D., Yu, J., Weng, H., Chen, L., Meng, F., Chen, Y., Ye, Q., & Cai, G. (2021) · Journal of Neurology Neurosurgery & Psychiatry · doi:10.1136/jnnp-2020-323656 · Cited by 37
Jo, Y., Park, S., Oh, C., Pak, Y., Jeong, K., Yun, S., Noh, C., Chung, W., Kim, Y. H., Ko, Y., et al. (2021) · Korean Journal of Anesthesiology · doi:10.4097/kja.21330 · Cited by 37
Weng, Y., Zhang, J., & Chen, Z. (2024) · BMC Pediatrics · doi:10.1186/s12887-023-04488-y · Cited by 36
Liao, C., Chen, H., Huang, M., Liou, T., Lin, C.-L., & Huang, S. (2023) · International Journal of Molecular Sciences · doi:10.3390/ijms24076078 · Cited by 41
Chen, Y. C., Chen, W.-C., Liu, C.-W., Huang, W.-Y., Lu, I., Lin, C. W., Huang, R. Y., Chen, J. S., & Huang, C. H. (2023) · European Review of Aging and Physical Activity · doi:10.1186/s11556-023-00333-4 · Cited by 34
Gerstl, J. V. E., Rendón, L. F., Burke, S. M., Doucette, J. A., Mekary, R. A., & Smith, T. R. (2022) · Acta Neurochirurgica · doi:10.1007/s00701-022-05251-5 · Cited by 33
López, P., Rech, A., Πετροπούλου, Μ., Newton, R. U., Taaffe, D. R., Galvao, D. A., Turella, D. J. P., Freitas, S. R., & Radaelli, R. (2022) · The Journals of Gerontology Series A · doi:10.1093/gerona/glac230 · Cited by 37
Rajwa, P., Pradère, B., Gandaglia, G., van den Bergh, R. C. N., Tsaur, I., Shim, S. R., Yanagisawa, T., Laukhtina, E., Mori, K., Mostafaei, H., et al. (2022) · European Urology · doi:10.1016/j.eururo.2022.03.031 · Cited by 33
Self-citationZhang, K., Wang, L., Zhang, Z.-H., Zhang, D., Lin, X., Meng, T., & Qi, F. (2022) · Journal of Pain Research · doi:10.2147/jpr.s384215 · Cited by 32
Bontinis, V., Bontinis, A., Koutsoumpelis, A., Chorti, A. G., Rafailidis, V. D., Giannopoulos, A., & Ktenidis, K. (2023) · Journal of Vascular Surgery Venous and Lymphatic Disorders · doi:10.1016/j.jvsv.2023.03.011 · Cited by 33
Hong, B., Bang, S., Oh, C., Park, E., & Park, S. (2021) · Journal of Anesthesia · doi:10.1007/s00540-021-02923-x · Cited by 31
Márta, K., Gede, N., Szakács, Z., Solymár, M., Hegyi, P., Tél, B., Erőss, B. M., Vincze, Á., Arvanitakis, M., Boškoski, I., et al. (2021) · Pancreatology · doi:10.1016/j.pan.2021.07.005 · Cited by 31
Zhu, Z., Zeng, Q., Liu, Q., Wen, J., & Chen, G. (2022) · JAMA Network Open · doi:10.1001/jamanetworkopen.2022.44652 · Cited by 31
Radaelli, R., Rech, A., Molinari, T., Markarian, A. M., Πετροπούλου, Μ., Granacher, U., Hortobágyi, T., & López, P. (2024) · Sports Medicine · doi:10.1007/s40279-024-02123-z · Cited by 37
Garcia, S. P., Cureau, F. V., Iorra, F. D. Q., Bottino, L. G., Monteiro, L. E. R. C., Leivas, G., Umpierre, D., & Schaan, B. D. (2025) · Diabetes Research and Clinical Practice · doi:10.1016/j.diabres.2025.112027 · Cited by 41
Boppre, G., Diniz‐Sousa, F., Veras, L., de Oliveira, J. J. F., & Fonseca, H. (2021) · Obesity Science & Practice · doi:10.1002/osp4.542 · Cited by 32
Zang, W., Fang, M., He, H., Mu, L., Zheng, X., Shu, H., Ge, N., & Wang, S. (2022) · Frontiers in Public Health · doi:10.3389/fpubh.2022.1040704 · Cited by 32
Kudiarasu, C., López, P., Galvao, D. A., Newton, R. U., Taaffe, D. R., Mansell, L., Fleay, B., Saunders, C. M., Fox‐Harding, C., & Singh, F. (2023) · Cancer · doi:10.1002/cncr.35043 · Cited by 33
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Qian, Y., Fu, X., Zhang, H., Yang, Y., & Wang, G. (2023) · BMC Geriatrics · doi:10.1186/s12877-023-04239-9 · Cited by 71
Matsukawa, A., Yanagisawa, T., Parizi, M. K., Laukhtina, E., Klemm, J., Fazekas, T., Mori, K., Kimura, S., Briganti, A., Ploussard, G., et al. (2024) · Prostate Cancer and Prostatic Diseases · doi:10.1038/s41391-024-00886-0 · Cited by 29
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Self-citationWang, M., Chen, H., Yang, F., Xu, X., & Li, J. (2023) · Journal of Affective Disorders · doi:10.1016/j.jad.2023.06.057 · Cited by 25
Vita, G., Nöhles, V. B., Ostuzzi, G., Barbui, C., Tedeschi, F., Heuer, F. H., Keller, A., DelBello, M. P., Welge, J. A., Blom, T. J., et al. (2024) · Journal of the American Academy of Child & Adolescent Psychiatry · doi:10.1016/j.jaac.2024.07.920 · Cited by 29
Kiefer, C., Sturtz, S., & Bender, R. (2020) · BMC Medical Research Methodology · doi:10.1186/s12874-020-0917-3 · Cited by 25
Chen, J., Zhang, Y., Zhang, X., Zhao, J., Ni, Y., Zhu, S., He, B., Dai, J., Wang, Z., Wang, Z., et al. (2022) · Frontiers in Pharmacology · doi:10.3389/fphar.2021.789319 · Cited by 25
Xia, Y., Yuxiang, X., Li, Y., Lu, Y., & Wang, Z. (2022) · Frontiers in Neurology · doi:10.3389/fneur.2022.918786 · Cited by 26
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Yoosuf, B. T., Panda, A. K., Muhammed Favas, K. T., Bharti, S. K., Devana, S. K., & Bansal, D. (2024) · Scientific Reports · doi:10.1038/s41598-024-61977-5 · Cited by 25
Wu, Z., Yin, Z., & Zhang, X. (2024) · Journal of Orthopaedic Surgery and Research · doi:10.1186/s13018-024-05279-6 · Cited by 24
Gao, T., Shan, J.-H., Yang, Y., Zhang, Z., Liu, S., Xi, M., Liu, M., & Zhao, L. (2022) · BMC Cancer · doi:10.1186/s12885-022-10086-5 · Cited by 24
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Self-citationMatsukawa, A., Litterio, G., Cormio, A., Miszczyk, M., Parizi, M. K., Fazekas, T., Tsuboi, I., Mancon, S., Schulz, R. J., Laukhtina, E., et al. (2025) · Cancers · doi:10.3390/cancers17020205 · Cited by 22
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Yan, R., Cai, H., Cui, Y., Su, D., Cai, G., Lin, F., & Feng, T. (2022) · European Journal of Neurology · doi:10.1111/ene.15651 · Cited by 23
Feng, X., Zhao, L., Chen, Y., Wang, Z., Lu, H., & Wang, C. (2023) · Frontiers in Physiology · doi:10.3389/fphys.2023.1223037 · Cited by 26
López, P., Newton, R. U., Taaffe, D. R., Singh, F., Lyons‐Wall, P., Buffart, L. M., Tang, C., Hayne, D., & Galvao, D. A. (2021) · Medicine & Science in Sports & Exercise · doi:10.1249/mss.0000000000002843 · Cited by 22
Shang, L.-M., Hou, M., & Guo, F. (2022) · Annals of Pharmacotherapy · doi:10.1177/10600280221106622 · Cited by 21
Liu, X., Li, H., Yang, S., Xiao, Z., Li, Q., Zhang, F., & Ma, J. (2024) · International Journal of Geriatric Psychiatry · doi:10.1002/gps.6117 · Cited by 21
Jeon, J., Park, S. H., Choi, J., Han, S. M., Kim, H., Shim, S. R., & Hyun, J. K. (2024) · Acta Biomaterialia · doi:10.1016/j.actbio.2024.06.011 · Cited by 20
Self-citationDai, Y., Yu, Q., Zhang, F., Ma, K., Yan, X., Chen, W., Chen, X., Li, S., & Han, S. (2025) · BMC Pediatrics · doi:10.1186/s12887-025-05469-z · Cited by 20
Jiang, Y., Peng, H., Song, Y., Huang, L. K., Chen, H., Li, P., Yang, G., Song, Y., Chen, Q., & Yao, N. (2025) · PeerJ · doi:10.7717/peerj.19175 · Cited by 20
Moroni, F., Baldetti, L., Kabali, C., Briguori, C., Maioli, M., Toso, A., Brilakis, E. S., Gurm, H. S., Bagur, R., & Azzalini, L. (2021) · Journal of the American Heart Association · doi:10.1161/jaha.121.021342 · Cited by 20
Kwon, M., Cheong, M. J., Leem, J., & Kim, T. (2021) · Healthcare · doi:10.3390/healthcare9111502 · Cited by 22
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Gangwani, M. K., Aziz, M., Haghbin, H., Iqbal, A., Dillard, J. R., Dahiya, D. S., Ali, H., Hayat, U., Khuder, S., Lee‐Smith, W., et al. (2023) · Journal of Clinical Gastroenterology · doi:10.1097/mcg.0000000000001949 · Cited by 20
Yi, Y., Zhao, W., Lv, S., Zhang, G., Rong, Y., Wang, X., Yang, J., & Li, M. (2024) · General Hospital Psychiatry · doi:10.1016/j.genhosppsych.2024.07.011 · Cited by 22
Liu, H., Wu, M., Huang, H., Chen, X., Zeng, P., & Xu, Y. (2024) · Ageing Research Reviews · doi:10.1016/j.arr.2024.102508 · Cited by 21
Queiroz, I., Barbosa, L., Ruelas, M. G., Araújo, B., Defante, M. L. R., Tavares, A. H., de Mesquita, C. F., Pimentel, T., Mendes, B. X., Félix, I. F., et al. (2025) · Anaesthesia · doi:10.1111/anae.16757 · Cited by 19
Meng, R., Zhang, X., Zhou, T., Luo, M., & Qiu, Y. (2022) · Expert Review of Pharmacoeconomics & Outcomes Research · doi:10.1080/14737167.2022.2079498 · Cited by 19
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Fu, Z., Wang, Y., Zhao, L., Li, Y., & Song, Q. (2025) · Aging Clinical and Experimental Research · doi:10.1007/s40520-024-02920-6 · Cited by 18
Rodríguez‐Domínguez, Á., Rebollo‐Salas, M., Chillón‐Martínez, R., Rosales‐Tristancho, A., Villa-Del-Pino, I., & Jiménez‐Rejano, J. (2025) · Brazilian Journal of Physical Therapy · doi:10.1016/j.bjpt.2025.101226 · Cited by 18
Keun-young Kim, A., Shim, S. R., Lee, S., & Kim, S. (2021) · British Journal of Radiology · doi:10.1259/bjr.20201076 · Cited by 19
Self-citationQin, Z., Wang, Y., Zhu, J., Zhu, K., Li, R., Zhang, L., Meng, X., Xia, J., Wang, W. T., Qin, C., et al. (2019) · International Journal of Impotence Research · doi:10.1038/s41443-019-0146-7 · Cited by 18
Zeng, D., Ling, X.-Y., Fang, Z.-L., & Lu, Y.-F. (2023) · Geriatric Nursing · doi:10.1016/j.gerinurse.2023.06.005 · Cited by 16
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Metadata
- Authors
- Shim, S. R., Kim, S.-J., Lee, J., & Rücker, G.
- Affiliations
- Korea University (KR)
- Pusan National University Yangsan Hospital (KR)
- University of Freiburg (DE)
- Corresponding author
- Shim, Sung Ryul
- Venue
- Epidemiology and Health
- Publisher
- Korean Society of Epidemiology
- Published
- 2019-04-08
- Volume
- 41
- Pages
- e2019013
- ISSN
- 1225-3596 (ISSN-L)
- 2092-7193
- PMC
- PMC6635665
- OpenAlex
- W2939443580
- Cited by
- 483
- References
- 6
- Citations by year
- 2026: 58 · 2025: 97 · 2024: 104 · 2023: 69 · 2022: 85 · 2021: 49 · 2020: 20 · 2019: 1
- FWCI
- 25.93
- Type
- journal article
- Language
- en
- Open access
- diamond
- doi.org
- Licence
- cc-by
- Locations
- Epidemiology and Health (publishedVersion, cc-by)
- PubMed Central (publishedVersion, cc-by)
- PubMed (publishedVersion)
- DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
- Topics
- Social Sciences › Decision Sciences › Statistics, Probability and Uncertainty › Meta-analysis and systematic reviews
- Physical Sciences › Mathematics › Statistics and Probability › Statistical Methods and Bayesian Inference
- Physical Sciences › Mathematics › Statistics and Probability › Statistical Methods in Clinical Trials
- Keywords
- network meta-analysis, R software, Bayesian network meta-analysis, Markov chain Monte Carlo, heterogeneity, publication bias, moderator effects
- MeSH terms
- Humans, Research Design, Software, Meta-Analysis as Topic
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