The DOI matches its Crossref record; 67 of the 67 references it cites were found in a registry or an index.
netmeta : An R Package for Network Meta-Analysis Using Frequentist Methods
Open accessAbstract
Network meta-analysis compares different interventions for the same condition, by combining direct and indirect evidence derived from all eligible studies. Network metaanalysis has been increasingly used by applied scientists and it is a major research topic for methodologists. This article describes the R package netmeta, which adopts frequentist methods to fit network meta-analysis models. We provide a roadmap to perform network meta-analysis, along with an overview of the main functions of the package. We present three worked examples considering different types of outcomes and different data formats to facilitate researchers aiming to conduct network meta-analysis with netmeta.
Overview
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
In the citing paper
“Effects from small studies (potential publication bias) were assessed through visual inspection of contour-enhanced funnel plots and incorporated into assessments of the certainty of the evidence.36 47”
Citations
Cites
Quantifying heterogeneity in a meta‐analysis
Higgins, J. P. T., & Thompson, S. G. (2002) · Statistics in Medicine · doi:10.1002/sim.1186 · Cited by 36,763
Conducting Meta-Analyses in R with the metafor Package
Viechtbauer, W. (2010) · Journal of Statistical Software · doi:10.18637/jss.v036.i03 · Cited by 20,464
Cochrane Handbook for Systematic Reviews of Interventions
(2019) · doi:10.1002/9781119536604 · Cited by 14,828
Statistical Aspects of the Analysis of Data From Retrospective Studies of Disease
(1959) · JNCI: Journal of the National Cancer Institute · doi:10.1093/jnci/22.4.719 · Cited by 14,689
Hutton, B., Salanti, G., Caldwell, D. M., Chaimani, A., Schmid, C. H., Cameron, C., Ioannidis, J. P. A., Straus, S., Thorlund, K., Jansen, J. P., et al. (2015) · Annals of Internal Medicine · doi:10.7326/m14-2385 · Cited by 8,269
Self-citationHow to perform a meta-analysis with R: a practical tutorial
Balduzzi, S., Rücker, G., & Schwarzer, G. (2019) · Evidence Based Mental Health · doi:10.1136/ebmental-2019-300117 · Cited by 5,827
Self-citationSalanti, G., Ades, A. E., & Ioannidis, J. P. A. (2011) · Journal of Clinical Epidemiology · doi:10.1016/j.jclinepi.2010.03.016 · Cited by 3,766
Self-citationdplyr: A Grammar of Data Manipulation
Wickham, H., François, R., Henry, L., Müller, K., & Vaughan, D. (2014) · doi:10.32614/cran.package.dplyr · Cited by 3,555
An algorithm for drawing general undirected graphs
Kamada, T., & Kawai, S. (1989) · Information Processing Letters · doi:10.1016/0020-0190(89)90102-6 · Cited by 2,750
Checking consistency in mixed treatment comparison meta-analysis
Dias, S., Welton, N. J., Caldwell, D. M., & Ades, A. E. (2010) · Statistics in Medicine · doi:10.1002/sim.3767 · Cited by 2,521 · cited 3×
“A method to evaluate local inconsistency in each treatment comparison separately is by using the separate indirect from direct evidence (SIDE) method (Dias, Welton, Caldwell, and Ades 2010).”
Flagged first, then by citations
Cited by
Sorted by citations
Items 401–500 of 532
Abomohsen, M., Rifai, M. K., Elgendy, M. S., Alghzawi, H. M., Al‐Shammari, A. S., Idries, I. Y. M., Mojahedi, A., & Gunsburg, M. Y. (2026) · Thrombosis Research · doi:10.1016/j.thromres.2026.109630
Cognitive bias modification for social anxiety: a living systematic review and network meta-analysis
Kennett, J., Chiocchia, V., Friedrich, C., Blackwell, S. E., Carlbring, P., Furukawa, T. A., Siafis, S., Money, C., Tonia, T., Wright, S. L., et al. (2026) · Wellcome Open Research · doi:10.12688/wellcomeopenres.25609.1
Self-citationTreatment Efficacy for Functional Voice Disorders with Dysphonia: A Network Meta-analysis
Latoszek, B. B. V., Saeedi, S., Aghadoost, S., Hetjens, S., & Binkofski, F. (2026) · Journal of Voice · doi:10.1016/j.jvoice.2026.02.014
Taebi, M., Fallahtafti, P., Kakavand, N., Nematollahi, S., Daryabari, Y., Biering‐Sørensen, T., & Hosseini, K. (2026) · Heart Failure Reviews · doi:10.1007/s10741-026-10594-7
Spatiotemporal patterns of genetic diversity in the world’s coral reefsPreprint
Selmoni, O. M., & Schuman, M. C. (2026) · eLife · doi:10.5194/wbf2026-466
Yao, X., Pu, J., Fan, Y., Jiang, X., Zhao, H., Wang, Y., Ye, Y., Wei, Y., & Yang, L. (2026) · BMJ Open · doi:10.1136/bmjopen-2025-110995
Aydıngöz, S. E., Teimoori, A., & Koçak, M. (2026) · Journal of the Renin-Angiotensin-Aldosterone System · doi:10.1177/14703203261430477
Ranking of mechanical thromboprophylaxis methods in surgery: a network meta-analysis
Mikhailov, V. G. (2026) · Medical Technologies Assessment and Choice · doi:10.17116/medtech202648011143
Yue, W., & Ma, X. (2026) · Nurse Education Today · doi:10.1016/j.nedt.2026.107080
Huo, B., Yu, A., Bjelović, M., Tsokani, S., Sanger, S., Mavridis, D., Guyatt, G. H., & Antoniou, S. A. (2026) · Clinical and Public Health Guidelines · doi:10.1002/gin2.70067
Torbahn, G., Schoene, D., Ernst, I. G., Schwingshackl, L., Rücker, G., Knüttel, H., KEMMLER, W. K., Sieber, C. C., Batsis, J. A., Villareal, D. T., et al. (2026) · Obesity Reviews · doi:10.1111/obr.70123 · Cited by 3
Self-citationHypnotic‐Induced Fall Risk Upon Awakening: A Network Meta‐Analysis of Postural Stability Outcomes
Rossano, F., Caiazza, C., Toni, C., Sampogna, G., Vecchio, V. D., Palagini, L., & Fiorillo, A. (2026) · Journal of Sleep Research · doi:10.1111/jsr.70337
A novel approach for visualizing local consistency in network meta-analysis
Wilson, H., Schönstein, A., Robson, S., & Bonofiglio, F. (2026) · Research Synthesis Methods · doi:10.1017/rsm.2026.10082
Semnani, K., Semnani, F., Aarabi, S. S., Esmaeili, S., Taheri, E. M. F., Mahdavi‐Gorabi, A., Rajabnia, M., Djalalinia, S., Goodarzi, S., Kasaeian, A., et al. (2026) · BMJ Open · doi:10.1136/bmjopen-2025-111933
Abomohsen, M., Rifai, M. K., Gadelmawla, A. F., Alghzawi, H. M., Elgendy, M. S., Bakr, H. M., Friedman, A., & Idries, I. Y. M. (2026) · Canadian Journal of Diabetes · doi:10.1016/j.jcjd.2026.04.001
Dankoob, V., Shahinfar, H., Ostevari, A., Norouziasl, R., Mohieddin, N., Esmaeili, F., Rafiei, F., & Shab‐Bidar, S. (2026) · Diabetes Research and Clinical Practice · doi:10.1016/j.diabres.2026.113260
Liu, C., Deng, J., Abbas, A., Lameire, D. L., Khalik, H. A., Whelan, D. B., Dwyer, T., & Chahal, J. (2026) · Orthopaedic Journal of Sports Medicine · doi:10.1177/23259671261419519
Khalafi, M., Fatolahi, S., Fini, E. M., Aghaeinejad, M., Rosenkranz, S. K., Symonds, M. E., & Batrakoulis, A. (2026) · Scientific Reports · doi:10.1038/s41598-026-45519-9 · Cited by 1
Pereira, S. I. D. S., de Oliveira, I. B., Ferreira, M. H. L., Mert, A., Prado, M. L. D. L., LYRA, G. O. T., de Araújo, J. C., Xavier, D., de Aguiar, D. R., & Sherpa, N. N. (2026) · Asian Journal of Psychiatry · doi:10.1016/j.ajp.2026.104979
Koet, L. B. M., Türk, S., Korfmacher, A.-K., Molendijk, E., de Oude, K. I., Bindels, P., & Gerger, H. (2026) · International Journal of Sport and Exercise Psychology · doi:10.1080/1612197x.2026.2652879
Isaka, E., Suzuki, T., Yoshida, Y., Kuribayashi, N., Sakai, H., Sato, K., Ishigaki, Y., & Yuasa, H. (2026) · Oral Science International · doi:10.1002/osi2.70045
Frivaldszky, L., Obeidat, M., Hegyi, P., Kárpáti, C., Kobza, Z., Ács, N., Bánhidy, F. G., Agócs, G., Szentes, B. L., & Keszthelyi, M. (2026) · Nutrients · doi:10.3390/nu18081293 · Cited by 1
Li, X., Shao, R., Zhang, T., Fan, Y., Chen, X., & Feng, S. (2026) · International Journal of Antimicrobial Agents · doi:10.1016/j.ijantimicag.2026.107826
Marra, A., de Siena, A. U., Iacovazzo, C., Bianco, A. R., Squillacioti, F., Vargas, M., & Buonanno, P. (2026) · Archives of Physical Medicine and Rehabilitation · doi:10.1016/j.apmr.2026.04.026
Bernhard, C., Schlattmann, P., & Guntinas‐Lichius, O. (2026) · Frontiers in Surgery · doi:10.3389/fsurg.2026.1836835
Chen, X., Ding, Y., Liao, Y., Luo, X., Deng, T., Yang, D., Liu, J., & Huang, H. (2026) · Journal of Gynecologic Oncology · doi:10.3802/jgo.2026.37.e100
Wang, Y., Miguel, C., Ciharova, M., Amarnath, A., Lin, J., Zhao, R., Toffolo, M. B. J., Struijs, S., de Wit, L. D., & Cuijpers, P. (2026) · The British journal of psychiatry : the journal of mental science · doi:10.1192/bjp.2026.10651
Shehata, M. S. A., Mohammed, H. E., Arafeh, Y., Bady, Z. A. M., Haseeb, M. E., Nasser, M., Mostafa, H. A., Ali, H. T., Abdelmonsef, E. S., & Hamed, S. H. (2026) · The Egyptian Journal of Neurology Psychiatry and Neurosurgery · doi:10.1186/s41983-026-01170-9
Deb, S. S., Limbu, B., López-López, J. A., Roy, M., Murugan, M., Roy, A., Brizard, B. A., & Santambrogio, J. (2026) · medRxiv · doi:10.64898/2026.05.11.26352928
Bazie, Z., Alemu, E., Amare, T., Kerebeh, B., Tenagn, A., Awoke, A., Ambaw, Z., Adise, Z., Alemayehu, B., Abewa, A., et al. (2026) · Discover Soil. · doi:10.1007/s44378-026-00228-7
Lai, L., Liu, Y., Axelsson, E., Tyrer, P., Li, Y., Lu, Y., Shi, C., & Ren, Z. (2026) · The British Journal of Psychiatry · doi:10.1192/bjp.2026.10647
Liu, Y., Li, C., & Yang, F. (2026) · BMC Sports Science Medicine and Rehabilitation · doi:10.1186/s13102-026-01743-4
Hasan, F., Yan, J., Chiu, H., Fu, K.-H., Yuliana, L. T., & Chen, P. K.-T. (2026) · F1000Research · doi:10.12688/f1000research.179142.1
Peluso, A., Osorio, J. R., Kazanis, W. H., Robinson, A., Martins, S. B., Cook, H., Callaway, K., Schaefferkoetter, N., McCarthy, J. F., Oliva, E. M., et al. (2026) · BMJ Mental Health · doi:10.1136/bmjment-2025-302338
Veettil, I. N. K., Jamandlamudi, A., Khader, N. A., Shehu, T., Laçej, D., Jha, S., Mayowa, O., Zumba, J., Ismailov, T., Almaganbetova, Z., et al. (2026) · Journal of Cardiothoracic Surgery · doi:10.1186/s13019-026-04265-9
Zhao, W., Wu, Z. Y., Qiao, S., Kou, Q., Liu, Z., & Zhang, X. (2026) · Frontiers in Pharmacology · doi:10.3389/fphar.2026.1837089
Aldian, F. M., Sembiring, Y. E., Visuddho, V., Witarto, B. S., Hartanto, J. O., Witarto, A. P., & Dillon, J. J. (2026) · Journal of Vascular Surgery Venous and Lymphatic Disorders · doi:10.1016/j.jvsv.2026.102553
Colaert-Sentenac, L., Planchet, É., Abadie, C., Lalande-Martin, J., Hamdy, S., Marais, C., Dupont, A., Corre, L. L., Koutouan, C.-E., Wagner, M.-H., et al. (2026) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.64898/2026.06.16.732447
Guo, Y., Mei, Y., Bongaerts, B. W. C., Metzendorf, M., Fullerton, B., Siebenhofer, A., Jeitler, K., Horvath, K., Semlitsch, T., Berghold, A., et al. (2026) · Cochrane Database of Systematic Reviews · doi:10.1002/14651858.cd012161.pub2
Couto, N., Jacinto, M., Antunes, R., Monteiro, D., Brito, J. P., & Bento, T. (2026) · doi:10.2196/preprints.105113
Fornaro, M., Lorenzo, C. D., Oliva, V., Prisco, M. D., & Vieta, E. (2026) · Journal of Affective Disorders · doi:10.1016/j.jad.2026.122160
Cheng, H., zeng, L., Li, X. B., Ke, Q., Sun, J., Guo, B., Tan, X., Cen, H., & Liao, C. (2026) · Frontiers in Immunology · doi:10.3389/fimmu.2026.1832980
Sun, P., Wu, J., Cai, D., Lv, T., Jin, Y., Tang, H., Li, F., & Hu, H. (2026) · EClinicalMedicine · doi:10.1016/j.eclinm.2026.104037
López, P., Petropoulou, D. M., Radaelli, R., Silveira, C. B., Molinari, T., Muller, C. T., Casara, P., Bettariga, F., Singh, F., Buffart, L. M., et al. (2026) · British Journal of Sports Medicine · doi:10.1136/bjsports-2025-111276 · Cited by 1
Wu, Y., Di, Y., Wang, H. W., Wang, L., Zhang, J., Zhang, Y., & Lyu, D. (2026) · Ageing Research Reviews · doi:10.1016/j.arr.2026.103216
Ding, H., Jiang, L., Lee, D., & Chun, B. (2026) · Journal of sport and health science/Journal of Sport and Health Science · doi:10.1016/j.jshs.2026.101153
Ouranos, K., Michael, M., Mylona, E. K., Mylonakis, S. C., Guruswamy, A., Shehadeh, F., Motazedi, T., & Huston, D. P. (2026) · Journal of Allergy and Clinical Immunology · doi:10.1016/j.jaci.2026.06.016
Pangenome-based human genome analysis improves trait association and genomic predictionPreprint
Lu, S., Liao, W., DeGorter, M. K., Goddard, P. C., Ebler, J., Lu, T.-Y. T., Chaisson, M., Marschall, T., Montgomery, S. B., Stitziel, N. O., et al. (2026) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.64898/2026.07.01.735728 · Cited by 1
Nikitara, K., Kontogianni, M. D., Haidich, A., & Bountziouka, V. (2026) · European Journal of Nutrition · doi:10.1007/s00394-026-04028-1
Wahyuni, S., Hafizah, I., Haq, H. A., Abdullah, B. N., Albab, A. F., Elizabeth, E., Fajariatussamsiah, L. F., & Murtiani, F. (2026) · Biomedical & Pharmacology Journal · doi:10.13005/bpj/3470
Conduction‐System Versus Biventricular Pacing for CRT in HFrEF: Pairwise and Network Meta‐Analysis
Abomohsen, M., Rifai, M. K., Mojahedi, A., Bakr, H. M., Alkuwaiti, M. A., Elgendy, M. S., Ibrahim, A., Sabeha, M. A., Salman, A. M., Idries, I. Y., et al. (2026) · Pacing and Clinical Electrophysiology · doi:10.1111/pace.70357
Zhang, X., Liu, L., Yan, Y., Zhang, Z.-L., Le, K.-J., Liu, Y., Ni, X.-J., Lu, L., Zhou, G.-H., Gu, Z., et al. (2026) · European Journal of Clinical Pharmacology · doi:10.1007/s00228-026-04130-7
Comparative efficacy of common thrombolytics in acute ischaemic stroke: a network meta-analysis
Joon, K. C., Cheng, A. B. H., Ng, R.-K., Kwan, R., Tan, Y. Y., Tan, B. Y. Q., Chen, Y., Sia, C., Yeo, L. L. L., & Yeo, J. Y. P. (2026) · Singapore Medical Journal · doi:10.4103/singaporemedj.smj-2025-179
Wang, L., Xu, J., Guo, Y., Wang, X., & Jia, M. (2026) · Frontiers in Endocrinology · doi:10.3389/fendo.2026.1817587
Rathore, K., Choudhary, S., & Singh, D. A. (2026) · Research Square · doi:10.21203/rs.3.rs-10265679/v1
Probiotics in pediatric functional abdominal pain disorders: a systematic review and meta-analysis
Balasan, N., Kharrat, F., Lega, S., Leo, G. D., D’Adamo, P., Comar, M., Barbi, E., & Zupin, L. (2026) · European Journal of Pediatrics · doi:10.1007/s00431-026-07161-5
Elfil, M., Abbas, A., Sabet, H., Elmashad, A., El-Moslemani, M., Albanna, A. J., Soldozy, S., Najdawi, Z. R., Silva, L. M. T., Moll, E., et al. (2026) · Journal of the Neurological Sciences · doi:10.1016/j.jns.2026.126099
Liu, J., Guo, J., Than, M. T., Bleakney, A. W., Elliott, J. R., & Jan, Y. (2026) · The Journal of Strength and Conditioning Research · doi:10.1519/jsc.0000000000005600
Hageen, A. W., Gadelmawla, A. F., Saleh, A. O., Mohamed, M. R., Abdallfatah, A., Elsekhary, A., El‐Nemr, A. F., Eladawi, S., Maihoub, O., Abdulhay, H., et al. (2026) · Endocrinology Diabetes & Metabolism · doi:10.1002/edm2.70275
He, H., Zhang, H., Lv, H., Ding, N., & Wang, W. (2026) · Frontiers in Oncology · doi:10.3389/fonc.2026.1866820
Lu, J., Huang, S., Zeng, Y., Li, D., Song, S., Chen, S. Y., Chen, J., He, Q. J., Huang, J., & Hu, Y. (2026) · Frontiers in Medicine · doi:10.3389/fmed.2026.1831444
Degen, B., Locher, C., Koechlin, H., Gaab, J., & Nascimento, A. F. (2026) · Systematic Reviews · doi:10.1186/s13643-026-03255-1
Tu, Y., Fariña, R., Viola, A., Tsai, T., & Hodges, J. S. (2026) · Journal of Periodontal Research · doi:10.1111/jre.70150
Feng, H., Li, Y., Xie, Z., Wang, Y., & Wang, Z. (2026) · Journal of Sports Sciences · doi:10.1080/02640414.2026.2705713
Fornaro, M., Lorenzo, C. D., Kishi, T., & Daray, F. M. (2026) · Journal of Affective Disorders · doi:10.1016/j.jad.2026.122329
Saishree, Ranjan, J. K., Asthana, H. S., & Pandey, N. (2026) · Indian Journal of Public Health · doi:10.4103/ijph.ijph_206_25
Pharmacological interventions to treat chronic venous disease: A network meta-analysis
Nguyen, A. N., Ta, K.-N. T., & Chuang, K.-J. (2026) · Phlebology The Journal of Venous Disease · doi:10.1177/02683555261474557
Wasserer, S., Foerster, Y., Preis, S., Lauffer, F., Biedermann, T., Persa, O., & Mayer, K. E. (2026) · JAAD International · doi:10.1016/j.jdin.2026.06.025
Chene, G., Timoh, K. N., Agostini, A., Bendifallah, S., Solignac, C., Darné, B. M., Languille, S., Miquel, L., & Carbonnel, M. (2026) · Journal of Minimally Invasive Gynecology · doi:10.1016/j.jmig.2026.07.036
Ren, Z., Xia, T., Shao, Z., & Zhang, S. (2026) · Frontiers in Nutrition · doi:10.3389/fnut.2026.1879890
Li, Y., Qin, G., Wang, Z., & Zhang, J. (2026) · Frontiers in Nutrition · doi:10.3389/fnut.2026.1860234
Zhang, J., Gao, X., Qu, Y., & Liu, J. (2026) · Frontiers in Medicine · doi:10.3389/fmed.2026.1867631
Ichimura, T., Sugita, H., Noma, H., Yamaji, N., Sunaga, T., Sato, M. T., Maeda, M., Toyoda, S., Ota, E., & Hasegawa, T. (2026) · Cochrane Database of Systematic Reviews · doi:10.1002/14651858.cd015738.pub2
Couto, N., Jacinto, M., Antunes, R., Monteiro, D., Brito, J. P., & Bento, T. (2026) · Journal of Medical Internet Research · doi:10.2196/105113
Li, T., Zhang, S., Ding, X., Zhu, M., Chen, H., Luo, Z., Wei, W., & Li, Z. (2026) · American Journal of Geriatric Psychiatry · doi:10.1016/j.jagp.2026.08.015
The optimal stent‐strategy in paediatric pyeloplasty: a systematic review and network meta‐analysis
Aubert, O., M'Tiri, S., Kühnapfel, A., Petroff, D., Haney, C. M., Moormann, M., Skarba, L., Erdoesi, P., Stein, R., Boettcher, M., et al. (2026) · British Journal of Urology · doi:10.1111/bju.70423
Sinha, M., Ranjan, J. K., & Asthana, H. S. (2026) · Journal of Addictive Diseases · doi:10.1080/10550887.2026.2713432
Auffermann, W., Jumaily, M. A., & Auffermann, A. (2026) · Journal of Clinical Medicine · doi:10.3390/jcm15166480
Shahzaib, M., Ali, H., Roshaan, M., Muhammad, A., Yasir, M., Shahryar, M., Afzal, N., & Shahzad, E. (2026) · Naunyn-Schmiedeberg s Archives of Pharmacology · doi:10.1007/s00210-026-05843-3
Liu, Z., Surendran, S. A., & Chong, E. W. T. (2026) · British Journal of Ophthalmology · doi:10.1136/bjo-2026-330185
Herder, K. E., Liu, Y., LaFleur, B., & Lin, L. (2026) · BMJ Open · doi:10.1136/bmjopen-2026-119511
Li, Y., Xie, R., Lei, L., li, Y., liu, Q., zhang, H., & Sun, X. (2026) · Research Square · doi:10.21203/rs.3.rs-10584098/v1
Gong, C., Zeng, W., Xiao, X., Liu, Q., & Luo, Y. (2026) · Frontiers in Psychiatry · doi:10.3389/fpsyt.2026.1881200
Khoshaim, Y. A., Almaghrabi, A. R., Alruwaythi, A. A., Alotaibi, A. E., Alhoshan, I. M., Almalki, T. A., Sabbah, A. A., Al-Shuaibi, A. W., Almarzoqi, O. N., Mesawa, O. T., et al. (2026) · Cureus · doi:10.7759/cureus.115334
Diagnostic accuracy of delirium screening tools in the emergency department: A network meta-analysis
Lin, Y.-C., Shiao, Y.-C., Chen, W.-T., Hsu, C., Thompson, T., Carvalho, A. F., Stubbs, B., Tseng, P., Yang, W.-W., Tu, Y., et al. (2026) · The American Journal of Emergency Medicine · doi:10.1016/j.ajem.2026.08.050
Comparative efficacy of interventions for transdiagnostic anhedonia: a network meta-analysis
Wang, Y.-M., Chen, F., Hou, Y.-W., & Zhang, M. (2026) · Psychiatry Research · doi:10.1016/j.psychres.2026.117435
Maryam, S., Noor, M., & Kulsoom, A. (2026) · BMJ Open · doi:10.1136/bmjopen-2026-119668
Pajareya, P., Laohasurayotin, K., Chuanchai, W., Siranart, N., Phutinart, S., Prasitlumkum, N., Ponnusamy, S. S., & Chokesuwattanaskul, R. (2026) · Heart Rhythm O2 · doi:10.1016/j.hroo.2026.08.150
Wang, K., He, J., Zhu, A., & Bi, X. (2026) · BMC Sports Science Medicine and Rehabilitation · doi:10.1186/s13102-026-02041-9 · Cited by 1
Jovanovic, J., Zacharioudaki, M., Kalatzi, M., Papadakis, G., Mulkalapalli, N., Ernst, F., & de Milliano, T. (2026) · Ophthalmology and Therapy · doi:10.1007/s40123-026-01478-y
Hageen, A. W., Gadelmawla, A. F., Saleh, A. O., Bahnasy, S., Eladawi, S., Abdelaziz, M., Iyad, K., Kandil, A. H., Zinhom, K., Reyad, M., et al. (2026) · Endocrinology Diabetes & Metabolism · doi:10.1002/edm2.70313
Luo, J., Lyu, C., Niu, J., Lin, Z., Shi, Y., & Ma, Z. (2026) · Frontiers in Psychology · doi:10.3389/fpsyg.2026.1942447
Viejo, J. D. M., Ros, F. M. N., Trillo‐Calvo, E., & Rodríguez, L. R. (2026) · Journal of Clinical Medicine · doi:10.3390/jcm15187169
Zhang, J., Zhong, J., Huang, S., & Zhang, L. (2026) · Frontiers in Oral Health · doi:10.3389/froh.2026.1949538
Singh, J., Lopes, V. H. P., Leite, M. G. H. S. J., de Medeiros, G. N., Loiola, J. D. L., Visentini, L. M., Gonçalves, O. R., Bansal, A., & Cosmo, L. D. (2026) · Journal of Thrombosis and Thrombolysis · doi:10.1007/s11239-026-03396-z
Nußbaumer-Streit, B., Dobrescu, A. I., Sharifan, A., Klerings, I., Neubauer-Bruckner, C., Nowak, C. P., & Gartlehner, G. (2026) · Journal of Clinical Epidemiology · doi:10.1016/j.jclinepi.2026.112517
Elshabrawi, M. M. I. M., & Ismail, N. A. A. (2026) · Scientific Reports · doi:10.1038/s41598-026-69311-x
McIsaac, D. I., Gillmore, T. C., Al-Bayati, M., Branje, K., Hladkowicz, E., Wolfe, D. M., & Hutton, B. (2026) · British Journal of Anaesthesia · doi:10.1016/j.bja.2026.08.052
Riwa, F. P., Jones, M., Rahman, K. M., Mushi, A. A., & Odgers‐Jewell, K. (2026) · Maternal and Child Nutrition · doi:10.1111/mcn.70252
Metadata
- Authors
- Balduzzi, S., Rücker, G., Nikolakopoulou, A., Papakonstantinou, T., Salanti, G., Efthimiou, O., & Schwarzer, G.
- Affiliations
- University of Freiburg (DE)
- University of Bern (CH)
- ORCID
- Venue
- Journal of Statistical Software
- Publisher
- Foundation for Open Access Statistic
- Published
- 2023
- Volume
- 106
- Issue
- 2
- ISSN
- 1548-7660 (ISSN-L)
- OpenAlex
- W4327640222
- Cited by
- 532
- References
- 67
- Citations by year
- 2026: 221 · 2025: 176 · 2024: 108 · 2023: 27
- FWCI
- 98.70
- Type
- journal article
- Language
- en
- Open access
- diamond
- doi.org
- Licence
- cc-by
- Locations
- Journal of Statistical Software (publishedVersion, cc-by)
- DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
- Funders
- National Science Foundation
- Deutsche Forschungsgemeinschaft
- Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung (186723, 179158, 180083)
- Topics
- Social Sciences › Decision Sciences › Statistics, Probability and Uncertainty › Meta-analysis and systematic reviews
- Physical Sciences › Mathematics › Statistics and Probability › Statistical Methods in Clinical Trials
- Physical Sciences › Mathematics › Statistics and Probability › Data Analysis with R
- Keywords
- network meta-analysis, frequentist methods, direct and indirect evidence, intervention comparison, statistical software
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
