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Simultaneous comparison of multiple treatments: Combining direct and indirect evidence.
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A randomized comparison between rasburicase and allopurinol in children with lymphoma or
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Indirect comparison: relative risk fallacies and odds solution
Eckermann, S. D., Coory, M. D., & Willan, A. R. (2009) · Journal of Clinical Epidemiology · doi:10.1016/j.jclinepi.2008.10.013 · Cited by 41
“Similarly, the rejection of RR in favor of OR for indirect comparison will also carry over to metaregression and network analysis [16,17] for the case of interest where baseline risks differ across trials.”
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Sun, F., Yu, K., Wu, S., Zhang, Y., Yang, Z., Shi, L., Ji, L., & Zhan, S. (2012) · Diabetes Research and Clinical Practice · doi:10.1016/j.diabres.2012.09.004 · Cited by 41
“beyond them, because the network technique allows dissection of the individual drug to evaluate interested outcomes, especially faced with that very few RCTs have directly compared competing GLP-1 drugs, we applied a network meta-analysis based on Bayesian model to explore the effect of indirect comparison between the…”
MethodTurkstra, E., Ng, S., & Scuffham, P. (2011) · Current Medical Research and Opinion · doi:10.1185/03007995.2011.608655 · Cited by 48
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“Salanti and others have discussed the merits and challenges of the mixed treatment approach.[12,23,24] The mixed treatment comparison is a resource intensive approach to conducting analyses as it requires knowledge of Bayesian principles and working abilities with WinBUGS, a somewhat user-unfriendly software for those…”
BackgroundZhao, Y., Chen, C., Pan, W., Gao, M., He, W., Mao, R., Lin, T., & Huang, J. (2015) · Nutrition · doi:10.1016/j.nut.2015.10.023 · Cited by 40
Wu, Y., Ai, P., Ai, Z., & Xu, G. (2017) · Biomedicine & Pharmacotherapy · doi:10.1016/j.biopha.2017.10.078 · Cited by 41
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A brief introduction of meta‐analyses in clinical practice and research
Wang, X., Zhang, X., Li, Z., Zhong, W., Yang, P., & Mao, C. (2021) · The Journal of Gene Medicine · doi:10.1002/jgm.3312 · Cited by 42
“This meta-analysis may lead to a greater accuracy of estimating intervention effectiveness and the ability to compare all available interventions to calculate the rank of different interventions.(34,35) For example, phosphodiesterase type 5 inhibitors (PDE5-Is) are the firstline therapy for erectile dysfunction, altho…”
BackgroundTreatments for alopecia areata: A systematic review and network meta‐analysis
Fukumoto, T., Fukumoto, R., Magno, E., Oka, M., Nishigori, C., & Horita, N. (2021) · Dermatologic Therapy · doi:10.1111/dth.14916 · Cited by 41
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Orme, M. E., Collins, S., Dakin, H., Kelly, S., & Loftus, J. (2009) · Current Medical Research and Opinion · doi:10.1185/03007990903498786 · Cited by 41
Tramacere, I., Giovane, C. D., Salanti, G., D’Amico, R., Pacchetti, I., & Filippini, G. (2014) · Cochrane Database of Systematic Reviews · doi:10.1002/14651858.cd011381 · Cited by 40
Kendrick, D., Ablewhite, J., Achana, F. A., Benford, P., Clacy, R., Coffey, F., Cooper, N. J., Coupland, C. A. C., Deave, T., Goodenough, T., et al. (2017) · Programme Grants for Applied Research · doi:10.3310/pgfar05140 · Cited by 41
Mavranezouli, I., Mayo-Wilson, E., Dias, S., Kew, K. M., Clark, D. M., Ades, A. E., & Pilling, S. (2015) · PLoS ONE · doi:10.1371/journal.pone.0140704 · Cited by 47
Self-citationNovel presentational approaches were developed for reporting network meta-analysis
Tan, S. H., Cooper, N. J., Bujkiewicz, S., Welton, N. J., Caldwell, D. M., & Sutton, A. J. (2014) · Journal of Clinical Epidemiology · doi:10.1016/j.jclinepi.2013.11.006 · Cited by 40
Self-citationLuckner, H., Moss, J. R., & Gericke, C. A. (2011) · European Journal of Public Health · doi:10.1093/eurpub/ckr141 · Cited by 41
Cope, S. F., Ouwens, M., Jansen, J. P., & Schmid, P. (2013) · Value in Health · doi:10.1016/j.jval.2012.10.019 · Cited by 40
Assiri, A. M., Al-Majzoub, O., Kanaan, A. O., Donovan, J. L., & Silva, M. J. (2013) · Clinical Therapeutics · doi:10.1016/j.clinthera.2013.05.011 · Cited by 40
“and indirect comparisons along with the number of trials in each node.(30,31) Connected treatment networks were evaluated to identify heterogeneity and consistency within closed loop evidence structures.”
BackgroundNaci, H., Brugts, J. J., Fleurence, R., & Ades, A. E. (2013) · QJM · doi:10.1093/qjmed/hct041 · Cited by 38
“To determine the comparative effects of statins, we conducted multiple-treatments meta-analyses.(31) In these analyses, study-level relative treatment effects were combined using random-effects models within a Bayesian framework using Markov chain Monte Carlo methods.”
MethodSelf-citationQin, Z., Wu, J., Tian, J., Zhou, J., Liu, Y., & Liu, Z. (2016) · Scientific Reports · doi:10.1038/srep35737 · Cited by 41
“Network meta-analysis overcomes this limitation by creating indirect comparisons and allowing data synthesis, which could help identify the most effective interventions 18,19 .”
Monotherapy for toenail onychomycosis: a systematic review and network meta‐analysis
Gupta, A. K., Foley, K. A., Mays, R. R., Shear, N. H., & Piguet, V. (2019) · British Journal of Dermatology · doi:10.1111/bjd.18155 · Cited by 40
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Consistency between Direct and Indirect Trial Evidence: Is Direct Evidence Always More Reliable?
Madan, J. J., Stevenson, M., Cooper, K. L., Ades, A. E., Whyte, S., & Akehurst, R. L. (2011) · Value in Health · doi:10.1016/j.jval.2011.05.042 · Cited by 38
“Statistical methods appear to have been discovered independently by several authors [1–3], although recently Bayesian methods based on the previous work [2] have become popular [4,5].”
MethodSelf-citationDecision analysis for resource allocation in health care
Griffin, S. C., Claxton, K., & Sculpher, M. J. (2008) · Journal of Health Services Research & Policy · doi:10.1258/jhsrp.2008.008017 · Cited by 39
Moertl, D., Chen, L., Coyle, D., Wells, G. A., & Steiner, S. (2012) · Thrombosis and Haemostasis · doi:10.1160/th11-08-0586 · Cited by 39
“In our study, we chose network analysis to overcome the limitations of simple pair-wise comparisons and the need of a common comparator for all included trials (45).”
MethodXie, W., Zheng, F., Zhong, B., & Song, X. (2015) · Journal of the American Heart Association · doi:10.1161/jaha.115.002259 · Cited by 40
“Using a statistical technique called network meta-analysis, we were able to take advantage of both direct (head-to-head) and indirect evidence and formally compare all existing therapies.(32,33) Two previous network meta-analyses were conducted to compare the efficacy of antiplatelet therapies among stroke or TIA pati…”
Zhuang, X., He, X., Yang, D.-Y. D., Guo, Y., He, J., Xiao, H., & Liao, X. (2018) · Cardiovascular Diabetology · doi:10.1186/s12933-018-0722-z · Cited by 39
“The network meta-analysis was based on a frequentist model [19].”
MethodLewis, S. R., Macey, R., Stokes, J., Cook, J. A., Eardley, W. G., & Griffin, X. L. (2022) · Cochrane Database of Systematic Reviews · doi:10.1002/14651858.cd013404.pub2 · Cited by 42
Zhang, Y., Li, G., Liu, C., Guan, J., Zhang, Y., & Shi, Z. (2023) · Frontiers in Psychiatry · doi:10.3389/fpsyt.2023.1199510 · Cited by 38
Application of network meta-analysis in the field of physical activity and health promotion
Su, X., McDonough, D. J., Chu, H., Quan, M., & Gao, Z. (2020) · Journal of Sport and Health Science · doi:10.1016/j.jshs.2020.07.011 · Cited by 38
“Therefore, compared with only direct evidence derived from standard pairwise meta-analyses, NMA maximizes the availability of evidence by allowing for the comparison of any pair of interventions linked through the constructed evidence-network, thus increasing the precision of the effect size for a given intervention s…”
BackgroundGuo, G., Pan, C., Guo, W., Bai, S., Nie, H., Feng, Y., Li, G., Deng, H. X., Ma, Y., Zhu, S., et al. (2020) · Journal of NeuroInterventional Surgery · doi:10.1136/neurintsurg-2019-015362 · Cited by 39
Loveman, E., Copley, V. R., Colquitt, J. L., Scott, D. A., Clegg, A. J., Jones, J., O’Reilly, K. M., Singh, S., Bausewein, C., & Wells, A. U. (2015) · Health Technology Assessment · doi:10.3310/hta19200 · Cited by 37
“In this case, the difference in effect between treatments A and B is equal to the difference in effects between treatments A and C, and B and C: a difference in differences model A – B= (A –C) – (B –C).(76,77) When direct randomised evidence is limited or unavailable, NMA is increasingly being used to inform clinical…”
MethodXiong, T., Turner, R., Wei, Y., Neal, D. E., Lyratzopoulos, G., & Higgins, J. P. T. (2014) · BMJ Open · doi:10.1136/bmjopen-2013-004285 · Cited by 37
Self-citationMustafa, U., Atkins, J., Mina, G. S., Dawson, D., Vanchiere, C. A., Duddyala, N., Jones, R., Reddy, P. C., & Dominic, P. S. (2019) · Open Heart · doi:10.1136/openhrt-2018-000937 · Cited by 39
Ades, A. E., Caldwell, D. M., Reken, S., Welton, N. J., Sutton, A. J., & Dias, S. (2012) · Bristol Research (University of Bristol) · Cited by 38
Self-citationMethods for the Drug Effectiveness Review Project
McDonagh, M. S., Jonas, D. E., Gartlehner, G., Little, A. A., Peterson, K., Carson, S., Gibson, M., & Helfand, M. (2012) · BMC Medical Research Methodology · doi:10.1186/1471-2288-12-140 · Cited by 39
“We follow established guidance on methods for quantitative indirect synthesis [3,9-14].”
MethodMultiple Comparisons within a Study
Borenstein, M., Hedges, L. V., Higgins, J. P. T., & Rothstein, H. R. (2009) · doi:10.1002/9780470743386.ch25 · Cited by 38
Self-citationLi, Z., Lin, C., Cai, X., Lv, F., Yang, W., & Ji, L. (2024) · Alzheimer s Research & Therapy · doi:10.1186/s13195-024-01645-y · Cited by 44
“In the network plots, the node represented as an intervention and the comparisons between two interventions were depicted as connection lines, whose width indicated the quantities of studies in corresponding comparison [38, 39].”
Graudal, N. A., Hubeck‐Graudal, T., Tarp, S., Christensen, R., & Jűrgens, G. (2014) · PLoS ONE · doi:10.1371/journal.pone.0106408 · Cited by 37
“include both direct and indirect comparisons) [7,8].”
BackgroundRemonti, L. R., Dias, S., Leitão, C. B., Kramer, C. K., Klassmann, L. P., Welton, N. J., Ades, A. E., & Gross, J. L. (2016) · Journal of Diabetes and its Complications · doi:10.1016/j.jdiacomp.2016.04.020 · Cited by 37
Self-citationTriple therapy combinations for the treatment of type 2 diabetes – A network meta-analysis
Lee, C., Woodward, M., & Colagiuri, S. (2016) · Diabetes Research and Clinical Practice · doi:10.1016/j.diabres.2016.04.037 · Cited by 37
“Multivariate network meta-analysis can provide estimates for all pairwise comparisons that are linked to a network of trials through utilising both direct evidence obtained from studies directly comparing drug class combinations and indirect evidence estimated through a common comparator [6].”
MethodKang, M., Jeong, C. W., Kwak, C. H., Kim, H. H., & Ku, J. H. (2016) · Oncotarget · doi:10.18632/oncotarget.9991 · Cited by 37
“com/oncotarget have not been specifically compared in individual trials [22].”
Sion, K., Huisman, E. L., Punekar, Y. S., Naya, I. P., & Ismaila, A. (2017) · Pulmonary Therapy · doi:10.1007/s41030-017-0048-0 · Cited by 37
A Comparison of National Guidelines for Network Meta-Analysis
Laws, A., Tao, R., Wang, S., Padhiar, A., & Goring, S. M. (2019) · Value in Health · doi:10.1016/j.jval.2019.05.013 · Cited by 37
Lee, Y. H., & Song, G. G. (2015) · Lupus · doi:10.1177/0961203315595131 · Cited by 37
Palmieri, C., Fullarton, J., & Brown, J. E. (2013) · Clinical Cancer Research · doi:10.1158/1078-0432.ccr-13-2275 · Cited by 37
“placebo).(22,23) Therefore, the MTC approach has the advantage that it can utilise data from a wider variety of sources than a traditional frequentist meta-analysis (e.”
BackgroundCucherat, M., Stalmans, I., & Rouland, J. (2013) · Journal of Glaucoma · doi:10.1097/ijg.0b013e3182a075e6 · Cited by 36
Methods to Assess Cost-Effectiveness and Value of Further Research When Data Are Sparse
Soares, M. O., Dumville, J. C., Ashby, R. L., Iglesias, C. P., Bojke, L., Adderley, U. J., McGinnis, E., Stubbs, N. C., Torgerson, D. J., Claxton, K., et al. (2012) · Medical Decision Making · doi:10.1177/0272989x12451058 · Cited by 36
Zheng, H. Y., Barnett, A. G., Merollini, K. M. D., Sutton, A. J., Cooper, N. J., Berendt, T., Wilson, J. A., & Graves, N. (2014) · BMJ Open · doi:10.1136/bmjopen-2013-003978 · Cited by 36
“Studies that only compared different types, doses or durations of antibiotic regimens were treated as one-arm trials and excluded from the network meta-analysis as MTC relies on there being at least two arms that can become part of the network.(10) The antibiotics were combined because there is little evidence of diff…”
Pregabalin versus gabapentin in partial epilepsy: a meta-analysis of dose-response relationships
Delahoy, P. J., Thompson, S., & Marschner, I. C. (2010) · BMC Neurology · doi:10.1186/1471-2377-10-104 · Cited by 36
“In recent years, the role of metaanalysis has developed substantially in medical applications [6-9] and is regarded as a well accepted method of generating evidence in the context of medical decisionmaking and cost-effectiveness modelling [10-12].”
MethodCohen, A. T., Drost, P., Marchant, N., Mitchell, S., Orme, M. E., Rublee, D. A., Simon, T. A., & Sutton, A. J. (2012) · Clinical and Applied Thrombosis/Hemostasis · doi:10.1177/1076029612437579 · Cited by 38
“In particular, it assumes that all the studies relate to the same patient population and that any differences in study design, inclusion criteria, or baseline characteristics will not influence the relative efficacy of the various treatments.(16) In the current analysis, methods for diagnosing DVT and PE and definitio…”
Hao, Z., Wang, X., & Zhang, X. (2018) · Journal of Orthopaedic Surgery and Research · doi:10.1186/s13018-018-0852-8 · Cited by 36
“0 (Stata Corporation, College Station, TX, USA) and developed a DerSimonian-Laird random effects model for comparisons between two strategies [6].”
MethodWang, F.-G., Yan, W., Yan, M., & Song, M. (2019) · European Journal of Surgical Oncology · doi:10.1016/j.ejso.2019.01.182 · Cited by 36
Comparative Efficacy of Therapeutics for Chronic Cancer Pain: A Bayesian Network Meta-Analysis
Huang, R., Jiang, L., Cao, Y., Liu, H., Ping, M., Li, W., Xu, Y., Ning, J., Chen, Y., & Wang, X. (2019) · Journal of Clinical Oncology · doi:10.1200/jco.18.01567 · Cited by 37
“regimens.(11) Therefore, the aim of this Bayesian network meta-analysis will be to comprehensively evaluate the effectiveness of various therapeutic regimens for chronic cancer pain.”
BackgroundGao, Y., Ge, L., Ma, X., Shen, X., Liu, M., & Tian, J. (2019) · Journal of Clinical Epidemiology · doi:10.1016/j.jclinepi.2019.05.022 · Cited by 35
Iannone, A., Ruospo, M., Palmer, S. C., Principi, M., Barone, M., Leo, A. D., & Strippoli, G. F. (2019) · Alimentary Pharmacology & Therapeutics · doi:10.1111/apt.15493 · Cited by 36
Franco, J. V. A., Jung, J. H., Imamura, M., Borofsky, M. S., Omar, M. I., Liquitay, C. M. E., Young, S., Veroniki, A. A., Garegnani, L., & Dahm, P. (2020) · Cochrane Database of Systematic Reviews · doi:10.1002/14651858.cd013656 · Cited by 36
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“A meta-analysis of randomized trials is generally considered the best source for effect estimates, but a network meta-analysis may be required when several direct and indirect comparisons are available (16).”
BackgroundValidity of indirect comparisons in meta-analysis
Caldwell, D. M., Gibb, D. M., & Ades, A. E. (2007) · The Lancet · doi:10.1016/s0140-6736(07)60138-x · Cited by 36
Self-citationDeclining efficacy in controlled trials of antidepressants: effects of placebo dropout
Schalkwijk, S., Undurraga, J., Tondo, L., & Baldessarini, R. J. (2014) · The International Journal of Neuropsychopharmacology · doi:10.1017/s1461145714000224 · Cited by 34
“To manage data from trials involving multiple comparisons, trials with more than one antidepressant-arm were pooled into a single drug-arm by weighted-averaging (Caldwell et al., 2005).”
MethodMiladinović, B., Chaimani, A., Hozo, I., & Djulbegović, B. (2014) · The Stata Journal Promoting communications on statistics and Stata · doi:10.1177/1536867x1401400106 · Cited by 35
“They revolve around the choice of a prior estimate and depend on multiple-chain Monte Carlo simulations for the posterior estimates of treatment effects (Lu and Ades 2004; Caldwell, Ades, and Higgins 2005; Jansen et al. 2008).”
BackgroundStudy designs to detect sponsorship and other biases in systematic reviews
Dias, S., Welton, N. J., & Ades, A. E. (2010) · Journal of Clinical Epidemiology · doi:10.1016/j.jclinepi.2010.01.005 · Cited by 34
Self-citationHow Far Do You Go? Efficient Searching for Indirect Evidence
Hawkins, N., Scott, D. A., & Woods, B. S. (2009) · Medical Decision Making · doi:10.1177/0272989x08330120 · Cited by 35
‘Arm‐based’ parameterization for network meta‐analysis
Hawkins, N., Scott, D. A., & Woods, B. (2016) · Research Synthesis Methods · doi:10.1002/jrsm.1187 · Cited by 35
“Network meta-analysis combines evidence from trials comparing different sets of treatments in a single coherent analysis (Lu and Ades, 2004; Caldwell et al., 2005; Jansen et al., 2011) providing estimates of relative treatment effects that are informed by both direct and indirect evidence.”
BackgroundInfluentialWeisel, K. C., Doyen, C., Dimopoulos, M. A., Yee, A., Lahuerta, J. J., Martin, A. L., Travers, K. U., Druyts, E., Toor, K., Abildgaard, N., et al. (2016) · Leukemia & lymphoma/Leukemia and lymphoma · doi:10.1080/10428194.2016.1177772 · Cited by 35
Njei, B. M., McCarty, T. R., Muniraj, T., Sharma, P., Jamidar, P. A., Aslanian, H. R., Varadarajulu, S. S., & Navaneethan, U. (2020) · Endoscopy International Open · doi:10.1055/a-1005-6366 · Cited by 38
“The Bayesian meta-analysis approach offers greater flexibility for the use of more complex models and different outcome types, thereby enabling the simultaneous comparison of all treatment options [35].”
MethodSaeteaw, M., Sanguanboonyaphong, P., Yoodee, J., Craft, K., Sawangjit, R., Ngamphaiboon, N., Shantavasinkul, P. C., Subongkot, S., & Chaiyakunapruk, N. (2020) · BMJ Supportive & Palliative Care · doi:10.1136/bmjspcare-2020-002601 · Cited by 36
Cognitive Impairment in Individuals With Spinal Cord Injury
Sandalic, D., Craig, A. R., Tran, Y., Arora, M., Pozzato, I., McBain, C., Tonkin, H., Simpson, G. K., Gopinath, B., Kaur, J., et al. (2022) · Neurology · doi:10.1212/wnl.0000000000200957 · Cited by 35
Caldwell, D. M., Davies, S. R., Thorn, J. C., Palmer, J. C., Caro, P., Hetrick, S. E., Gunnell, D., Anwer, S., López-López, J. A., French, C. E., et al. (2021) · Public Health Research · doi:10.3310/phr09080 · Cited by 41
Self-citationXiang, C., & Zhang, Y. (2023) · Neuropsychology Review · doi:10.1007/s11065-023-09584-5 · Cited by 34
“…meta-analysis of cognitive outcomes using MMSE and ADAS-cog was conducted to compare the four cognitive intervention types by using a Bayesian statistical model, and forming a connected network that integrated both direct and indirect evidence using STATA software network (Caldwell et al., 2005).”
MethodBuckley, Y. M. (2015) · Oxford University Press eBooks · doi:10.1093/acprof:oso/9780199672547.003.0007 · Cited by 37
Graft-Versus-Host Disease Prophylaxis after Transplantation: A Network Meta-Analysis
Ziakas, P. D., Zervou, F. N., Zacharioudakis, I. M., & Mylonakis, E. E. (2014) · PLoS ONE · doi:10.1371/journal.pone.0114735 · Cited by 34
“The corresponding 95% CIs are computed assuming asymptotic normality and lack of covariance as described previously [14–17] Also, we reported the number needed to treat to benefit (NNTB) i.”
MethodPopat, S., Mellemgaard, A., Fahrbach, K. R., Martin, A. L., Rizzo, M., Kaiser, R., Griebsch, I., & Reck, M. (2014) · Future Oncology · doi:10.2217/fon.14.290 · Cited by 34
McIntosh, B., Cameron, C. G., Singh, S. R., Yu, C., Dolovich, L., & Houlden, R. L. (2012) · Europe PMC (PubMed Central) · Cited by 33
Warren, F. C., Abrams, K. R., & Sutton, A. J. (2014) · Statistics in Medicine · doi:10.1002/sim.6131 · Cited by 33
“Furthermore, mixed treatment comparison (MTC) methods [7–15], also referred to as network meta-analysis, offer great potential to model differences in intervention definitions, by allowing the synthesis of evidence across arbitrarily complex networks of treatment comparisons; such methods have been applied in a simple…”
MethodLu, Y., Cheng, Z., Zhao, Y., Chang, X., Chan, C., Bai, Y., & Cheng, N. (2016) · Atherosclerosis · doi:10.1016/j.atherosclerosis.2016.10.025 · Cited by 35
Doosti‐Irani, A., Mansournia, M. A., Rahimiforoushani, A., Haddad, P., & Holakouie‐Naieni, K. (2017) · PLoS ONE · doi:10.1371/journal.pone.0184784 · Cited by 36
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Guerra, B., Haile, S. R., Lamprecht, B., Ramírez, A. S., Martínez‐Camblor, P., Kaiser, B., Alfageme, I., Almagro, P., Casanova, C., Esteban, C., et al. (2018) · BMC Medicine · doi:10.1186/s12916-018-1013-y · Cited by 35
“We first performed direct head-to-head comparisons using random effects meta-analysis and then examined the network evidence merging all available direct and indirect evidence [53].”
MethodResearch Note: Comparing interventions with network meta-analysis
Bagg, M. K., Salanti, G., & McAuley, J. H. (2018) · Journal of physiotherapy · doi:10.1016/j.jphys.2018.02.014 · Cited by 34
Network meta-analysis of protocol-driven care and laparoscopic surgery for colorectal cancer
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Sukhato, K., Lotrakul, M., Dellow, A., Ittasakul, P., Thakkinstian, A., & Anothaisintawee, T. (2017) · BMJ Open · doi:10.1136/bmjopen-2016-014499 · Cited by 35
“Using common comparator as usual care would allow to indirectly compare home-based psychological intervention with home-based exercise intervention.(43) Treatment effects for each study were estimated using a two-stage network meta-analysis.”
Bisphosphonates in multiple myeloma
Mhaskar, R. S., Redzepovic, J., Wheatley, K., Clark, O. A. C., Miladinović, B., Glasmacher, A., Kumar, A., & Djulbegović, B. (2010) · Cochrane Database of Systematic Reviews · doi:10.1002/14651858.cd003188.pub2 · Cited by 33
Phillips, R. S., Gopaul, S., Gibson, F., Houghton, E., Craig, J. V., Light, K., & Pizer, B. L. (2010) · Cochrane Database of Systematic Reviews · doi:10.1002/14651858.cd007786.pub2 · Cited by 34
Kato, A., Horita, N., Namkoong, H., Nomura, E., Masuhara, N., Kaneko, T., Mizuki, N., & Takeuchi, M. (2022) · Scientific Reports · doi:10.1038/s41598-022-21423-w · Cited by 33
Piccolo, R., Galasso, G., Piscione, F., Esposito, G., Trimarco, B., Dangas, G., & Mehran, R. (2014) · The American Journal of Cardiology · doi:10.1016/j.amjcard.2014.07.069 · Cited by 33
“069 is derived from studies sharing a common comparator within the network frame.(6,7) Therefore, we sought to perform a network meta-analysis of randomized trials to evaluate the effectiveness of different treatment options in patients with DES restenosis.”
MethodDong, H., Pi, F., Ding, Z., Chen, W., Pang, S., Dong, W., & Zhang, Q. (2015) · PLoS ONE · doi:10.1371/journal.pone.0137533 · Cited by 33
Management of chronic prostatitis/chronic pelvic pain syndrome
Doiron, R. C., & Nickel, J. C. (2018) · Canadian Urological Association Journal · doi:10.5489/cuaj.5325 · Cited by 33
Bergrath, E., Gerber, R. A., Gruben, D. C., Lukić, T., Makin, C., & Wallenstein, G. V. (2017) · International Journal of Rheumatology · doi:10.1155/2017/8417249 · Cited by 33
Kim, H. S., Jeong, C. W., Kwak, C. H., Kim, H. H., & Ku, J. H. (2017) · Oncotarget · doi:10.18632/oncotarget.20979 · Cited by 35
“The selection of a fixed or random effects model for reported outcomes was based on the deviance information criteria (DIC), which penalizes greater model complexity [35].”
MethodWang, H., Wang, C., Wang, Y., Tong, H., Feng, Y., Li, M., Liu, J., & Yu, K. (2018) · Current Medical Research and Opinion · doi:10.1080/03007995.2018.1509573 · Cited by 37
Shu, W.-B., Zhang, X., Lu, H.-Y., Wang, H.-H., & Lan, G.-H. (2018) · International Journal of Surgery · doi:10.1016/j.ijsu.2018.11.011 · Cited by 33
Wu, Y., Tang, N., Cai, L., & Li, Q. (2019) · Dermatologic Therapy · doi:10.1111/dth.12822 · Cited by 33
Wang, Y., Chen, L., Liu, F., Zhao, N., Xu, L., Fu, B., & Li, Y. (2019) · Scientific Reports · doi:10.1038/s41598-019-51982-4 · Cited by 33
Pratt, M., Wieland, L. S., Ahmadzai, N., Butler, C., Wolfe, D. M., Pussagoda, K., Skidmore, B., Veroniki, A. A., Rios, P. D. L., Tricco, A. C., et al. (2020) · Systematic Reviews · doi:10.1186/s13643-020-01328-3 · Cited by 33
Stam, W. B., Jansen, J. P., & Taylor, S. (2012) · The Open Rheumatology Journal · doi:10.2174/1874312901206010006 · Cited by 33
“The posterior distribution can be interpreted in terms of probabilities and allows calculating the probability that each treatment is best out of those compared given the data at hand [8-11].”
BackgroundMethodInfluentialEllis, A. G., Reginster, J., Luo, X., Cappelleri, J. C., Chines, A. A., Sutradhar, S., & Jansen, J. P. (2014) · Value in Health · doi:10.1016/j.jval.2014.01.008 · Cited by 32
“Treatment effects of the different studies were synthesized and indirectly compared by means of an NMA [11–14].”
MethodSobieraj, D. M., Cappelleri, J. C., Baker, W. L., Phung, O. J., White, C. M., & Coleman, C. I. (2013) · BMJ Open · doi:10.1136/bmjopen-2013-003111 · Cited by 33
“[1, 5-8] In the simplest form, interventions that are evaluated against a common”
Background
Metadata
- Authors
- Caldwell, D. M., Ades, A. E., & Higgins, J. P. T.
- Affiliations
- University of Bristol (GB)
- MRC Biostatistics Unit (GB)
- Corresponding author
- Caldwell, Deborah M
- Venue
- BMJ
- Publisher
- BMJ
- Published
- 2005-10-13
- Volume
- 331
- Issue
- 7521
- Pages
- 897-900
- ISSN
- 0007-1447 (ISSN-L)
- 0959-8138
- 1468-5833
- PMC
- PMC1255806
- OpenAlex
- W1967385770
- Cited by
- 1,600
- References
- 37
- Citations by year
- 2026: 53 · 2025: 63 · 2024: 72 · 2023: 67 · 2022: 91 · 2021: 105 · 2020: 136 · 2019: 115 · 2018: 115 · 2017: 108 · 2016: 95 · 2015: 107 · 2014: 101 · 2013: 79 · 2012: 80
- FWCI
- 16.23
- Type
- journal article
- Language
- en
- Open access
- bronze
- doi.org
- Locations
- BMJ (publishedVersion)
- Europe PMC (PubMed Central) (publishedVersion)
- PubMed Central (publishedVersion)
- PubMed (publishedVersion)
- Explore Bristol Research (submittedVersion)
- Topics
- Physical Sciences › Mathematics › Statistics and Probability › Statistical Methods in Clinical Trials
- Social Sciences › Decision Sciences › Statistics, Probability and Uncertainty › Meta-analysis and systematic reviews
- Health Sciences › Medicine › Hematology › Methemoglobinemia and Tumor Lysis Syndrome
- Keywords
- rasburicase, allopurinol, hyperuricemia, lymphoma, pediatric oncology, direct and indirect evidence, treatment comparison
- MeSH terms
- Data Interpretation, Statistical, Decision Making, Humans, Meta-Analysis as Topic, Bias, Randomized Controlled Trials as Topic, Evidence-Based Medicine
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