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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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Price, M. J., Welton, N. J., Briggs, A. H., & Ades, A. E. (2011) · Value in Health · doi:10.1016/j.jval.2010.08.001 · Cited by 33
“Third, it should respect the randomisation structure in the evidence, combining where necessary randomized evidence on pair-wise comparisons to make inferences about relative efficacy of several treatments [25,27].”
BackgroundSelf-citationParameterization of treatment effects for meta‐analysis in multi‐state Markov models
Price, M. J., Welton, N. J., & Ades, A. E. (2010) · Statistics in Medicine · doi:10.1002/sim.4059 · Cited by 33
“This model is then used for a Bayesian MTC to estimate marginal posterior distributions for the relative efficacies of the different treatments.”
BackgroundMethodInfluentialSelf-citationLi, Z., Zhang, Y., Quan, X., Yang, Z., Zeng, X., Ji, L., Sun, F., & Zhan, S. (2016) · PLoS ONE · doi:10.1371/journal.pone.0154206 · Cited by 33
“Network meta-analysis has been proved to be the most appropriate method for multiple treatments comparison to date [26, 129].”
MethodCameron, C. G., Ewara, E. M., Wilson, F. R., Varu, A., Dyrda, P., Hutton, B., & Ingham, M. (2017) · Medical Decision Making · doi:10.1177/0272989x17711933 · Cited by 32
“However, before conducting an indirect comparison or NMA, it is important to assess heterogeneity between trials in terms of patient characteristics and study design to determine if it is appropriate to combine the results of multiple trials into one analysis.(1) The appropriate use of NMAs can lead to enhanced decisi…”
MethodNoma, H., Nagashima, K., Maruo, K., Gosho, M., & Furukawa, T. A. (2017) · Statistics in Medicine · doi:10.1002/sim.7578 · Cited by 34
“One limitation when evaluating the efficacy of a particular treatment of interest in conventional meta‐analysis is that such methods can only be applied to direct pairwise comparison evidence.(1) To overcome this limitation, network meta‐analysis has been developed to enable the comprehensive synthesis and simultaneou…”
Controlled ovarian stimulation protocols for assisted reproduction: a network meta-analysis
Gallos, I. D., Eapen, A. K., Price, M. J., Sunkara, S. K., Macklon, N., Bhattacharya, S., Khalaf, Y., Tobı́as, A., Deeks, J. J., Rajkhowa, M., et al. (2017) · Cochrane Database of Systematic Reviews · doi:10.1002/14651858.cd012586 · Cited by 32
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“Data Synthesis and Statistical Analysis Over the last two decades, network meta-analysis (NMA) methods (17) also known as mixed treatment comparisons (18, 19)–have been developed to synthesize evidence from multiple studies.”
MethodUthman, O. A., & Abdulmalik, J. O. (2009) · Current Medical Research and Opinion · doi:10.1185/03007990903416853 · Cited by 33
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“[14] Caldwell DM, Ades AE, Higgins JP.”
BackgroundMethodHadjigeorgiou, G. M., Doxani, C., Miligkos, M., Ziakas, P. D., Bakalos, G., Papadimitriou, D. A., Mprotsis, T., Grigoriadis, N., & Zintzaras, E. (2013) · Journal of Clinical Pharmacy and Therapeutics · doi:10.1111/jcpt.12090 · Cited by 31
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Efficacy and Safety of Induction Therapy in Kidney Transplantation: A Network Meta-Analysis
Hwang, S. D., Lee, J. H., Lee, S. W., Park, K.-M., Kim, J. K., Kim, M.-J., & Song, J. (2018) · Transplantation Proceedings · doi:10.1016/j.transproceed.2018.01.022 · Cited by 31
Partelli, S., Ricci, C., Cinelli, L., Montorsi, R. M., Ingaldi, C., Andreasi, V., Crippa, S., Alberici, L., Casadei, R., & Falconi, M. (2021) · The American Journal of Surgery · doi:10.1016/j.amjsurg.2021.03.066 · Cited by 31
Progestogens for preventing miscarriage: a network meta-analysis
Devall, A., Papadopoulou, A., Haas, D. M., Price, M. J., Coomarasamy, A., & Gallos, I. D. (2020) · Cochrane Database of Systematic Reviews · doi:10.1002/14651858.cd013792 · Cited by 31
Paracetamol, NSAIDS and opioid analgesics for chronic low back pain: a network meta-analysis
Bagg, M. K., McLachlan, A. J., Maher, C. G., Kamper, S. J., Williams, C. M., Henschke, N., Wand, B. M., Moseley, G. L., Hübscher, M., O'Connell, N. E., et al. (2018) · Cochrane Database of Systematic Reviews · doi:10.1002/14651858.cd013045 · Cited by 32
“NMA uses the ‘direct’ clinical trial data to ‘indirectly’ estimate the effects for the missing comparisons (blank edges) (Caldwell 2005; Cipriani 2009; Jansen 2011; Jansen 2013; Mills 2013; Song 2003; Sutton 2008).”
MethodNg, S. S., Lai, N. M., Nathisuwan, S., Jahan, N. K., Dilokthornsakul, P., Kongpakwattana, K., Hollingworth, W., & Chaiyakunapruk, N. (2020) · Scientific Reports · doi:10.1038/s41598-019-57370-2 · Cited by 30
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“21,22 The variety of interventions was considered among the best if p -score was ≥0.66; when p -score was 0.65 to 0.33, the combination was judged inferior to the best/better than the worst; when p -score was <0.33, the combination was considered among the worst.”
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Treatment Comparisons for Decision Making: Facing the Problems of Sparse and Few Data
Soares, M. O., Dumville, J. C., Ades, A. E., & Welton, N. J. (2013) · Journal of the Royal Statistical Society Series A (Statistics in Society) · doi:10.1111/rssa.12010 · Cited by 30
“For each model, the treatments of interest were ranked by using the posterior probabilities that each of these treatments is the most effective (Caldwell et al., 2005).”
MethodSelf-citationJuluri, R., Eckert, G. J., & Imperiale, T. F. (2011) · BMC Gastroenterology · doi:10.1186/1471-230x-11-38 · Cited by 30
“While head-to-head meta-analysis and network meta-analysis of the same data have been compared [88], there are no comparative analyses between network and treatment-arm meta-analyses.”
MethodYeh, M., Ko, S., Wang, M.-H., Chi, C., & Chung, Y.-C. (2017) · The Journal of Alternative and Complementary Medicine · doi:10.1089/acm.2016.0158 · Cited by 30
Lian, Q., Hodges, J. S., & Chu, H. (2018) · Journal of the American Statistical Association · doi:10.1080/01621459.2018.1476239 · Cited by 31
“To address these limitations and challenges, and motivated by the literature on network meta-analysis of randomized clinical trials (Caldwell, Ades, and Higgins 2005; Lu and Ades 2006; Mills et al. 2012; Zhang et al. 2014), we present a Bayesian hierarchical summary receiver operating…”
MethodCamps‐Font, O., Caro-Bonfill, C., Sánchez‐Garcés, M. Á., & Gay‐Escoda, C. (2018) · Journal of Oral and Maxillofacial Surgery · doi:10.1016/j.joms.2018.07.025 · Cited by 30
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Progress and challenges of network meta‐analysis
Tian, J., Gao, Y., Zhang, J., Yang, Z., Dong, S., Zhang, T., Sun, F., Wu, S., Wu, J., Wang, J., et al. (2021) · Journal of Evidence-Based Medicine · doi:10.1111/jebm.12443 · Cited by 29
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“Indirect comparison (network) meta-analysis is an extension of conventional, pair-wise meta-analysis [21-25].”
Hunot, V., Moore, T. H., Caldwell, D., Davies, P., Jones, H., Lewis, G., & Churchill, R. (2010) · Cochrane Database of Systematic Reviews · doi:10.1002/14651858.cd008704 · Cited by 29
Self-citationYang, D.-Y. D., He, X., Liang, H., Zhang, S., Zhong, X., Luo, C., Du, Z., He, J., Zhuang, X., & Liao, X. (2019) · Cardiovascular Diabetology · doi:10.1186/s12933-019-0853-x · Cited by 29
Network meta‐analysis of longitudinal data using fractional polynomials
Jansen, J. P., Vieira, M.-C., & Cope, S. F. (2015) · Statistics in Medicine · doi:10.1002/sim.6492 · Cited by 29
Baker, E. L., Coleman, C. I., Reinhart, K. M., Phung, O. J., Kugelman, L., Chen, W., White, C. M., Mamolo, C. M., Cappelleri, J. C., & Baker, W. L. (2012) · Dermatology and Therapy · doi:10.1007/s13555-012-0009-3 · Cited by 29
“In addition to traditional meta-analysis, a MTC meta-analysis was conducted using previously validated WinBUGS code [18–22].”
MethodMalloy, R. J., Kanaan, A. O., Silva, M. A., & Donovan, J. L. (2013) · Clinical Therapeutics · doi:10.1016/j.clinthera.2013.09.004 · Cited by 30
González‐Barnadas, A., Camps‐Font, O., Martín‐Fatás, P., Figueiredo, R., Gay‐Escoda, C., & Valmaseda‐Castellón, E. (2019) · Clinical Oral Investigations · doi:10.1007/s00784-019-02910-3 · Cited by 32
Wang, J., Li, X., Wu, X., Wang, Z., Zhang, C., Cao, G., Zhang, X., Peng, F., & Yan, T. (2019) · EBioMedicine · doi:10.1016/j.ebiom.2019.08.006 · Cited by 30
Seidler, A. L., Duley, L., Katheria, A. C., Matallana, C. D. P., Dempsey, E. M., Rabe, H., Kattwinkel, J., Mercer, J., Josephsen, J. B., Fairchild, K. D., et al. (2020) · BMJ Open · doi:10.1136/bmjopen-2019-034595 · Cited by 29
Gibbs, V. N., Champaneria, R., Sandercock, J., Welton, N. J., Geneen, L. J., Brunskill, S. J., Doree, C. J., Kimber, C., Palmer, A. J. R., & Estcourt, L. J. (2024) · Cochrane Database of Systematic Reviews · doi:10.1002/14651858.cd013295.pub2 · Cited by 28
Bangalore, S., Kumar, S., & Messerli, F. H. (2012) · Congestive Heart Failure · doi:10.1111/chf.12011 · Cited by 29
Madan, J. J., Chen, Y., Aveyard, P. N., Wang, D., Yahaya, I., Munafo, M. R., Bauld, L., & Welton, N. J. (2013) · Journal of the Royal Statistical Society Series A (Statistics in Society) · doi:10.1111/rssa.12018 · Cited by 28
“NMA extends pairwise meta-analysis to situations where there is a network of comparisons over three or more interventions (Caldwell et al., 2005; Lu and Ades, 2004) and allows greater flexibility than standard pairwise approaches when analysing complex evidence structures (Cooper et al.”
BackgroundAchana, F. A., Hubbard, S., Sutton, A. J., Kendrick, D., & Cooper, N. J. (2014) · Journal of Clinical Epidemiology · doi:10.1016/j.jclinepi.2013.09.018 · Cited by 29
Knottnerus, B. J., Grigoryan, L., Geerlings, S. E., van Charante, E. P. M., Verheij, T. J., Kessels, A. G. H., & ter Riet, G. (2012) · Family Practice · doi:10.1093/fampra/cms029 · Cited by 29
Shim, S. R., Cho, Y. J., Shin, I., & Kim, J. H. (2016) · International Urology and Nephrology · doi:10.1007/s11255-016-1295-y · Cited by 29
“Indirect evidence should be cautiously applied in clinical practice as it is usually considered less reliable than direct evidence [34, 35].”
BackgroundDequen, P., Lorigan, P. C., Jansen, J. P., van Baardewijk, M., Ouwens, M., & Kotapati, S. (2012) · The Oncologist · doi:10.1634/theoncologist.2011-0427 · Cited by 27
“In the absence of head-to-head efficacy comparisons beyond the gp100 vaccine, an indirect treatment comparison, or network meta-analysis (NMA), is a powerful methodology to compare results with ipilimumab with published results of current or previously used therapies for advanced melanoma [19–27].”
ResultNaci, H., van Valkenhoef, G., Higgins, J. P. T., Fleurence, R., & Ades, A. E. (2014) · Circulation Cardiovascular Quality and Outcomes · doi:10.1161/circoutcomes.114.000825 · Cited by 28
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“We used the Markov chain Monte Carlo method to obtain the pooled effect sizes [29].”
MethodIda, S., Kaneko, R., Imataka, K., Ôkubo, K., Shirakura, Y., Azuma, K., Fujiwara, R., Takahashi, H., & Murata, K. (2020) · Heart Failure Reviews · doi:10.1007/s10741-020-09936-w · Cited by 28
Freeman, S. C., Cooper, N. J., Sutton, A. J., Crowther, M. J., Carpenter, J. R., & Hawkins, N. (2022) · Statistical Methods in Medical Research · doi:10.1177/09622802211070253 · Cited by 29
Liu, Y., Wu, J., Ji, Z., Chen, L., Zou, J., Zheng, J., Lin, W., Cai, J., Chen, Y., Zheng, D., et al. (2023) · BMC Cancer · doi:10.1186/s12885-023-11322-2 · Cited by 29
“Bayesian network meta-analysis was performed using R software (V.4.1.1) and the “gemtc” package [30–32] through Markov Chain Monte Carlo (MCMC) simulation.”
MethodInfluentialPharmacological treatments in panic disorder in adults: a network meta-analysis
Guaiana, G., Meader, N., Barbui, C., Davies, S., Furukawa, T. A., Imai, H., Dias, S., Caldwell, D. M., Koesters, M., Tajika, A., et al. (2023) · Cochrane Database of Systematic Reviews · doi:10.1002/14651858.cd012729.pub3 · Cited by 35
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Treatment Comparison in Rheumatoid Arthritis: Head-to-Head Trials and Innovative Study Designs
Favalli, E. G., Bugatti, S., Biggioggero, M., & Caporali, R. F. (2014) · BioMed Research International · doi:10.1155/2014/831603 · Cited by 28
“Furthermore, multiple different pairwise comparisons across a range of different interventions can be combined into network meta-analysis (also known as mixed treatment comparisons or multiple treatment meta-analyses) [58, 59].”
BackgroundA first step to assess harm and benefit in clinical trials in one scale
Boers, M., Brooks, P., Fries, J. F., Simon, L. S., Strand, V., & Tugwell, P. (2009) · Journal of Clinical Epidemiology · doi:10.1016/j.jclinepi.2009.07.002 · Cited by 28
Bansal, M., Farrugia, A., Balboni, S., & Martin, G. S. (2013) · Current Drug Safety · doi:10.2174/15748863113089990046 · Cited by 28
“Network meta-analytic techniques have recently been developed that estimate the relative efficacy of any number of different treatments by taking account of the entire network of RCT evidence [24-26].”
Orme, M. E., Nguyen, H. P., Lu, J., & Thomas, S. V. (2017) · Diabetes Metabolic Syndrome and Obesity · doi:10.2147/dmso.s116810 · Cited by 27
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“Network meta-analysis provides a method of assessing relative efficacy among many treatments by the use of both direct (studies which compare given treatments) and indirect (studies which share common comparators) evidence, and is a commonly used approach in human medicine (Caldwell et al., 2005; Cipriani et al., 2013…”
MethodTreatments for infantile Hemangioma: A systematic review and network meta-analysis
Fei, Q., Lin, Y., & Chen, X. (2020) · EClinicalMedicine · doi:10.1016/j.eclinm.2020.100506 · Cited by 31
“The application of network meta-analysis (NMA), which is able to synthesize the results of direct and indirect comparisons simultaneously to obtain a more accurate and precise statistical result, makes it possible to overcome the limitation [6].”
MethodSchritz, A., Aouali, N., Fischer, A., Dessenne, C., Adams, R., Berchem, G., Huiart, L., & Schmitz, S. (2021) · Neuro-Oncology Advances · doi:10.1093/noajnl/vdab052 · Cited by 27
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Caldwell, D. M., Welton, N. J., Dias, S., & Ades, A. E. (2012) · Research Synthesis Methods · doi:10.1002/jrsm.1040 · Cited by 27
“Network meta-analysis (Higgins and Whitehead, 1996; Lu and Ades, 2004; Caldwell et al., 2005; Salanti et al., 2008), also termed mixed treatment comparisons, refers to ensembles of trial evidence in which direct and indirect evidence on relative treatment effects are pooled.”
BackgroundSelf-citationRizos, E. C., Salanti, G., Kontoyiannis, D. P., & Ioannidis, J. P. A. (2011) · Journal of Clinical Epidemiology · doi:10.1016/j.jclinepi.2010.11.017 · Cited by 28
“017 efforts in this direction [1,2].”
Testing moderation in network meta‐analysis with individual participant data
Dagne, G. A., Brown, C. H., Howe, G. W., Kellam, S. G., & Liu, L. (2016) · Statistics in Medicine · doi:10.1002/sim.6883 · Cited by 28
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“C trials), even if no B versus C trials exist.(175) NWMA has become increasing popular in decision-making contexts because choosing among more than two treatments requires all pairwise treatment effects to be consistent in this way (the true treatment effects in the decision problem will always be consistent(176,177)).”
BackgroundMavranezouli, I., Megnin‐Viggars, O., Trickey, D., Meiser‐Stedman, R., Daly, C., Dias, S., Stockton, S., & Pilling, S. (2019) · Journal of Child Psychology and Psychiatry · doi:10.1111/jcpp.13142 · Cited by 27
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Antidepressants for pain management in adults with chronic pain: a network meta-analysis
Birkinshaw, H., Friedrich, C., Cole, P., Eccleston, C., Serfaty, M. A., Stewart, G. B., White, S. J., Moore, A., & Pincus, T. (2021) · Cochrane Database of Systematic Reviews · doi:10.1002/14651858.cd014682 · Cited by 28
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Graphical exploration of network meta-analysis data: the use of multidimensional scaling
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“If a network is incoherent in terms of transitivity of treatment effects, inference based on indirect comparisons may not be useful [7,8].”
BackgroundHow to Promote Bedside Placement of the Postpyloric Feeding Tube
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Critical Issues on the Use of Network Meta-analysis in Psychiatry
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Comparing antibiotic treatment for leptospirosis using network meta-analysis: a tutorial
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“As such, a conventional pairwise meta-analysis may be conducted, but the comparative effectiveness of all available interventions for a given condition will not be addressed [3].”
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“Network meta-analysis permits evaluating the comparative effectiveness of multiple interventions, even when some pairs may not have been directly compared, and has the potential to reduce the uncertainty in treatment effect estimates (8,9).”
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“Frequentist network meta-analysis was then performed to compare available treatment strategies within a single analytical framework.(19,20) For each network, the extent of heterogeneity was assessed using the maximum likelihood method.”
MethodManagement of cognitive frailty: A network meta‐analysis of randomized controlled trials
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“Alternative approaches, such as mixedtreatment comparisons or pairwise indirect comparisons (used in this review), permit indirect comparisons of drugs when no direct comparative evidence from individual clinical studies are available (28, 29).”
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“Anwendungen von Netzwerk-Metaanalysen, mit denen direkte und indirekte Evidenz erfasst und verglichen werden kann [99, 100]), in diesem Bereich zu verbessern.”
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Network Analysis of Randomized Controlled Trials in Multiple Sclerosis
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“We posited that this limitation can be overcome by performing a network meta-analysis [8], which unlike a pairwise meta-analysis, allows researchers to combine”
BackgroundKnowledge Synthesis in Evidence-Based Medicine
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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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