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Indirect Treatment Comparison/Network Meta-Analysis Study Questionnaire to Assess Relevance and Credibility to Inform Health Care Decision Making: An ISPOR-AMCP-NPC Good Practice Task Force Report

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Jansen, Jeroen P., Trikalinos, Thomas, Cappelleri, Joseph C., Daw, Jessica, Andes, Sherry, Eldessouki, Randa, Salanti, Georgia·2014·Value in Health

DOI 10.1016/j.jval.2014.01.004

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Abstract

Despite the great realized or potential value of network meta-analysis of randomized controlled trial evidence to inform health care decision making, many decision makers might not be familiar with these techniques. The Task Force developed a consensus-based 26-item questionnaire to help decision makers assess the relevance and credibility of indirect treatment comparisons and network meta-analysis to help inform health care decision making. The relevance domain of the questionnaire (4 questions) calls for assessments about the applicability of network meta-analysis results to the setting of interest to the decision maker. The remaining 22 questions belong to an overall credibility domain and pertain to assessments about whether the network meta-analysis results provide a valid answer to the question they are designed to answer by examining 1) the used evidence base, 2) analysis methods, 3) reporting quality and transparency, 4) interpretation of findings, and 5) conflicts of interest. The questionnaire aims to help readers of network meta-analysis opine about their confidence in the credibility and applicability of the results of a network meta-analysis, and help make decision makers aware of the subtleties involved in the analysis of networks of randomized trial evidence. It is anticipated that user feedback will permit periodic evaluation and modification of the questionnaire.

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Preferred Reporting Items for Systematic Reviews and Meta-Analyses: the PRISMA statement
Moher, D., Liberati, A., Tetzlaff, J., Altman, D. G., & for the PRISMA Group (2009) · BMJ · doi:10.1136/bmj.b2535 · Cited by 83,823
Preferred reporting items for systematic reviews and meta-analyses: the PRISMA Statement.
(2009) · PubMed Central · Cited by 44,859
Preferred reporting items for systematic reviews and meta-analyses: The PRISMA statement
Moher, D., Liberati, A., Tetzlaff, J., Altman, D. G., & the PRISMA Group* (2009) · Annals of Internal Medicine · doi:10.7326/0003-4819-151-4-200908180-00135 · Cited by 37,554
The Cochrane Collaboration's tool for assessing risk of bias in randomised trials
Higgins, J. P. T., Altman, D. G., Gotzsche, P. C., Juni, P., Moher, D., Oxman, A. D., Savovic, J., Schulz, K. F., Weeks, L., Sterne, J. A. C., et al. (2011) · BMJ · doi:10.1136/bmj.d5928 · Cited by 33,817
Bayesian Data Analysis
Gelman, A., Carlin, J. B., Stern, H. S., & Rubin, D. B. (2003) · doi:10.1201/9780429258480 · Cited by 27,276
GRADE: an emerging consensus on rating quality of evidence and strength of recommendations
Guyatt, G. H., Oxman, A. D., Vist, G. E., Kunz, R., Falck-Ytter, Y., Alonso-Coello, P., & Schünemann, H. J. (2008) · BMJ · doi:10.1136/bmj.39489.470347.ad · Cited by 23,305
Graphical methods and numerical summaries for presenting results from multiple-treatment meta-analysis: an overview and tutorial
Salanti, 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-citation
How should meta‐regression analyses be undertaken and interpreted?
Thompson, S. G., & Higgins, J. P. T. (2002) · Statistics in Medicine · doi:10.1002/sim.1187 · Cited by 3,026
Bayesian Data Analysis, 2nd edn
Brix, A. (2005) · Journal of the Royal Statistical Society Series A (Statistics in Society) · doi:10.1111/j.1467-985x.2004.00347_4.x · Cited by 2,588
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×
“[32] Dias S, Welton NJ, Caldwell DM, Ades AE.”
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References
Dias, S., Ades, A. E., Welton, N. J., Jansen, J. P., & Sutton, A. J. (2018) · Wiley eBooks · doi:10.1002/9781118951651.refs
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References
Kay, R. (2023) · doi:10.1002/9781119867418.refs
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Ashi, H. M., & Khurshid, Z. (2025) · European Journal of Dentistry · doi:10.1055/s-0044-1801304
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Wang, P., Zhang, Y., Xu, W., He, J., Peng, L., Feng, Y., Xu, P., Chong, W., Hai, Y., Jia, L., et al. (2024) · Figshare · doi:10.6084/m9.figshare.24940445
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Daly, C., Mbuagbaw, L., Thabane, L., Straus, S. E., & Hamid, J. S. (2020) · Figshare · doi:10.6084/m9.figshare.13161372
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Authors: Jansen, J. P., Trikalinos, T., Cappelleri, J. C., Daw, J., Andes, S., Eldessouki, R., & Salanti, G.
Affiliations: Tufts University (US)
Brown University (US)
Pfizer (United States) (US)
UPMC Health System (US)
Fayoum University (EG)
University of Ioannina (GR)
Corresponding author: Jansen, Jeroen P.
ORCID: Jansen, Jeroen P.
Trikalinos, Thomas
Cappelleri, Joseph C.
Andes, Sherry
Eldessouki, Randa
Salanti, Georgia
Venue: Value in Health
Publisher: Elsevier BV
Published: 2014-03
Volume: 17
Issue: 2
Pages: 157-173
ISSN: 1098-3015 (ISSN-L)
DOI: 10.1016/j.jval.2014.01.004
OpenAlex: W2035613798
Cited by: 319
References: 38
Citations by year: 2026: 15 · 2025: 17 · 2024: 28 · 2023: 20 · 2022: 22 · 2021: 22 · 2020: 36 · 2019: 17 · 2018: 36 · 2017: 30 · 2016: 39 · 2015: 27 · 2014: 10
FWCI: 34.46
Type: journal article
Language: en
Open access: bronze
doi.org
Licence: www.elsevier.com/tdm/userlicense/1.0/ (tdm)
www.elsevier.com/open-access/userlicense/1.0/ (vor, 556 d)
Locations: Value in Health (publishedVersion)
PubMed (publishedVersion)
Topics: Social Sciences › Decision Sciences › Statistics, Probability and Uncertainty › Meta-analysis and systematic reviews
Social Sciences › Economics, Econometrics and Finance › Economics and Econometrics › Health Systems, Economic Evaluations, Quality of Life
Social Sciences › Sociology and Political Science › Delphi Technique in Research
Keywords: network meta-analysis, indirect treatment comparison, healthcare decision-making, credibility assessment, applicability, reporting quality, transparency, conflicts of interest, randomized controlled trials
MeSH terms: Decision Making, Delivery of Health Care, Humans, Surveys and Questionnaires, Research Design, Meta-Analysis as Topic, Randomized Controlled Trials as Topic, Evidence-Based Medicine, Advisory Committees, Internationality

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Indirect Treatment Comparison/Network Meta-Analysis Study Questionnaire to Assess Relevance and Credibility to Inform Health Care Decision Making: An ISPOR-AMCP-NPC Good Practice Task Force Report

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