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An assessment of the methodological quality of published network meta-analyses: a systematic review. PLoS One 2015;10(4):e0121715

Date

04/30/2015

Pubmed ID

25923737

Pubmed Central ID

PMC4414531

DOI

10.1371/journal.pone.0121715

Abstract

OBJECTIVE: To assess the methodological quality of published network meta-analysis.

DESIGN: Systematic review.

METHODS: We searched the medical literature for network meta-analyses of pharmaceuticals. We assessed general study characteristics, study transparency and reproducibility, methodological approach, and reporting of findings. We compared studies published in journals with lower impact factors with those published in journals with higher impact factors, studies published prior to January 1st, 2013 with those published after that date, and studies supported financially by industry with those supported by non-profit institutions or that received no support.

RESULTS: The systematic literature search identified 854 citations. Three hundred and eighteen studies met our inclusion criteria. The number of network meta-analyses has grown rapidly, with 48% of studies published since January 2013. The majority of network meta-analyses were supported by a non-profit institution or received no support (68%). We found considerable inconsistencies among reviewed studies. Eighty percent reported search terms, 61% a network diagram, 65% sufficient data to replicate the analysis, and 90% the characteristics of included trials. Seventy percent performed a risk of bias assessment of included trials, 40% an assessment of model fit, and 56% a sensitivity analysis. Among studies with a closed loop, 69% examined the consistency of direct and indirect evidence. Sixty-four percent of studies presented the full matrix of head-to-head treatment comparisons. For Bayesian studies, 41% reported the probability that each treatment was best, 31% reported treatment ranking, and 16% included the model code or referenced publicly-available code. Network meta-analyses published in higher impact factors journals and those that did not receive industry support performed better across the assessment criteria. We found few differences between older and newer studies.

CONCLUSIONS: There is substantial variation in the network meta-analysis literature. Consensus among guidelines is needed improve the methodological quality, transparency, and consistency of study conduct and reporting.

Author List

Chambers JD, Naci H, Wouters OJ, Pyo J, Gunjal S, Kennedy IR, Hoey MG, Winn A, Neumann PJ

Author

Aaron Winn PhD Assistant Professor in the School of Pharmacy Administration department at Medical College of Wisconsin




MESH terms used to index this publication - Major topics in bold

Journal Impact Factor
Meta-Analysis as Topic
Reproducibility of Results
Statistics as Topic
jenkins-FCD Prod-482 91ad8a360b6da540234915ea01ff80e38bfdb40a