Deficiencies in addressing effect modification in network meta-analyses: a meta-epidemiological survey.

Abstract:

OBJECTIVE:The objectives of this study were to evaluate the current state of reporting and handling of effect modification in network meta-analyses (NMAs) and perform exploratory analyses to identify variables that are potentially associated with incomplete reporting of effect modifiers in NMAs. STUDY DESIGN AND SETTING:We conducted a meta-epidemiological survey using a systematic review of NMAs published in 2013 and identified through MEDLINE and Embase databases. RESULTS:The review identified 77 NMAs. The most common type of effect modifiers identified and explored were patient characteristics (50.7% or 39/77), and the most common adjustment method used was sensitivity analysis (51.7% or 30/58). Over 45% (35/77) of studies did not describe a plan, nearly 40% (30/77) did not report the results of analyses, and approximately 47% (36/77) of studies had incomplete reporting. Exploratory univariate regression analyses yielded a statistically significant association for the variables of journal impact factor, ratio of randomized controlled trials to number of comparisons, and total number of randomized controlled trials. CONCLUSION:Current reporting practices are largely deficient, given that almost half of identified published NMAs do not explore or report effect modification. Journal impact factor and amount of available information in a network were associated with completeness of reporting.

journal_name

J Clin Epidemiol

authors

Kovic B,Zoratti MJ,Michalopoulos S,Silvestre C,Thorlund K,Thabane L

doi

10.1016/j.jclinepi.2017.06.004

subject

Has Abstract

pub_date

2017-08-01 00:00:00

pages

47-56

eissn

0895-4356

issn

1878-5921

pii

S0895-4356(16)30323-7

journal_volume

88

pub_type

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