Empirical Comparison of Univariate and Multivariate Meta-Analyses in Cochrane Pregnancy and Childbirth Reviews with Multiple Binary Outcomes

Autor/inn/en	Price, Malcolm J.; Blake, Helen A.; Kenyon, Sara; White, Ian R.; Jackson, Dan; Kirkham, Jamie J.; Neilson, James P.; Deeks, Jonathan J.; Riley, Richard D.
Titel	Empirical Comparison of Univariate and Multivariate Meta-Analyses in Cochrane Pregnancy and Childbirth Reviews with Multiple Binary Outcomes
Quelle	In: Research Synthesis Methods, 10 (2019) 3, S.440-451 (12 Seiten)Infoseite zur Zeitschrift PDF als Volltext Verfügbarkeit
Zusatzinformation	ORCID (Price, Malcolm J.) ORCID (Blake, Helen A.) ORCID (Jackson, Dan) ORCID (Riley, Richard D.)
Sprache	englisch
Dokumenttyp	gedruckt; online; Zeitschriftenaufsatz
ISSN	1759-2879
DOI	10.1002/jrsm.1353
Schlagwörter	Comparative Analysis; Medical Research; Correlation; Meta Analysis; Pregnancy; Birth; Research Reports; Factor Analysis; Intervention; Outcomes of Treatment + Suchen Sie Ihr Suchwort? Korrelation; Meta-analysis; Metaanalyse; Schwangerschaft; Geburt; Research report; Forschungsbericht; Faktorenanalyse
Abstract	Background: Multivariate meta-analysis (MVMA) jointly synthesizes effects for multiple correlated outcomes. The MVMA model is potentially more difficult and time-consuming to apply than univariate models, so if its use makes little difference to parameter estimates, it could be argued that it is redundant. Methods: We assessed the applicability and impact of MVMA in Cochrane Pregnancy and Childbirth (CPCB) systematic reviews. We applied MVMA to CPCB reviews published between 2011 and 2013 with two or more binary outcomes with at least three studies and compared findings with results of univariate meta-analyses. Univariate random effects meta-analysis models were fitted using restricted maximum likelihood estimation (REML). Results: Eighty CPCB reviews were published. MVMA could not be applied in 70 of these reviews. MVMA was not feasible in three of the remaining 10 reviews because the appropriate models failed to converge. Estimates from MVMA agreed with those of univariate analyses in most of the other seven reviews. Statistical significance changed in two reviews: In one, this was due to a very small change in P value; in the other, the MVMA result for one outcome suggested that previous univariate results may be vulnerable to small-study effects and that the certainty of clinical conclusions needs consideration. Conclusions: MVMA methods can be applied only in a minority of reviews of interventions in pregnancy and childbirth and can be difficult to apply because of missing correlations or lack of convergence. Nevertheless, clinical and/or statistical conclusions from MVMA may occasionally differ from those from univariate analyses. (As Provided).
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Erfasst von	ERIC (Education Resources Information Center), Washington, DC
Update	2024/1/01