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Dataset Information

Is the Best Evidence Good Enough: Quality Assessment and Factor Analysis of Meta-Analyses on Depression.


ABSTRACT:

Background

The quality of meta-analyses (MAs) on depression remains uninvestigated.

Objective

To assess the overall reporting and methodological qualities of MAs on depression and to explore potential factors influencing both qualities.

Methods

MAs investigating epidemiology and interventions for depression published in the most recent year (2014-2015) were selected from PubMed, EMBASE, PsycINFO and Cochrane Library. The characteristics of the included studies were collected and the total and per-item quality scores of the included studies were calculated based on the two checklists. Univariate and multivariate linear regression analyses were used to explore the potential factors influencing the quality of the articles.

Results

A total of 217 MAs from 74 peer-r

SUBMITTER: Zhu Y 

PROVIDER: S-EPMC4919061 | biostudies-literature | 2016

REPOSITORIES: biostudies-literature