Ontology highlight
ABSTRACT: Purpose
To assess the overall quality of published urological meta-analyses and identify predictive factors for high quality.Materials and methods
We systematically searched PubMed to identify meta-analyses published from January 1st, 2011 to December 31st, 2015 in 10 predetermined major paper-based urology journals. The characteristics of the included meta-analyses were collected, and their reporting and methodological qualities were assessed by the PRISMA checklist (27 items) and AMSTAR tool (11 items), respectively. Descriptive statistics were used for individual items as a measure of overall compliance, and PRISMA and AMSTAR scores were calculated as the sum of adequately reported domains. Logistic regression was used to identify predictive factors for high qualities.
SUBMITTER: Xia L
PROVIDER: S-EPMC5399869 | biostudies-literature | 2017
REPOSITORIES: biostudies-literature