Improving the transparency of meta-analyses with interactive web applications.

ABSTRACT: Increased transparency in study design and analysis is one proposed solution to the perceived reproducibility crisis facing science. Systematic review and meta-analysis-through which individual studies on a specific association are ascertained, assessed for quality and quantitatively combined-is a critical process for building consensus in medical research. However, the conventional publication model creates static evidence summaries that force the quality assessment criteria and analytical choices of a small number of authors onto all stakeholders, some of whom will have different views on the quality assessment and key features of the analysis. This leads to discordant inferences from meta-analysis results and delayed arrival at consensus. We propose a shift to interactive meta-analysis,

SUBMITTER: Ahern TP 

PROVIDER: S-EPMC7530078 | biostudies-literature | 2021 Dec

REPOSITORIES: biostudies-literature