Impact of risk of generalizability biases in adult obesity interventions: A meta-epidemiological review and meta-analysis.

ABSTRACT: Biases introduced in early-stage studies can lead to inflated early discoveries. The risk of generalizability biases (RGBs) identifies key features of feasibility studies that, when present, lead to reduced impact in a larger trial. This meta-study examined the influence of RGBs in adult obesity interventions. Behavioral interventions with a published feasibility study and a larger scale trial of the same intervention (e.g., pairs) were identified. Each pair was coded for the presence of RGBs. Quantitative outcomes were extracted. Multilevel meta-regression models were used to examine the impact of RGBs on the difference in the effect size (ES, standardized mean difference) from pilot to larger scale trial. A total of 114 pairs, representing 230 studies, were identified. Overall, 75% of th

SUBMITTER: Beets MW 

PROVIDER: S-EPMC8755584 | biostudies-literature | 2022 Feb

REPOSITORIES: biostudies-literature