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Quantifying the advantages of conducting a prospective meta-analysis (PMA): a case study of early childhood obesity prevention

Authors :
Seidler, A. L.
Hunter, K. E.
Espinoza, D.
Mihrshahi, S.
Askie, L. M.
Martin, A.
Daniels, L. A.
Taylor, R.
Wen, L. M.
Campbell, Karen
Hesketh, Kylie
Rissel, C.
Taylor, B.
Magarey, A.
Baur, L. A.
Seidler, A. L.
Hunter, K. E.
Espinoza, D.
Mihrshahi, S.
Askie, L. M.
Martin, A.
Daniels, L. A.
Taylor, R.
Wen, L. M.
Campbell, Karen
Hesketh, Kylie
Rissel, C.
Taylor, B.
Magarey, A.
Baur, L. A.
Publication Year :
2021

Abstract

Background: For prospective meta-analyses (PMAs), eligible studies are identified, and the PMA hypotheses, selection criteria, and analysis methods are pre-specified before the results of any of the studies are known. This reduces publication bias and selective outcome reporting and provides a unique opportunity for outcome standardisation/harmonisation. We conducted a world-first PMA of four trials investigating interventions to prevent early childhood obesity. The aims of this study were to quantitatively analyse the effects of prospective planning on variations across trials, outcome harmonisation, and the power to detect intervention effects, and to derive recommendations for future PMA. Methods: We examined intervention design, participant characteristics, and outcomes collected across the four trials included in the EPOCH PMA using their registration records, protocol publications, and variable lists. The outcomes that trials planned to collect prior to inclusion in the PMA were compared to the outcomes that trials collected after PMA inclusion. We analysed the proportion of matching outcome definitions across trials, the number of outcomes per trial, and how collaboration increased the statistical power to detect intervention effects. Results: The included trials varied in intervention design and participants, this improved external validity and the ability to perform subgroup analyses for the meta-analysis. While individual trials had limited power to detect the main intervention effect (BMI z-score), synthesising data substantially increased statistical power. Prospective planning led to an increase in the number of collected outcome categories (e.g. weight, child’s diet, sleep), and greater outcome harmonisation. Prior to PMA inclusion, only 18% of outcome categories were included in all trials. After PMA inclusion, this increased to 91% of outcome categories. However, while trials mostly collected the same out

Details

Database :
OAIster
Notes :
8 p., English
Publication Type :
Electronic Resource
Accession number :
edsoai.on1262044317
Document Type :
Electronic Resource