D B Allison1, M S Faith, B S Gorman. 1. Obesity Research Center, St. Luke's/Roosevelt Hospital, Columbia University College of Physicians Surgeons, NY 10025, USA.
Abstract
OBJECTIVE: The present investigation examined the extent of publication bias (namely the tendency to publish significant findings and file away non-significant findings) within the obesity treatment literature. DESIGN: Quantitative literature synthesis of four published meta-analyses from the obesity treatment literature. Interventions in these studies included pharmacological, educational, child, and couples treatments. METHODS: To assess publication bias, several regression procedures (for example weighted least-squares, random-effects multi-level modeling, and robust regression methods) were used to regress effect sizes onto their standard errors, or proxies thereof, within each of the four meta-analysis. A significant positive beta weight in these analyses signified publication bias. RESULTS: There was evidence for publication bias within two of the four published meta-analyses, such that reviews of published studies were likely to overestimate clinical efficacy. The lack of evidence for publication bias within the two other meta-analyses might have been due to insufficient statistical power rather than the absence of selection bias. CONCLUSIONS: As in other disciplines, publication bias appears to exist in the obesity treatment literature. Suggestions are offered for managing publication bias once identified or reducing its likelihood in the first place.
OBJECTIVE: The present investigation examined the extent of publication bias (namely the tendency to publish significant findings and file away non-significant findings) within the obesity treatment literature. DESIGN: Quantitative literature synthesis of four published meta-analyses from the obesity treatment literature. Interventions in these studies included pharmacological, educational, child, and couples treatments. METHODS: To assess publication bias, several regression procedures (for example weighted least-squares, random-effects multi-level modeling, and robust regression methods) were used to regress effect sizes onto their standard errors, or proxies thereof, within each of the four meta-analysis. A significant positive beta weight in these analyses signified publication bias. RESULTS: There was evidence for publication bias within two of the four published meta-analyses, such that reviews of published studies were likely to overestimate clinical efficacy. The lack of evidence for publication bias within the two other meta-analyses might have been due to insufficient statistical power rather than the absence of selection bias. CONCLUSIONS: As in other disciplines, publication bias appears to exist in the obesity treatment literature. Suggestions are offered for managing publication bias once identified or reducing its likelihood in the first place.
Authors: S Sauerland; L Angrisani; M Belachew; J M Chevallier; F Favretti; N Finer; A Fingerhut; M Garcia Caballero; J A Guisado Macias; R Mittermair; M Morino; S Msika; F Rubino; R Tacchino; R Weiner; E A M Neugebauer Journal: Surg Endosc Date: 2004-12-02 Impact factor: 4.584
Authors: David B Allison; Josep Bassaganya-Riera; Barbara Burlingame; Andrew W Brown; Johannes le Coutre; Suzanne L Dickson; Willem van Eden; Johan Garssen; Raquel Hontecillas; Chor San H Khoo; Dietrich Knorr; Martin Kussmann; Pierre J Magistretti; Tapan Mehta; Adrian Meule; Michael Rychlik; Claus Vögele Journal: Front Nutr Date: 2015-09-08