Rigorous control conditions diminish treatment effects in weight loss-randomized controlled trials

J. A. Dawson; K. A. Kaiser; O. Affuso; G. R. Cutter; D. B. Allison

doi:10.1038/ijo.2015.212

Rigorous control conditions diminish treatment effects in weight loss-randomized controlled trials

J. A. Dawson, K. A. Kaiser, O. Affuso, G. R. Cutter, D. B. Allison

Nutritional Sciences

Research output: Contribution to journal › Review article › peer-review

9 Scopus citations

Abstract

Background:It has not been established whether control conditions with large weight losses (WLs) diminish expected treatment effects in WL or prevention of weight gain (PWG)-randomized controlled trials (RCTs).Subjects/Methods:We performed a meta-analysis of 239 WL/PWG RCTs that include a control group and at least one treatment group. A maximum likelihood meta-analysis framework was used to model and understand the relationship between treatment effects and control group outcomes.Results:Under the informed model, an increase in control group WL of 1 kg corresponds with an expected shrinkage of the treatment effect by 0.309 kg (95% confidence interval (-0.480, -0.138), P=0.00081); this result is robust against violations of the model assumptions.Conclusions:We find that control conditions with large WLs diminish expected treatment effects. Our investigation may be helpful to clinicians as they design future WL/PWG studies.

Original language	English
Pages (from-to)	895-898
Number of pages	4
Journal	International Journal of Obesity
Volume	40
Issue number	6
DOIs	https://doi.org/10.1038/ijo.2015.212
State	Published - Jun 1 2016

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title = "Rigorous control conditions diminish treatment effects in weight loss-randomized controlled trials",

abstract = "Background:It has not been established whether control conditions with large weight losses (WLs) diminish expected treatment effects in WL or prevention of weight gain (PWG)-randomized controlled trials (RCTs).Subjects/Methods:We performed a meta-analysis of 239 WL/PWG RCTs that include a control group and at least one treatment group. A maximum likelihood meta-analysis framework was used to model and understand the relationship between treatment effects and control group outcomes.Results:Under the informed model, an increase in control group WL of 1 kg corresponds with an expected shrinkage of the treatment effect by 0.309 kg (95% confidence interval (-0.480, -0.138), P=0.00081); this result is robust against violations of the model assumptions.Conclusions:We find that control conditions with large WLs diminish expected treatment effects. Our investigation may be helpful to clinicians as they design future WL/PWG studies.",

author = "Dawson, {J. A.} and Kaiser, {K. A.} and O. Affuso and Cutter, {G. R.} and Allison, {D. B.}",

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T1 - Rigorous control conditions diminish treatment effects in weight loss-randomized controlled trials

AU - Dawson, J. A.

AU - Kaiser, K. A.

AU - Affuso, O.

AU - Cutter, G. R.

AU - Allison, D. B.

PY - 2016/6/1

Y1 - 2016/6/1

N2 - Background:It has not been established whether control conditions with large weight losses (WLs) diminish expected treatment effects in WL or prevention of weight gain (PWG)-randomized controlled trials (RCTs).Subjects/Methods:We performed a meta-analysis of 239 WL/PWG RCTs that include a control group and at least one treatment group. A maximum likelihood meta-analysis framework was used to model and understand the relationship between treatment effects and control group outcomes.Results:Under the informed model, an increase in control group WL of 1 kg corresponds with an expected shrinkage of the treatment effect by 0.309 kg (95% confidence interval (-0.480, -0.138), P=0.00081); this result is robust against violations of the model assumptions.Conclusions:We find that control conditions with large WLs diminish expected treatment effects. Our investigation may be helpful to clinicians as they design future WL/PWG studies.

AB - Background:It has not been established whether control conditions with large weight losses (WLs) diminish expected treatment effects in WL or prevention of weight gain (PWG)-randomized controlled trials (RCTs).Subjects/Methods:We performed a meta-analysis of 239 WL/PWG RCTs that include a control group and at least one treatment group. A maximum likelihood meta-analysis framework was used to model and understand the relationship between treatment effects and control group outcomes.Results:Under the informed model, an increase in control group WL of 1 kg corresponds with an expected shrinkage of the treatment effect by 0.309 kg (95% confidence interval (-0.480, -0.138), P=0.00081); this result is robust against violations of the model assumptions.Conclusions:We find that control conditions with large WLs diminish expected treatment effects. Our investigation may be helpful to clinicians as they design future WL/PWG studies.

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Rigorous control conditions diminish treatment effects in weight loss-randomized controlled trials

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