Literature DB >> 19716262

A substantial and confusing variation exists in handling of baseline covariates in randomized controlled trials: a review of trials published in leading medical journals.

Peter C Austin1, Andrea Manca, Merrick Zwarenstein, David N Juurlink, Matthew B Stanbrook.   

Abstract

OBJECTIVE: Statisticians have criticized the use of significance testing to compare the distribution of baseline covariates between treatment groups in randomized controlled trials (RCTs). Furthermore, some have advocated for the use of regression adjustment to estimate the effect of treatment after adjusting for potential imbalances in prognostically important baseline covariates between treatment groups. STUDY DESIGN AND
SETTING: We examined 114 RCTs published in the New England Journal of Medicine, the Journal of the American Medical Association, The Lancet, and the British Medical Journal between January 1, 2007 and June 30, 2007.
RESULTS: Significance testing was used to compare baseline characteristics between treatment arms in 38% of the studies. The practice was very rare in British journals and more common in the U.S. journals. In 29% of the studies, the primary outcome was continuous, whereas in 65% of the studies, the primary outcome was either dichotomous or time-to-event in nature. Adjustment for baseline covariates was reported when estimating the treatment effect in 34% of the studies.
CONCLUSIONS: Our findings suggest the need for greater editorial consistency across journals in the reporting of RCTs. Furthermore, there is a need for greater debate about the relative merits of unadjusted vs. adjusted estimates of treatment effect. Copyright 2010 Elsevier Inc. All rights reserved.

Entities:  

Mesh:

Year:  2009        PMID: 19716262     DOI: 10.1016/j.jclinepi.2009.06.002

Source DB:  PubMed          Journal:  J Clin Epidemiol        ISSN: 0895-4356            Impact factor:   6.437


  66 in total

1.  Testing for baseline balance: can we finally get it right?

Authors:  Vance W Berger
Journal:  J Clin Epidemiol       Date:  2010-04-24       Impact factor: 6.437

2.  Covariate adjustment increased power in randomized controlled trials: an example in traumatic brain injury.

Authors:  Elizabeth L Turner; Pablo Perel; Tim Clayton; Phil Edwards; Adrian V Hernández; Ian Roberts; Haleema Shakur; Ewout W Steyerberg
Journal:  J Clin Epidemiol       Date:  2011-12-09       Impact factor: 6.437

3.  Estimating multilevel logistic regression models when the number of clusters is low: a comparison of different statistical software procedures.

Authors:  Peter C Austin
Journal:  Int J Biostat       Date:  2010-04-22       Impact factor: 0.968

4.  Adaptive pre-specification in randomized trials with and without pair-matching.

Authors:  Laura B Balzer; Mark J van der Laan; Maya L Petersen
Journal:  Stat Med       Date:  2016-07-19       Impact factor: 2.373

5.  Do counselor techniques predict quitting during smoking cessation treatment? A component analysis of telephone-delivered Acceptance and Commitment Therapy.

Authors:  Roger Vilardaga; Jaimee L Heffner; Laina D Mercer; Jonathan B Bricker
Journal:  Behav Res Ther       Date:  2014-08-07

6.  Minimal sufficient balance-a new strategy to balance baseline covariates and preserve randomness of treatment allocation.

Authors:  Wenle Zhao; Michael D Hill; Yuko Palesch
Journal:  Stat Methods Med Res       Date:  2012-01-26       Impact factor: 3.021

7.  Statistical testing for baseline differences between randomised groups is not meaningful.

Authors:  L A Harvey
Journal:  Spinal Cord       Date:  2018-10       Impact factor: 2.772

Review 8.  A tutorial on methods to estimating clinically and policy-meaningful measures of treatment effects in prospective observational studies: a review.

Authors:  Peter C Austin; Andreas Laupacis
Journal:  Int J Biostat       Date:  2011-01-06       Impact factor: 0.968

Review 9.  Lessons Learned from EVOLVE for Planning of Future Randomized Trials in Patients on Dialysis.

Authors:  Patrick S Parfrey; Geoffrey A Block; Ricardo Correa-Rotter; Tilman B Drüeke; Jürgen Floege; Charles A Herzog; Gerard M London; Kenneth W Mahaffey; Sharon M Moe; David C Wheeler; Glenn M Chertow
Journal:  Clin J Am Soc Nephrol       Date:  2015-11-27       Impact factor: 8.237

Review 10.  Reporting on covariate adjustment in randomised controlled trials before and after revision of the 2001 CONSORT statement: a literature review.

Authors:  Ly-Mee Yu; An-Wen Chan; Sally Hopewell; Jonathan J Deeks; Douglas G Altman
Journal:  Trials       Date:  2010-05-18       Impact factor: 2.279

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