Literature DB >> 15465620

Ensuring the comparability of comparison groups: is randomization enough?

Vance W Berger1, Sherri Weinstein.   

Abstract

BACKGROUND: It is widely believed that baseline imbalances in randomized trials must necessarily be random. In fact, there is a type of selection bias that can cause substantial, systematic and reproducible baseline imbalances of prognostic covariates even in properly randomized trials. It is possible, given complete data, to quantify both the susceptibility of a given trial to this type of selection bias and the extent to which selection bias appears to have caused either observable or unobservable baseline imbalances. Yet, in articles reporting on randomized trials, it is uncommon to find either these assessments or the information that would enable a reader to conduct them. Nevertheless, there have been a few published reports that contain descriptions of either this type of selection bias or indicators that it may have occurred.
OBJECTIVE: To document that the same type of selection bias has been described in numerous randomized trials and therefore that it represents a problem deserving of greater attention. STUDY SELECTION: Computerized searches were not useful in locating trials with one or more elements that contribute to or are indicative of selection bias in randomized trials. We limit our treatment to trials that were previously questioned for susceptibility to selection bias or for large baseline imbalances.
RESULTS: We found 14 randomized trials that appear to be suspicious for selection bias. This may represent only the tip of the iceberg, because the status of other trials is inconclusive.
CONCLUSIONS: Authors of clinical trial reports should be required to disclose sufficient details to allow for an assessment of both allocation concealment and selection bias. The extent to which a randomized study was susceptible to selection bias should be considered in determining the relative contribution it makes to any subsequent meta-analysis, policy or decision.

Mesh:

Year:  2004        PMID: 15465620     DOI: 10.1016/j.cct.2004.04.001

Source DB:  PubMed          Journal:  Control Clin Trials        ISSN: 0197-2456


  14 in total

1.  Identifying items to assess methodological quality in physical therapy trials: a factor analysis.

Authors:  Susan Armijo-Olivo; Greta G Cummings; Jorge Fuentes; Humam Saltaji; Christine Ha; Annabritt Chisholm; Dion Pasichnyk; Todd Rogers
Journal:  Phys Ther       Date:  2014-05-01

Review 2.  Guidelines for the Reporting of Treatment Trials for Alcohol Use Disorders.

Authors:  Katie Witkiewitz; John W Finney; Alex H S Harris; Daniel R Kivlahan; Henry R Kranzler
Journal:  Alcohol Clin Exp Res       Date:  2015-08-11       Impact factor: 3.455

3.  What does biostatistics mean to us.

Authors:  Vance W Berger; J Rosser Matthews
Journal:  Mens Sana Monogr       Date:  2006-01

Review 4.  Self-medication of migraine and tension-type headache: summary of the evidence-based recommendations of the Deutsche Migräne und Kopfschmerzgesellschaft (DMKG), the Deutsche Gesellschaft für Neurologie (DGN), the Österreichische Kopfschmerzgesellschaft (ÖKSG) and the Schweizerische Kopfwehgesellschaft (SKG).

Authors:  Gunther Haag; Hans-Christoph Diener; Arne May; Christian Meyer; Hartmut Morck; Andreas Straube; Peter Wessely; Stefan Evers
Journal:  J Headache Pain       Date:  2010-12-23       Impact factor: 7.277

5.  The feasibility of Whole Body Vibration in institutionalised elderly persons and its influence on muscle performance, balance and mobility: a randomised controlled trial [ISRCTN62535013].

Authors:  Ivan Bautmans; Ellen Van Hees; Jean-Claude Lemper; Tony Mets
Journal:  BMC Geriatr       Date:  2005-12-22       Impact factor: 3.921

Review 6.  Risk of selection bias in randomised trials.

Authors:  Brennan C Kahan; Sunita Rehal; Suzie Cro
Journal:  Trials       Date:  2015-09-10       Impact factor: 2.279

7.  Randomization Does Not Help Much, Comparability Does.

Authors:  Uwe Saint-Mont
Journal:  PLoS One       Date:  2015-07-20       Impact factor: 3.240

8.  How should we evaluate the risk of bias of physical therapy trials?: a psychometric and meta-epidemiological approach towards developing guidelines for the design, conduct, and reporting of RCTs in Physical Therapy (PT) area: a study protocol.

Authors:  Susan Armijo-Olivo; Jorge Fuentes; Todd Rogers; Lisa Hartling; Humam Saltaji; Greta G Cummings
Journal:  Syst Rev       Date:  2013-09-26

Review 9.  Influence on Adiposity and Atherogenic Lipaemia of Fatty Meals and Snacks in Daily Life.

Authors:  Antonio Laguna-Camacho
Journal:  J Lipids       Date:  2017-06-19

10.  Mechanisms and direction of allocation bias in randomised clinical trials.

Authors:  Asger Paludan-Müller; David Ruben Teindl Laursen; Asbjørn Hróbjartsson
Journal:  BMC Med Res Methodol       Date:  2016-10-07       Impact factor: 4.615

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