Literature DB >> 30145325

Sample size calculations are poorly conducted and reported in many randomized trials of hip and knee osteoarthritis: results of a systematic review.

Bethan Copsey1, Jacqueline Y Thompson2, Karan Vadher2, Usama Ali2, Susan J Dutton2, Raymond Fitzpatrick3, Sarah E Lamb2, Jonathan A Cook2.   

Abstract

OBJECTIVES: To review the methodology and reporting of sample size calculations in a contemporary sample of trials in osteoarthritis. STUDY DESIGN AND
SETTING: Randomized trials in hip and/or knee osteoarthritis published in 2016 were identified by searching MEDLINE, Cochrane library, CINAHL, EMBASE, PsycINFO, PEDro, and AMED until March 31, 2017. Data were extracted on study characteristics, methods used to calculate the sample size, and the reporting and justification of components used in the sample size calculation. We attempted to replicate the sample size calculation using the reported information.
RESULTS: This review included 116 trials. Seventy-eight (67%, n = 78/116) reported a power calculation. Less than a quarter reported all core components of the sample size calculation (21%, n = 16/78). The sample size calculation was only reproducible in 53% of the trials that reported a power calculation (n = 41/78). The replicated calculation produced a sample size over 10% larger than the reported value in 12% of trials (n = 9/78). Insufficient information was reported to allow the sample size calculation to be replicated in a quarter of trials (27%, n = 21/78).
CONCLUSION: Sample size calculations in trials of hip and knee osteoarthritis are not adequately reported, and the calculation frequently cannot be reproduced.
Copyright © 2018 The Authors. Published by Elsevier Inc. All rights reserved.

Entities:  

Keywords:  Clinical trial; Osteoarthritis; Reporting; Research methods; Sample size; Systematic review

Mesh:

Year:  2018        PMID: 30145325     DOI: 10.1016/j.jclinepi.2018.08.013

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


  2 in total

Review 1.  Review of pragmatic trials found that multiple primary outcomes are common but so too are discrepancies between protocols and final reports.

Authors:  Pascale Nevins; Shelley Vanderhout; Kelly Carroll; Stuart G Nicholls; Seana N Semchishen; Jamie C Brehaut; Dean A Fergusson; Bruno Giraudeau; Monica Taljaard
Journal:  J Clin Epidemiol       Date:  2021-12-08       Impact factor: 7.407

Review 2.  Current practice in analysing and reporting binary outcome data-a review of randomised controlled trial reports.

Authors:  Ines Rombach; Ruth Knight; Nicholas Peckham; Jamie R Stokes; Jonathan A Cook
Journal:  BMC Med       Date:  2020-06-08       Impact factor: 8.775

  2 in total

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