Please use this identifier to cite or link to this item: https://hdl.handle.net/2440/133106
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Type: Journal article
Title: Data integrity of 35 randomised controlled trials in women’ health
Author: Bordewijk, E.M.
Wang, R.
Askie, L.M.
Gurrin, L.C.
Thornton, J.G.
van Wely, M.
Li, W.
Mol, B.W.
Citation: European Journal of Obstetrics Gynecology and Reproductive Biology, 2020; 249:72-83
Publisher: Elsevier
Issue Date: 2020
ISSN: 0301-2115
1872-7654
Statement of
Responsibility: 
Esmée M Bordewijk, Rui Wang, Lisa M.Askie, Lyle C.Gurrin, Jim G.Thornton ... Ben W.Mol ... et al.
Abstract: While updating a systematic review on the topic of ovulation of induction, we observed unusual similarities in a number of randomised controlled trials (RCTs) published by two authors from the same institute in the same disease spectrum in a short period of time. We therefore undertook a focused analysis of the data integrity of all RCTs published by the two authors. We made pairwise comparisons to find identical or similar values in baseline characteristics and outcome tables between trials. We also assessed whether baseline characteristics were compatible with chance, using Monte Carlo simulations and Kolmogorov-Smirnov test. For 35 trials published between September 2006 and January 2016, we found a large number of similarities in both the baseline characteristics and outcomes of 26. Analysis of the baseline characteristics of the trials indicated that their distribution was unlikely to be the result of proper randomisation. The procedures demonstrated in this paper may help to assess data integrity in future attempts to verify the authenticity of published RCTs.
Keywords: Data integrity
Fabricated data
Ovulation induction
Randomization
Research integrity
Rights: © 2020 Elsevier B.V. All rights reserved.
DOI: 10.1016/j.ejogrb.2020.04.016
Grant ID: NHMRC
Published version: http://dx.doi.org/10.1016/j.ejogrb.2020.04.016
Appears in Collections:Obstetrics and Gynaecology publications

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