Data integrity of 35 randomised controlled trials in women’ health

Esmée M. Bordewijk*, Rui Wang, Lisa M. Askie, Lyle C. Gurrin, Jim G. Thornton, Madelon van Wely, Wentao Li, Ben W. Mol

*Corresponding author for this work

Research output: Contribution to journalEditorialpeer-review

37 Citations (Scopus)

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.

Original languageEnglish
Pages (from-to)72-83
Number of pages12
JournalEuropean Journal of Obstetrics and Gynecology and Reproductive Biology
Volume249
Early online date11 Apr 2020
DOIs
Publication statusPublished - Jun 2020

Bibliographical note

LMA is a co-convener of the Cochrane Prospective Meta-analysis Methods Group and manager of the Australian New Zealand Clinical Trials Registry. MvW is co-oordinating editor of the Netherlands Satellite of the Cochrane Gynaecology and Fertiliy Group. BWM reports grants from NHMRC, personal fees from ObsEva, personal fees from Merck Merck KGaA, personal fees from Guerbet, personal fees from iGenomix, outside the submitted work. All other authors have no conflicts of interest.

Keywords

  • Data integrity
  • Fabricated data
  • Ovulation induction
  • Randomization
  • Research integrity
  • POLYCYSTIC-OVARY-SYNDROME
  • COMBINED METFORMIN
  • OVULATION INDUCTION
  • HORMONE AGONISTS
  • CLOMIPHENE-RESISTANT WOMEN
  • N-ACETYL CYSTEINE
  • CITRATE
  • UNEXPLAINED INFERTILITY
  • AROMATASE INHIBITORS
  • INTRAUTERINE INSEMINATION

Fingerprint

Dive into the research topics of 'Data integrity of 35 randomised controlled trials in women’ health'. Together they form a unique fingerprint.

Cite this