Literature DB >> 33296517

Confounding and bias in observational studies in inflammatory bowel disease: a meta-epidemiological study.

Daniele Piovani1,2, Claudia Pansieri1,2, Laurent Peyrin-Biroulet3, Silvio Danese1,2, Stefanos Bonovas1,2.   

Abstract

BACKGROUND: Observational research concerning inflammatory bowel disease (IBD) is highly susceptible to spurious findings because of confounding and bias. AIM: To investigate how these issues were reported in this research field.
METHODS: We identified and appraised a random sample of 160 observational studies concerning IBD published in high-impact gastroenterology journals and the most respected specialty journals of the condition. We applied a standardised methodology to assess how confounding and bias were reported and discussed, and investigated the association between yearly citations and study characteristics using mixed-effect multivariable regression analysis.
RESULTS: The authors of 67 out of 160 articles (41.9%) mentioned confounding, and in 89 cases (55.6%) reported any bias. Although most authors applied strategies to minimise confounding or bias (n = 139; 86.9%) and acknowledged at least one unadjusted confounder (n = 116; 72.5%), a minority commented about whether the main findings could have been affected (n = 60; 37.5%). Very few authors (n = 7; 4.4%) called for caution in interpreting the results in the discussion. Reporting of confounding and bias was particularly lacking for case-control studies, those not using routinely collected data, those employing laboratory analyses as the primary method of assessment and studies investigating non-modifiable exposures. In adjusted analyses, mentioning or alluding to confounding was positively associated with yearly citations (P = 0.010), whereas calling for a cautious interpretation of the findings was not.
CONCLUSIONS: Reporting of confounding is inadequate and its acknowledgement is often neglected in interpreting high-impact observational research in IBD. These results encourage a more careful evaluation of the consequences of confounding and bias.
© 2020 John Wiley & Sons Ltd.

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Year:  2020        PMID: 33296517     DOI: 10.1111/apt.16222

Source DB:  PubMed          Journal:  Aliment Pharmacol Ther        ISSN: 0269-2813            Impact factor:   8.171


  1 in total

1.  Mendelian Randomization Rules Out Causation Between Inflammatory Bowel Disease and Non-Alcoholic Fatty Liver Disease.

Authors:  Lanlan Chen; Zhongqi Fan; Xiaodong Sun; Wei Qiu; Yuguo Chen; Jianpeng Zhou; Guoyue Lv
Journal:  Front Pharmacol       Date:  2022-05-19       Impact factor: 5.988

  1 in total

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