Publication

Reporting and misreporting of sex differences in the biological sciences

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Last modified
  • 07/08/2025
Type of Material
Authors
    Yesenia Garcia-Sifuentes, Emory UniversityDonna Maney, Emory University
Language
  • English
Date
  • 2021-11-02
Publisher
  • eLIFE SCIENCES PUBL LTD
Publication Version
Copyright Statement
  • © 2021, Garcia-Sifuentes and Maney
License
Final Published Version (URL)
Title of Journal or Parent Work
Volume
  • 10
Grant/Funding Information
  • The funders had no role in study design, data collection and interpretation, or the decision to submit the work for publication.
  • Emory University Research Committee 00106050 - URC 2021-22 to Donna L Maney.
  • This paper was supported by the following grant:
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Abstract
  • As part of an initiative to improve rigor and reproducibility in biomedical research, the U.S. National Institutes of Health now requires the consideration of sex as a biological variable in preclinical studies. This new policy has been interpreted by some as a call to compare males and females with each other. Researchers testing for sex differences may not be trained to do so, however, increasing risk for misinterpretation of results. Using a list of recently published articles curated by Woitowich et al. (eLife, 2020; 9:e56344), we examined reports of sex differences and non-differences across nine biological disciplines. Sex differences were claimed in the majority of the 147 articles we analyzed; however, statistical evidence supporting those differences was often missing. For example, when a sex-specific effect of a manipulation was claimed, authors usually had not tested statistically whether females and males responded differently. Thus, sex-specific Effects may be over-reported. In contrast, we also encountered practices that could mask sex differences, such as pooling the sexes without first testing for a difference. Our findings support the need for continuing efforts to train researchers how to test for and report sex differences in order to promote rigor and reproducibility in biomedical research.
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Keywords
Research Categories
  • Psychology, General

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