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Author Notes:

Donna L Maney, dmaney@emory.edu

Data curation, Investigation, Project administration, Supervision, Validation, Visualization, Writing – original draft, Writing – review and editing. Conceptualization, Data curation, Formal analysis, Funding acquisition, Investigation, Methodology, Supervision, Validation, Visualization, Writing – original draft, Writing – review and editing.

We thank Nicole Baran, Isabel Fraccaroli, and Naomi Green for assistance and suggestions in the initial stages of this project, and Chris Goode for assistance with the river plots. We are grateful to Lise Eliot, Chris Goode, Niki Woitowich, Colby Vorland, Chanaka Kahathuduwa, and an anonymous reviewer for providing comments on the manuscript.

No competing interests declared.

Subject:

Research Funding:

This paper was supported by the following grant:

Emory University Research Committee 00106050 - URC 2021-22 to Donna L Maney.

The funders had no role in study design, data collection and interpretation, or the decision to submit the work for publication.

Keywords:

  • Science & Technology
  • Life Sciences & Biomedicine
  • Biology
  • Life Sciences & Biomedicine - Other Topics
  • meta-research
  • sex inclusion
  • sex differences
  • None
  • NEUROSCIENCE
  • GENDER

Journal Title:

ELIFE

Volume:

Volume 10

Publisher:

Type of Work:

Article | Final Publisher PDF

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.

Copyright information:

© 2021, Garcia-Sifuentes and Maney

This is an Open Access work distributed under the terms of the Creative Commons Attribution 4.0 International License (https://creativecommons.org/licenses/by/4.0/rdf).
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