Considerations of sex as a binary variable in clinical algorithms

Dinushika Mohottige, Samira Farouk, Tonia Poteat, Asa Radix, Selma Feldman Witchel

Research output: Contribution to journalComment/debate

Abstract

Clinical algorithms that are used to guide medical decision-making often include sex as a variable. However, binary considerations of sex and/or gender might introduce bias due to potentially inaccurate assumptions about sex and gender-specific physiology, hormones and exposures. An equity-focused approach to sex and gender is essential when using clinical algorithms to ensure health equity across populations.

Original languageEnglish
Pages (from-to)347-348
Number of pages2
JournalNature Reviews Nephrology
Volume20
Issue number6
DOIs
StateAccepted/In press - 2024

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