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Considerations of sex as a binary variable in clinical algorithms

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.

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Correspondence to Dinushika Mohottige.

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Mohottige, D., Farouk, S., Poteat, T. et al. Considerations of sex as a binary variable in clinical algorithms. Nat Rev Nephrol 20, 347–348 (2024).

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