ReviewBiology of sex differences2025
Three maxims for countering sex essentialism in scientific research.
Review in Biology of sex differences, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
3 citing papers in PubMed.
- The persisting presence of absence in female sex development: a critical interdisciplinary reflection.Biology of sex differences · 2026Review
- The Double Historicity of Sex and Gender.Archives of sexual behavior · 2025Article
- Rewriting women's health: a content analysis of the Trump administration's revisions to womenshealth.gov.Lancet regional health. Americas · 2025Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
13 authors.
Funding
Abstract
To explain observed disparities in health outcomes between men and women, sex essentialist approaches assign causal primacy to sex-related biology. In this essay, we present three case studies to illustrate how sex essentialism can distort human biomedical research and distill three maxims for countering this distortion: (1) engage in responsible citation practices; (2) generate and weigh alternative hypotheses for apparent observations of sex differences; (3) take care in constructing the appropriate denominator when making sex comparisons. We offer these maxims as broadly applicable standards of evidence to guide biomedical research that includes analysis of potential sex differences, as well as to support Institutional Review Boards (IRBs), funders, publishers, and peer reviewers in evaluating sex difference findings. If widely applied, these maxims would substantially improve the rigor, precision, and utility of the knowledge base of sex and gender science.
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What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.