Quantifying Sex Bias in Clinical Studies at Scale With Automated Data Extraction

@inproceedings{Feldman2019QuantifyingSB,
  title={Quantifying Sex Bias in Clinical Studies at Scale With Automated Data Extraction},
  author={Sergey Feldman and Waleed Ammar and Kyle Lo and Elly Trepman and Madeleine van Zuylen and Oren Etzioni},
  booktitle={JAMA network open},
  year={2019}
}
Importance Analyses of female representation in clinical studies have been limited in scope and scale. Objective To perform a large-scale analysis of global enrollment sex bias in clinical studies. Design, Setting, and Participants In this cross-sectional study, clinical studies from published articles from PubMed from 1966 to 2018 and records from Aggregate Analysis of ClinicalTrials.gov from 1999 to 2018 were identified. Global disease prevalence was determined for male and female… CONTINUE READING
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