Construction and performance of a clinical prediction rule for ureteral stone without the use of race or ethnicity: A new STONE score
We modified the STONE score to remove race and include "obvious hematuria" without losing clinical accuracy. Considering the potential adverse effects of propagating racial bias in clinical algorithms, we recommend using the revised STONE score. Future research could investigate the potential contributions of social drivers of health (SDOH) to the diagnosis of kidney stone.
Authors
- Dinesh Singh (ORCID: https://orcid.org/0000-0003-4927-4347)
- Louis Hart
- Annette M. Molinaro (ORCID: https://orcid.org/0000-0002-9854-7404)
- Cristiana Baloescu (ORCID: https://orcid.org/0000-0001-7012-1260)
- Christopher Moore (ORCID: https://orcid.org/0000-0003-3149-1140)
- Cary P. Gross (ORCID: https://orcid.org/0000-0002-4974-935X)
- Deborah J. Rhodes (ORCID: https://orcid.org/0000-0003-4408-6451)
Institutions
- University of California, San Francisco (US)
- Yale University (US)
- Neurological Surgery (US)
Publication Details
- Journal
- Journal of the American College of Emergency Physicians Open
- Published
- 2024-11-08
- DOI
- https://doi.org/10.1002/emp2.13324
- Citations
- 2
- Primary Topic
- Kidney Stones and Urolithiasis Treatments
- Type
- article
- Field-Weighted Citation Impact
- 0.84
Funders
- Agency for Healthcare Research and Quality