The DOI matches its Crossref record; 22 of the 24 references it cites were found in a registry or an index.
Challenging the Use of Race in the Vaginal Birth after Cesarean Section Calculator
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“Some algorithm developers offer no explanation of why racial or ethnic differences might exist.Others offer rationales, but when these are traced to their origins, they lead to outdated, suspect racial science or to biased data.22,30,31”
From Hidden in Plain Sight — Reconsidering the Use of Race Correction in Clinical Algorithms (2020) · cites this paper as [30]
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“troubling because black people already have higher rates of maternal mortality.30”
From Hidden in Plain Sight — Reconsidering the Use of Race Correction in Clinical Algorithms (2020) · cites this paper as [30]
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Cites
The Simons Genome Diversity Project: 300 genomes from 142 diverse populations
Mallick, S., Li, H., Lipson, M., Mathieson, I., Gymrek, M., Racimo, F., Zhao, M., Chennagiri, N., Nordenfelt, S., Tandon, A., et al. (2016) · Nature · doi:10.1038/nature18964 · Cited by 1,584
Development of a Nomogram for Prediction of Vaginal Birth After Cesarean Delivery
Grobman, W. A., Lai, Y., Landon, M. B., Spong, C. Y., Leveno, K. J., Rouse, D. J., Varner, M. W., Moawad, A. H., Caritis, S. N., Harper, M., et al. (2007) · Obstetrics & Gynecology · doi:10.1097/01.aog.0000259312.36053.02 · Cited by 498
Landon, M. B., Leindecker, S., Spong, C. Y., Hauth, J. C., Bloom, S., Varner, M. W., Moawad, A. H., Caritis, S. N., Harper, M., Wapner, R. J., et al. (2005) · American Journal of Obstetrics and Gynecology · doi:10.1016/j.ajog.2005.05.066 · Cited by 464
Anatomical variations in the female pelvis and their effect in labor with a suggested classification
Caldwell, W. E., & Moloy, H. C. (1933) · American Journal of Obstetrics and Gynecology · doi:10.1016/s0002-9378(33)90194-5 · Cited by 306
Yang, Y. T., Mello, M. M., Subramanian, S. V., & Studdert, D. M. (2009) · Medical Care · doi:10.1097/mlr.0b013e31818475de · Cited by 213
Curtin, S. C., Gregory, K. D., Korst, L. M., & Uddin, S. G. (2015) · PubMed · Cited by 155
Racial Differences in the Structure and Function of the Stress Urinary Continence Mechanism
Howard, D., DELANCEY, J. O. L., TUNN, R., & ASHTON-MILLER, J. A. (2000) · Obstetrics and Gynecology · doi:10.1016/s0029-7844(00)00786-9 · Cited by 120
The ambiguous meanings of the racial/ethnic categories routinely used in human genetics research
Hunt, L. M., & Megyesi, M. S. (2007) · Social Science & Medicine · doi:10.1016/j.socscimed.2007.08.034 · Cited by 116
Dimensions of the body: Whites and American negroes of both sexes
Todd, T. W., & Lindala, A. (1928) · American Journal of Physical Anthropology · doi:10.1002/ajpa.1330120104 · Cited by 91
Differences in pelvic floor area between African American and European American women
Baragi, R. V., DeLancey, J. O. L., Caspari, R., Howard, D., & Ashton‐Miller, J. A. (2002) · American Journal of Obstetrics and Gynecology · doi:10.1067/mob.2002.125703 · Cited by 82
Research works printed but not linked: 1
- Martin, 2018, Births: Final data for 2017, National Vital Statistics Reports, 67, 34
Cited by
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Hidden in Plain Sight — Reconsidering the Use of Race Correction in Clinical Algorithms
Vyas, D. A., Eisenstein, L. G., & Jones, D. S. (2020) · New England Journal of Medicine · doi:10.1056/nejmms2004740 · Cited by 1,731
Self-citationAlgorithmic fairness in artificial intelligence for medicine and healthcare
Chen, R. J., Wang, J. J., Williamson, D. F. K., Chen, T. Y., Lipkova, J., Lu, M. Y., Sahai, S., & Mahmood, F. (2023) · Nature Biomedical Engineering · doi:10.1038/s41551-023-01056-8 · Cited by 750
A framework for digital health equity
Richardson, S., Lawrence, K., Schoenthaler, A. M., & Mann, D. (2022) · npj Digital Medicine · doi:10.1038/s41746-022-00663-0 · Cited by 607
Grobman, W. A., Sandoval, G. J., Rice, M. M., Bailit, J. L., Chauhan, S. P., Costantine, M. M., Gyamfi‐Bannerman, C., Metz, T. D., Parry, S. I., Rouse, D. J., et al. (2021) · American Journal of Obstetrics and Gynecology · doi:10.1016/j.ajog.2021.05.021 · Cited by 194
Ahmed, S., Nutt, C. T., Eneanya, N. D., Reese, P. P., Sivashanker, K., Morse, M., Sequist, T., & Mendu, M. L. (2021) · Journal of General Internal Medicine · doi:10.1007/s11606-020-06280-5 · Cited by 147
Metadata
- Authors
- Vyas, D. A., Jones, D. S., Meadows, A. R., Diouf, K., Nour, N. M., & Schantz-Dunn, J.
- Affiliations
- Harvard University (US)
- Brigham and Women's Hospital (US)
- Corresponding author
- Vyas, Darshali A.
- Venue
- Women's Health Issues
- Publisher
- Elsevier BV
- Published
- 2019-05
- Volume
- 29
- Issue
- 3
- Pages
- 201-204
- ISSN
- 1049-3867 (ISSN-L)
- OpenAlex
- W2944645020
- Cited by
- 111
- References
- 24
- Citations by year
- 2026: 10 · 2025: 20 · 2024: 25 · 2023: 20 · 2022: 17 · 2021: 14 · 2020: 5
- FWCI
- 9.65
- Type
- journal article
- Language
- en
- Open access
- bronze
- doi.org
- Locations
- Women s Health Issues (publishedVersion)
- PubMed (publishedVersion)
- Topics
- Health Sciences › Medicine › Obstetrics and Gynecology › Maternal and Perinatal Health Interventions
- Health Sciences › Medicine › Pediatrics, Perinatology and Child Health › Maternal and fetal healthcare
- Health Sciences › Medicine › Public Health, Environmental and Occupational Health › Reproductive Health and Contraception
- Keywords
- vaginal birth after cesarean, racial disparities, maternal mortality, severe maternal morbidity, Black women, algorithmic bias, algorithmic fairness, health equity
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