Development and Validation of an Endometrial Cancer Algorithm in <scp>US</scp> Claims Data
Two visits with an endometrial cancer diagnosis code accurately identified endometrial cancer cases in both coding systems. There were very few false positive endometrial cancer diagnoses. PPVs and sensitivities were high and similar in all cohorts.
Authors
- Stephan Lanes (ORCID: https://orcid.org/0000-0001-9536-6643)
- Kevin C. Schott
- Cachet Wenziger
- Sampada Gandhi (ORCID: https://orcid.org/0000-0001-6658-1213)
- Feng Dai (ORCID: https://orcid.org/0000-0002-9963-6863)
- Kimberly Daniels (ORCID: https://orcid.org/0000-0003-1862-5634)
- Goldstein
- Kevin D. Wolter
- Pejman Azarmina
- Bahar Coley
- Saravanan Shanmugasandaram
- Lauren Parlett
- Li Wang
Institutions
- Pfizer (United States) (US)
- New York University (US)
Publication Details
- Journal
- Pharmacoepidemiology and Drug Safety
- Published
- 2026-01-21
- DOI
- https://doi.org/10.1002/pds.70306
- Primary Topic
- Endometrial and Cervical Cancer Treatments
- Type
- article
- Field-Weighted Citation Impact
- 0.00