Quantification of Information Gained by Linking Claims Data to an Electronic Health Record Cohort of Patients With Metastatic Breast Cancer
EHR-claims provided more diagnoses and observation time, at the cost of a reduction in sample size and underrepresentation of patients ≥ 65 years. Differing age proportions support age-stratified or standardized analyses for EHR-claims data. Results aid interpretation of differences between EHR and EHR-claims results due to shifts in age, completeness of diagnosis history, and duration of observation.
Authors
- C L Carroll
- Carrie M. Nielson (ORCID: https://orcid.org/0000-0002-2619-7839)
- Ιωάννα Ντάλλα (ORCID: https://orcid.org/0000-0001-6419-6215)
- M. Alan Brookhart (ORCID: https://orcid.org/0000-0003-1572-0564)
- Lev Eldemir
- Vera Mucaj
- Jonah Geddes (ORCID: https://orcid.org/0000-0003-3096-6941)
- Alex Asiimwe
- Julie Katz (ORCID: https://orcid.org/0009-0007-5527-2678)
- Kevin B. Nolan
Institutions
- Duke University (US)
- Gilead Sciences (United Kingdom) (GB)
- DATADVANCE (France) (FR)
- Gilead Sciences (Spain) (ES)
- SimulConsult (US)
- Gilead Sciences (United States) (US)
- Gilead Sciences (Australia) (AU)
- Solstad Offshore (Norway) (NO)
Publication Details
- Journal
- Pharmacoepidemiology and Drug Safety
- Published
- 2025-09-23
- DOI
- https://doi.org/10.1002/pds.70213
- Primary Topic
- Breast Cancer Treatment Studies
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- Gilead Sciences