Zip-Code Level Disadvantage as a Predictor of Metastatic Breast Cancer at Diagnosis and Delayed Treatment Initiation
Leveraging DCI may help identify high-risk zip codes and guide targeted screening to reduce disparities in outcomes.
Authors
- Maja H. Oktay (ORCID: https://orcid.org/0000-0002-8115-3898)
- Anjuli Gupta (ORCID: https://orcid.org/0000-0002-7864-846X)
- Maureen McEvoy (ORCID: https://orcid.org/0000-0002-2668-4856)
- Jessica Pastoriza (ORCID: https://orcid.org/0000-0001-8797-3427)
- Fardeen Bhimani (ORCID: https://orcid.org/0000-0003-2184-8812)
- Ethan Ravetch (ORCID: https://orcid.org/0000-0002-8891-6296)
- Andreina Giron (ORCID: https://orcid.org/0009-0005-7633-3690)
- Rajika Jindani (ORCID: https://orcid.org/0000-0001-9084-1724)
- David Entenberg (ORCID: https://orcid.org/0000-0003-0422-7264)
- Laura Jao
- Yu Chen (ORCID: https://orcid.org/0000-0003-4458-4039)
- Jessica Lin (ORCID: https://orcid.org/0000-0001-7496-9381)
- Priyanka Parmar (ORCID: https://orcid.org/0000-0003-0358-5166)
- Sheldon Feldman (ORCID: https://orcid.org/0000-0003-3168-3046)
- Michelle Sheckley
Institutions
- Albert Einstein College of Medicine (US)
- Montefiore Medical Center (US)
Publication Details
- Journal
- Annals of Surgical Oncology
- Published
- 2025-12-01
- DOI
- https://doi.org/10.1245/s10434-025-18693-9
- Primary Topic
- HER2/EGFR in Cancer Research
- Type
- article
- Field-Weighted Citation Impact
- 0.00