Evidence map›Paper›PMID 41326887›Full record

ArticleAnnals of surgical oncology2026

Zip-Code Level Disadvantage as a Predictor of Metastatic Breast Cancer at Diagnosis and Delayed Treatment Initiation.

Priyanka Parmar, Jessica Lin, Fardeen Bhimani, Laura Jao, Michelle Sheckley, Andreina Giron, Yu Chen, Rajika Jindani, David Entenberg, Maja Oktay and 5 more

Abstract read
In one paragraph

Article in Annals of surgical oncology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

  1. Article
  2. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

15 authors.

Priyanka ParmarDepartment of Surgery, Montefiore Medical Center, Bronx, NY, USA.
Jessica LinDivision of Breast Surgical Oncology, Department of Surgery, Montefiore Medical Center, Montefiore Einstein Center for Cancer Care, Bronx, NY, USA.
Fardeen BhimaniDepartment of Surgery, Montefiore Medical Center, Bronx, NY, USA.
Laura JaoDivision of Breast Surgical Oncology, Department of Surgery, Montefiore Medical Center, Montefiore Einstein Center for Cancer Care, Bronx, NY, USA.
Michelle SheckleyDivision of Breast Surgical Oncology, Department of Surgery, Montefiore Medical Center, Montefiore Einstein Center for Cancer Care, Bronx, NY, USA.
Andreina GironDepartment of Surgery, Montefiore Medical Center, Bronx, NY, USA.
Yu ChenDivision of Breast Surgical Oncology, Department of Surgery, Montefiore Medical Center, Montefiore Einstein Center for Cancer Care, Bronx, NY, USA.
Rajika JindaniDepartment of Surgery, Montefiore Medical Center, Bronx, NY, USA.
David EntenbergDepartment of Pathology, Albert Einstein College of Medicine, Bronx, NY, USA.
Maja OktayDepartment of Pathology, Albert Einstein College of Medicine, Bronx, NY, USA.
Ethan RavetchDivision of Breast Surgical Oncology, Department of Surgery, Montefiore Medical Center, Montefiore Einstein Center for Cancer Care, Bronx, NY, USA.
Anjuli GuptaDivision of Breast Surgical Oncology, Department of Surgery, Montefiore Medical Center, Montefiore Einstein Center for Cancer Care, Bronx, NY, USA.
Jessica PastorizaDivision of Breast Surgical Oncology, Department of Surgery, Montefiore Medical Center, Montefiore Einstein Center for Cancer Care, Bronx, NY, USA.
Maureen McEvoyDivision of Breast Surgical Oncology, Department of Surgery, Montefiore Medical Center, Montefiore Einstein Center for Cancer Care, Bronx, NY, USA.
Sheldon FeldmanDivision of Breast Surgical Oncology, Department of Surgery, Montefiore Medical Center, Montefiore Einstein Center for Cancer Care, Bronx, NY, USA. sfeldman@montefiore.org.ORCID http://orcid.org/0000-0003-3168-3046

Funding

Training of Surgeons for Studies of the Tumor MicroenvironmentT32CA200561 · NCI · ALBERT EINSTEIN COLLEGE OF MEDICINE, INC · PI MCAULIFFE, JOHN · 2015 to 2024
$2.7M
NCI NIH HHS T32 CA200561NIH T32 Grant T32CA200561
6 · The paper itself

Abstract

backgroundMetastatic breast cancer remains a significant public health issue, associated with worse outcomes and limited treatment options. While tumor biology influences disease progression, social and geographic disparities also contribute to late-stage diagnosis. The Distressed Communities Index (DCI), a zip-code level measure of economic hardship, captures structural disadvantage more comprehensively than traditional socioeconomic indicators. This study evaluates whether higher DCI scores are associated with metastatic stage and treatment delays, independent of clinical and demographic factors. PATIENTS AND

methodsWe conducted a retrospective cohort study of women aged ≥ 18 years diagnosed or treated for in situ (DCIS) and invasive breast cancer (2018-2022) at a comprehensive cancer center. Zip codes were linked to DCI scores. Multinomial logistic regression, adjusted for age, race, ethnicity, insurance status, tumor subtype, and clinical palpable mass, assessed the association between DCI and cancer stage. Analysis of covariance compared time with treatment across DCI groups.

resultsAmong 2024 women (38% Black, 39% Hispanic), 76.8% resided in high DCI areas. High DCI was associated with twice the likelihood of metastatic disease at diagnosis compared with localized stage (ref: low DCI, aOR 2.16, 95% CI 2.00-2.34, p < 0.001) after adjustment. High DCI patients also experienced longer time to treatment initiation, including adjuvant chemotherapy (119 versus 137 days, p = 0.024), radiation (103 versus 133 days, p < 0.001), and surgery (71.2 versus 87.4 days, p < 0.001), after adjustment for stage.

conclusionsLeveraging DCI may help identify high-risk zip codes and guide targeted screening to reduce disparities in outcomes.

Indexed as

Breast NeoplasmsCarcinoma, Intraductal, NoninfiltratingDelayed DiagnosisHealthcare DisparitiesTime-to-TreatmentAdultAgedFemaleFollow-Up StudiesHumansMiddle AgedPrognosisRetrospective StudiesSocioeconomic FactorsTreatment Delay

Identifiers

PMID41326887
PMCPMC12901150

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.