Evidence map›Paper›PMID 38635268›Full record

ArticleJAMA network open2024

Neighborhood Disadvantage and Breast Cancer-Specific Survival in the US.

Neha Goel, Alexandra E Hernandez, Angela Mazul

Abstract read
In one paragraph

Article in JAMA network open, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.

0numbers the graph read from it
0cells of the map it votes in
17citing 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

17 citing papers in PubMed.

  1. Examining the Role of the Social Vulnerability Index in the Association between Race/Ethnicity and Breast Cancer Outcomes.Cancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology · 2026
    Article
  2. L-SOLCO Pilot Study: Examining Allostatic Load and Cancer Treatment Disparities.Journal of racial and ethnic health disparities · 2026
    Article
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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

3 authors.

Neha GoelDepartment of Surgery, Division of Surgical Oncology, University of Miami Miller School of Medicine, Miami, Florida.
Alexandra E HernandezDepartment of Surgery, Division of Surgical Oncology, University of Miami Miller School of Medicine, Miami, Florida.
Angela MazulUniversity of Pittsburgh Medical Center Hillman Cancer Center, Pittsburgh, Pennsylvania.

Funding

UM Calabresi Clinical Oncology Research Career Development AwardK12CA226330 · NCI · UNIVERSITY OF MIAMI SCHOOL OF MEDICINE · PI Alan Pollack · 2018 to 2026
$5.1M
Research Training Program in Surgical OncologyT32CA211034 · NCI · UNIVERSITY OF MIAMI SCHOOL OF MEDICINE · PI MERCHANT, NIPUN B. · 2016 to 2025
$2.7M
NCI NIH HHS K12 CA226330NCI NIH HHS T32 CA211034
6 · The paper itself

Abstract

Importance: Despite improvements in breast cancer screening, treatment, and survival, disparate breast cancer-specific survival outcomes persist, particularly in disadvantaged neighborhoods. Most of these disparities are attributed to disparities in individual, tumor, and treatment characteristics. However, a critical knowledge gap exists as to whether disparities in breast cancer-specific survival remain after accounting for individual, tumor, and treatment characteristics. Objective: To evaluate if neighborhood disadvantage is associated with shorter breast cancer-specific survival after controlling for individual, tumor, and treatment characteristics in a national population. Design, Setting, and Participants: This national retrospective cohort study included patients with breast cancer diagnosed from 2013 to 2018 from the Surveillance, Epidemiology, and End Results 17 Census tract-level socioeconomic status and rurality database of the National Cancer Institute. Data analysis was performed from September 2022 to December 2023. Exposures: Neighborhood disadvantage measured by Yost index quintiles. Main Outcomes and Measures: Breast cancer-specific survival was evaluated using a competing risks cause-specific hazard model controlling for age, race, ethnicity, rurality, stage, subtype, insurance, and receipt of treatment. Results: A total of 350 824 patients with breast cancer were included; 41 519 (11.8%) were Hispanic, 39 631 (11.3%) were non-Hispanic Black, and 234 698 (66.9%) were non-Hispanic White. A total of 87 635 patients (25.0%) lived in the most advantaged neighborhoods (group 5) and 52 439 (14.9%) lived in the most disadvantaged neighborhoods (group 1). A larger number of non-Hispanic White patients (66 529 patients [76.2%]) lived in advantaged neighborhoods, while disadvantaged neighborhoods had the highest proportion of non-Hispanic Black (16 141 patients [30.9%]) and Hispanic patients (10 168 patients [19.5%]). Breast cancer-specific survival analysis found the most disadvantaged neighborhoods (group 1) had the highest risk of mortality (hazard ratio, 1.43; 95% CI, 1.36-1.50; P < .001) compared with the most advantaged neighborhoods. Conclusions and Relevance: In this national cohort study of patients with breast cancer, neighborhood disadvantage was independently associated with shorter breast cancer-specific survival even after controlling for individual-level factors, tumor characteristics, and treatment. This suggests potential unaccounted-for mechanisms, including both nonbiologic factors and biologic factors.

Indexed as

Breast NeoplasmsBreastCohort StudiesFemaleHumansNeighborhood CharacteristicsRetrospective Studies

Identifiers

PMID38635268
PMCPMC12634134

What OpenQuestion holds

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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.