Evidence map›Paper›PMID 39627859›Full record

ArticleBreast cancer research : BCR2024

Social vulnerability is associated with advanced breast cancer presentation and all-cause mortality: a retrospective cohort study.

Kayla A Councell, Ann M Polcari, Rachel Nordgren, Ted A Skolarus, Andrew J Benjamin, Sarah P Shubeck

Abstract read
In one paragraph

Article in Breast cancer research : BCR, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed, 1 pooled it
–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

13 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. 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
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  4. Immigration and Social Factors, Tumor Stage, and Risk of Contralateral Breast Cancer in Asian American and Hispanic Women.Cancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology · 2026
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  5. Differential effects of neighborhood ambient PMInternational journal of health geographics · 2026
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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

6 authors.

Kayla A CouncellDepartment of Surgery, University of Chicago, 5841 S. Maryland Ave., MC5030, Chicago, IL, 60637, USA. Kayla.polcari@uchicagomedicine.org.
Ann M PolcariDepartment of Surgery, University of Chicago, 5841 S. Maryland Ave., MC5030, Chicago, IL, 60637, USA.
Rachel NordgrenDepartment of Public Health Sciences, University of Chicago, 5841 S. Maryland Ave., MC2000, Chicago, IL, 60637, USA.
Ted A SkolarusDepartment of Surgery, University of Chicago, 5841 S. Maryland Ave., MC5030, Chicago, IL, 60637, USA.
Andrew J BenjaminDepartment of Surgery, University of Chicago, 5841 S. Maryland Ave., MC5030, Chicago, IL, 60637, USA.
Sarah P ShubeckDepartment of Surgery, University of Chicago, 5841 S. Maryland Ave., MC5030, Chicago, IL, 60637, USA.

Funding

Bucksbaum Institute for Clinical Excellence Pilot Grant
6 · The paper itself

Abstract

backgroundDisparities in breast cancer mortality persist despite improvements in screening and therapeutic options. Understanding the impact of social determinants of health on disparate breast cancer outcomes is challenging due to heterogeneity of prior assessments. We examined the association between social vulnerability and breast cancer stage at diagnosis and mortality using a standardized measure of population risk for external stressors on health.

methodsUsing institutional cancer registry data, female patients aged 18 or older diagnosed with breast cancer between 2012 and 2019 were assigned a 2018 Social Vulnerability Index (SVI) rank based upon home address census tract. We used multinomial logistic regression and Cox proportional hazards model to examine the relationships between SVI and breast cancer stage at diagnosis and all-cause mortality. Covariates included age and, when assessing mortality, cancer stage, comorbidities, body mass index, insurance type, and treatment regimen.

resultsA total of 3,499 women with a median age of 59 (IQR 48-69) were included. 60% were White and 31% were Black. Median SVI was 0.36 (IQR 0.14-0.68) and median follow-up was 58 months (IQR 37.3-83.9). On adjusted analyses, each decile increase in SVI resulted in an 11% (OR 1.11, 95% CI 1.06-1.16, p < .001) and 15% (OR 1.15, 95% CI 1.09-1.21, p < .001) greater odds of presenting with Stage III or IV breast cancer, respectively, compared to DCIS. For patients who underwent surgery (N = 2916), each decile increase in SVI was associated with a 6% increase in all-cause mortality risk (HR 1.06, 95% CI 1.01-1.12, p = .01). Mortality risk was 1.5 times (HR 1.52, 95% CI 1.02-2.26, p = .04) greater for those in the most vulnerable quartile compared to the least vulnerable quartile.

conclusionsWomen living in socially vulnerable communities presented with more advanced breast cancers and suffered worse survival. The SVI can be used to identify patients at risk for delayed cancer presentation and increased mortality. This tool can inform geographically targeted resource allocation and interventions aimed at reducing breast cancer care disparities.

Indexed as

Breast NeoplasmsSocial VulnerabilityAdultAgedCause of DeathFemaleHealthcare DisparitiesHumansMiddle AgedNeoplasm StagingProportional Hazards ModelsRegistriesRetrospective StudiesSocial Determinants of HealthBreast cancerDisparitySocial vulnerability

Identifiers

PMID39627859
PMCPMC11616300

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LicenceCC BY-NC-ND
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Registered trials

None linked

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.