Evidence map›Paper›PMID 21861226›Full record

ArticleAnnals of surgical oncology2011

Socioeconomic and racial differences in treatment for breast cancer at a low-volume hospital.

Amanda L Kong, Tina W F Yen, Liliana E Pezzin, Haiyan Miao, Rodney A Sparapani, Purushottam W Laud, Ann B Nattinger

Abstract readComparative Study
In one paragraph

Article in Annals of surgical oncology, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers, 1 of them a synthesis that pooled it.

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

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

  1. Pooled it
  2. Article
  3. Article
  4. Article
  5. Centralization of Initial Care and Improved Survival of Poor Patients With Breast Cancer.Journal of clinical oncology : official journal of the American Society of Clinical Oncology · 2023
    Article
  6. Article
  7. Review
  8. Article
  9. The Intersection of Rural Residence and Minority Race/Ethnicity in Cancer Disparities in the United States.International journal of environmental research and public health · 2021
    Review
  10. Article
  11. Article
  12. Observational
  13. Article
  14. Rural residence and cancer outcomes in the United States: issues and challenges.Cancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology · 2013
    Review
  15. Determinants of breast cancer treatment delay differ for African American and White women.Cancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology · 2013
    Article
  16. Carcinogenesis alters fatty acid profile in breast tissue.Molecular and cellular biochemistry · 2013
    Article
  17. 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

7 authors.

Amanda L KongDepartment of Surgery, Medical College of Wisconsin, Milwaukee, WI, USA. akong@mcw.edu
Tina W F Yen
Liliana E Pezzin
Haiyan Miao
Rodney A Sparapani
Purushottam W Laud
Ann B Nattinger

Funding

OUTCOMES OF OLDER WOMEN WITH EARLY STAGE BREAST CANCERR01CA081379 · NCI · MEDICAL COLLEGE OF WISCONSIN · PI NATTINGER, ANN B · 2000 to 2008
$3.0M
SES Disparities in Breast Cancer: Effect of Pharmaceutical CoverageR01CA127648 · NCI · MEDICAL COLLEGE OF WISCONSIN · PI NATTINGER, ANN B · 2009 to 2013
$2.4M
Lymphedema incidence and risk factors among older breast cancer patientsK07CA125586 · NCI · MEDICAL COLLEGE OF WISCONSIN · PI YEN, TINA WF · 2007 to 2011
$789k
NCI NIH HHS K07 CA125586NCI NIH HHS K07-CA125586NCI NIH HHS R01 CA081379NCI NIH HHS R01 CA127648NCI NIH HHS R01-CA81379
6 · The paper itself

Abstract

purposePopulation-based studies have revealed higher mortality among breast cancer patients treated in low-volume hospitals. Other studies have demonstrated disparities in race and socioeconomic status (SES) in breast cancer survival. The purpose of our study was to determine whether nonwhite or low-SES patients are disproportionately treated in low-volume hospitals.

methodsA population-based cohort of 2,777 Medicare breast cancer patients who underwent breast cancer surgery in 2003 participated in a survey study examining breast cancer outcomes. Information was obtained from survey responses, Medicare claims, and state tumor registry data.

resultsOn univariate analysis, patients treated at low-volume hospitals were less likely to be white, less likely to live in an urban location, and more likely to have a low SES with less social support and live a greater distance from a high-volume hospital. Education, marital status, total household income, having additional insurance besides Medicare, population density of primary residence, and tangible support were associated with distance to the nearest high-volume hospital. On multivariate analysis, the independent predictors of treatment at a low-volume hospital were being nonwhite (P = 0.003), having a lower household income (P < 0.0001), residence in a rural location (P = 0.01), and living a greater distance from a high-volume hospital (P < 0.0001).

conclusionsIn this large population-based cohort, women who were poorer, nonwhite, and who lived in a rural location or at a greater distance from a high-volume hospital were more likely to be treated at low-volume hospitals. These differences may partially explain racial and SES disparities in breast cancer outcomes.

Indexed as

Healthcare DisparitiesHealth Status DisparitiesAgedAged, 80 and overAge FactorsBlack or African AmericanBreast NeoplasmsFemaleFollow-Up StudiesHospitalsHumansMastectomyMedicarePrognosisRural PopulationSocioeconomic Factors

Identifiers

PMID21861226
PMCPMC3201787

What OpenQuestion holds

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Read underepoch 390

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.