ArticleBreast cancer research and treatment2009
Increased racial differences on breast cancer care and survival in America: historical evidence consistent with a health insurance hypothesis, 1975-2001.
Article in Breast cancer research and treatment, 2009. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers, 1 of them a synthesis that pooled 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.
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.
Who cites it
8 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Psychosocial interventions addressing the needs of Black women diagnosed with breast cancer: a review of the current landscape.Psycho-oncology · 2015Pooled it
- Impact of high-dose chemotherapy on the ability to deliver subsequent local-regional radiotherapy for breast cancer: analysis of Cancer and Leukemia Group B Protocol 9082.International journal of radiation oncology, biology, physics · 2010Trial
- A Review of Research on Disparities in the Care of Black and White Patients With Cancer in Detroit.Frontiers in oncology · 2021Review
- Relationship between Insurance Type at Diagnosis and Hepatocellular Carcinoma Survival.Cancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology · 2020Article
- Mediation of the effects of living in extremely poor neighborhoods by health insurance: breast cancer care and survival in California, 1996 to 2011.International journal for equity in health · 2013Article
- Effects of being uninsured or underinsured and living in extremely poor neighborhoods on colon cancer care and survival in California: historical cohort analysis, 1996-2011.BMC public health · 2012Article
- Comprehensive School Reform: Meta-Analytic Evidence of Black-White Achievement Gap Narrowing.Education policy analysis archives · 2009Article
- Breast cancer survival in ontario and california, 1998-2006: socioeconomic inequity remains much greater in the United States.Annals of epidemiology · 2009Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
9 authors.
Funding
Abstract
purposeThis study examined whether race/ethnicity had differential effects on breast cancer care and survival across age strata and cohorts within stages of disease.
methodsThe Detroit Cancer Registry provided 25,997 breast cancer cases. African American and non-Hispanic white, older Medicare-eligible and younger non-eligible women were compared. Successive historical cohorts (1975-1980 and 1990-1995) were, respectively, followed until 1986 and 2001.
resultsAfrican American disadvantages on survival and treatments increased significantly, particularly among younger women who were much more likely to be uninsured. Within node positive disease all treatment disadvantages among younger African American women disappeared with socioeconomic adjustment.
conclusionsGrowth of this racial divide implicates social, rather than biological, forces. Its elimination will require high quality health care for all.
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Registered trials
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.