Evidence map›Paper›PMID 29035645›Full record

ArticleJournal of clinical oncology : official journal of the American Society of Clinical Oncology2018

Factors That Contributed to Black-White Disparities in Survival Among Nonelderly Women With Breast Cancer Between 2004 and 2013.

Ahmedin Jemal, Anthony S Robbins, Chun Chieh Lin, W Dana Flanders, Carol E DeSantis, Elizabeth M Ward, Rachel A Freedman

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Article in Journal of clinical oncology : official journal of the American Society of Clinical Oncology, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 107 papers, 4 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
107citing papers in PubMed, 4 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

107 citing papers in PubMed, 4 syntheses or guidelines pooled it.

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47 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

7 authors.

Ahmedin JemalAhmedin Jemal, Anthony S. Robbins, Chun Chieh Lin, Carol E. DeSantis, and Elizabeth M. Ward, American Cancer Society; W. Dana Flanders, Emory University, Atlanta, GA; and Rachel A. Freedman, Dana-Farber Cancer Institute, Boston, MA.
Anthony S RobbinsAhmedin Jemal, Anthony S. Robbins, Chun Chieh Lin, Carol E. DeSantis, and Elizabeth M. Ward, American Cancer Society; W. Dana Flanders, Emory University, Atlanta, GA; and Rachel A. Freedman, Dana-Farber Cancer Institute, Boston, MA.
Chun Chieh LinAhmedin Jemal, Anthony S. Robbins, Chun Chieh Lin, Carol E. DeSantis, and Elizabeth M. Ward, American Cancer Society; W. Dana Flanders, Emory University, Atlanta, GA; and Rachel A. Freedman, Dana-Farber Cancer Institute, Boston, MA.
W Dana FlandersAhmedin Jemal, Anthony S. Robbins, Chun Chieh Lin, Carol E. DeSantis, and Elizabeth M. Ward, American Cancer Society; W. Dana Flanders, Emory University, Atlanta, GA; and Rachel A. Freedman, Dana-Farber Cancer Institute, Boston, MA.
Carol E DeSantisAhmedin Jemal, Anthony S. Robbins, Chun Chieh Lin, Carol E. DeSantis, and Elizabeth M. Ward, American Cancer Society; W. Dana Flanders, Emory University, Atlanta, GA; and Rachel A. Freedman, Dana-Farber Cancer Institute, Boston, MA.
Elizabeth M WardAhmedin Jemal, Anthony S. Robbins, Chun Chieh Lin, Carol E. DeSantis, and Elizabeth M. Ward, American Cancer Society; W. Dana Flanders, Emory University, Atlanta, GA; and Rachel A. Freedman, Dana-Farber Cancer Institute, Boston, MA.
Rachel A FreedmanAhmedin Jemal, Anthony S. Robbins, Chun Chieh Lin, Carol E. DeSantis, and Elizabeth M. Ward, American Cancer Society; W. Dana Flanders, Emory University, Atlanta, GA; and Rachel A. Freedman, Dana-Farber Cancer Institute, Boston, MA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Purpose To estimate the contribution of differences in demographics, comorbidity, insurance, tumor characteristics, and treatment to the overall mortality disparity between nonelderly black and white women diagnosed with early-stage breast cancer. Patients and Methods Excess relative risk of all-cause death in black versus white women diagnosed with stage I to III breast cancer, expressed as a percentage and stratified by hormone receptor status for each variable (demographics, comorbidity, insurance, tumor characteristics, and treatment) in sequentially, propensity-scored, optimally matched patients by using multivariable hazard ratios (HRs). Results We identified 563,497 white and black women 18 to 64 years of age diagnosed with stage I to III breast cancer from 2004 to 2013 in the National Cancer Data Base. Among women with hormone receptor-positive disease, who represented 78.5% of all patients, the HR for death in black versus white women in the demographics-matched model was 2.05 (95% CI, 1.94 to 2.17). The HR decreased to 1.93 (95% CI, 1.83 to 2.04), 1.54 (95% CI, 1.47 to 1.62), 1.30 (95% CI, 1.24 to 1.36), and 1.25 (95% CI, 1.19 to 1.31) when sequentially matched for comorbidity, insurance, tumor characteristics, and treatment, respectively. These factors combined accounted for 76.3% of the total excess risk of death in black patients; insurance accounted for 37.0% of the total excess, followed by tumor characteristics (23.2%), comorbidities (11.3%), and treatment (4.8%). Results generally were similar among women with hormone receptor-negative disease, although the HRs were substantially smaller. Conclusion Matching by insurance explained one third of the excess risk of death among nonelderly black versus white women diagnosed with early-stage breast cancer; matching by tumor characteristics explained approximately one fifth of the excess risk. Efforts to focus on equalization of access to care could substantially reduce ethnic/racial disparities in overall survival among nonelderly women diagnosed with breast cancer.

Indexed as

AdolescentAdultBlack or African AmericanBreast NeoplasmsFemaleHealthcare DisparitiesHumansInsurance, HealthKaplan-Meier EstimateMiddle AgedNeoplasm StagingProportional Hazards ModelsReceptors, SteroidUnited StatesWhite PeopleYoung AdultReceptors, Steroid

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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.