Evidence map›Paper›PMID 23825306›Full record

ArticleCancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology2013

Determinants of breast cancer treatment delay differ for African American and White women.

Sasha A McGee, Danielle D Durham, Chiu-Kit Tse, Robert C Millikan

Open access · greenAbstract read
In one paragraph

Article in Cancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 62 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
62citing papers in PubMed, 1 pooled it
3.5field-weighted citation impact, top 7% of its field
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

62 citing papers in PubMed, 1 synthesis or guideline pooled it, 97 citations in OpenAlex.

  1. Pooled it
  2. Prediagnostic Smoking Is Associated with Binary and Quantitative Measures of ER Protein andCancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology · 2018
    Trial
  3. Trial
  4. Article
  5. Unmet needs among long-term breast cancer survivors.Cancer causes & control : CCC · 2025
    Article
  6. Patterns of Change in Emotional and Functional Well-Being Following Breast Cancer Diagnosis.Cancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology · 2025
    Article
  7. Review
  8. Article
  9. Article
  10. Article
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  12. Review
  13. Article
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  15. Article
  16. Article
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  18. Racial Disparities in Breast Reconstruction at a Comprehensive Cancer Center.Journal of racial and ethnic health disparities · 2022
    Article
  19. Article
  20. Article

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

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

4 authors at 1 institution in 1 country.

Sasha A McGeeDepartment of Epidemiology, Gillings School of Global Public Health, University of North Carolina at Chapel Hill, Chapel Hill, NC 27599, USA. Sasha.McGee@alumni.unc.edu
Danielle D Durham
Chiu-Kit Tse
Robert C Millikan
University of North Carolina at Chapel Hill · US

Funding

Virology Research Program (Program 4)P30CA016086 · NCI · UNIV OF NORTH CAROLINA CHAPEL HILL · PI Deborah F. Tate · 1985 to 2026
$201.5M
Tissue Procurement & PathologyP50CA058223 · NCI · UNIV OF NORTH CAROLINA CHAPEL HILL · PI KATHERINE A. HOADLEY · 1992 to 2026
$59.3M
NCI NIH HHS P30 CA016086NCI NIH HHS P50 CA058223NCI NIH HHS P50-CA58223
6 · The paper itself

Abstract

backgroundTimeliness of care may contribute to racial disparities in breast cancer mortality. African American women experience greater treatment delay than White women in most, but not all studies. Understanding these disparities is challenging as many studies lack patient-reported data and use administrative data sources that collect limited types of information. We used interview and medical record data from the Carolina Breast Cancer Study (CBCS) to identify determinants of delay and assess whether disparities exist between White and African American women (n = 601).

methodsThe CBCS is a population-based study of North Carolina women. We investigated the association of demographic and socioeconomic characteristics, healthcare access, clinical factors, and measures of emotional and functional well-being with treatment delay. The association of race and selected characteristics with delays of more than 30 days was assessed using logistic regression.

resultsHousehold size, losing a job due to one's diagnosis, and immediate reconstruction were associated with delay in the overall population and among White women. Immediate reconstruction and treatment type were associated with delay among African American women. Racial disparities in treatment delay were not evident in the overall population. In the adjusted models, African American women experienced greater delay than White women for younger age groups: OR, 3.34; 95% confidence interval (CI), 1.07-10.38 for ages 20 to 39 years, and OR, 3.40; 95% CI, 1.76-6.54 for ages 40 to 49 years.

conclusionsDeterminants of treatment delay vary by race. Racial disparities in treatment delay exist among women younger than 50 years. IMPACT: Specific populations need to be targeted when identifying and addressing determinants of treatment delay.

Indexed as

AdultAgedBlack or African AmericanBreast NeoplasmsFemaleHealthcare DisparitiesHumansMiddle AgedNorth CarolinaRisk FactorsTime FactorsWhite PeopleYoung Adult

Identifiers

PMID23825306
PMCPMC3719384
OpenAlexW2100317393

What OpenQuestion holds

Textmetadata
LicenceTDM
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.