ArticleBreast cancer research and treatment2025
Race and ethnicity and self-reported racial/ethnic discrimination in breast cancer patient interactions with providers in the Pathways Study.
Article in Breast cancer research and treatment, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 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
4 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Structural racism as a fundamental cause of health inequities: a scoping review.International journal for equity in health · 2025Pooled it
- Self-reported racial and ethnic discrimination in patient-provider interactions and the initiation of adjuvant therapies for breast cancer in the pathways study.Breast cancer research and treatment · 2026Article
- The Effect of Social Associations on Mammography Screening Disparities in Rural Communities: A County-Level Secondary Analysis.Cancer medicine · 2026Article
- Disparities in breast cancer incidence and survival by age, race, and molecular subtype in US women.NPJ breast cancer · 2026Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
8 authors.
Funding
Abstract
purposeTo examine the association of race and ethnicity groups with self-reported racial/ethnic discrimination in patient-provider interactions during the diagnosis and treatment for breast cancer.
methodsWe analyzed data from the Pathways Study, a prospective cohort of women diagnosed with breast cancer from 2006-2013 in the Kaiser Permanente Northern California Health Care System. Racial/ethnic discrimination in patient-provider interactions was assessed with two questions from the Interpersonal Processes of Care survey at baseline and 6-months and 24-months post-diagnosis. Logistic regression was performed to compare women who self-identified as racial or ethnic minorities with Non-Hispanic White (NHW) women. Covariates included age at diagnosis, country of origin, education level, income, marital status, and medical provider's race/ethnicity.
resultsOur sample included 1836 participants: 1350 NHW women and 486 women (87 Black, 208 Asian American, 153 Hispanic, 38 American Indian/Alaskan Native/Pacific Islander [AIANPI]) from racial or ethnic minority groups. In multivariate analysis, minority women were more likely to report racial/ethnic discrimination in patient-provider interactions than NHW women (adjusted odds ratio [aOR]: 4.73; 95% confidence interval [CI] 3.45-6.50). Specifically, Black women were most likely to self-report racial/ethnic discrimination in patient-provider interactions (aOR: 9.65; 95% CI 5.92-15.70), followed by Asian (aOR: 5.39; 95% CI 3.46-8.40), Hispanic (aOR: 2.55; 95% CI 1.54-4.14), and AIANPI (aOR: 1.74; 95% CI 0.58-4.25) women, compared with NHW women.
conclusionRacial/ethnic discrimination was more likely self-reported from minority women diagnosed with breast cancer. Additional studies are needed to understand the mechanisms and impact of racial/ethnic discrimination in patient-provider interactions on disparities.
Indexed as
Identifiers
What OpenQuestion holds
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.