ArticleJNCI cancer spectrum2022
Asian Ethnic Subgroup Disparities in Delays of Surgical Treatment for Breast Cancer.
Article in JNCI cancer spectrum, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 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
7 citing papers in PubMed, 1 synthesis or guideline pooled it, 13 citations in OpenAlex.
- Ethnoracial disparities in breast cancer treatment time and survival: a systematic review with a DAG-based causal model.Epidemiologic reviews · 2025Pooled it
- Analysis of low-benefit subgroups in breast-conserving surgery: Implications for clinical decision-making (Review).Experimental and therapeutic medicine · 2026Review
- Disparities in care of older adults of color with cancer: A narrative review.Cancer medicine · 2024Review
- Medicaid expansion, chemotherapy delays, and racial disparities among women with early-stage breast cancer.Journal of the National Cancer Institute · 2023Article
- The Landmark Series: The Breast Cancer Burden of the Asian American Population and the Need for Disaggregated Data.Annals of surgical oncology · 2023Review
- Breast Cancer Disparities in Asian Women: The Need for Disaggregated Research.International journal of environmental research and public health · 2022Article
- Bioinformatics Method Was Used to Analyze the Highly Expressed Gene FAM83A of Breast Cancer in Young Women.Applied bionics and biomechanics · 2022Article
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 at 1 institution in 1 country.
Funding
Abstract
Background: As Asian American breast cancer incidence rises, it is necessary to investigate the origins of differential breast cancer outcomes among Asian ethnic subgroups. This study aimed to examine disparities in delays of breast cancer surgery among Asian ethnic subgroups. Methods: We obtained California Cancer Registry data on female breast cancer diagnoses and treatment from 2012 to 2017. Our main independent variable was patient race and ethnicity, including 6 Asian ethnic subgroups. Dependent variables included time to surgical treatment for breast cancer and receipt of surgical treatment within 30 and 90 days of diagnosis. We conducted multivariable logistic regression to determine the odds of receiving surgery within 30 and 90 days of diagnosis and multivariable Cox proportional hazards regression to determine the risk of prolonged time to surgery. Results: In our cohort of 93 168 breast cancer patients, Hispanic (odds ratio [OR] = 0.86, 95% confidence interval [CI] = 0.82 to 0.89) and non-Hispanic Black (OR = 0.83, 95% CI = 0.78 to 0.88) patients were statistically significantly less likely than non-Hispanic White patients to receive surgery within 30 days of breast cancer diagnosis, whereas Asian Indian or Pakistani (OR = 1.23, 95% CI = 1.09 to 1.40) and Chinese (OR = 1.30, 95% CI = 1.20 to 1.40) patients were statistically significantly more likely to receive surgery within 30 days of diagnosis. Conclusions: This large, population-based retrospective cohort study of female breast cancer patients is the first, to our knowledge, to demonstrate that time to surgical treatment is not equal for all Asians. Distinct differences among Asian ethnic subgroups suggest the necessity of further investigating breast cancer treatment patterns to fully understand and target disparities in breast cancer treatment.
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.