Evidence map›Paper›PMID 34792814›Full record

ArticleCancer2022

Disease characteristics and mortality among Asian women with breast cancer.

Alice Yunzi L Yu, Samantha M Thomas, Gayle D DiLalla, Rachel A Greenup, E Shelley Hwang, Terry Hyslop, Carolyn S Menendez, Jennifer K Plichta, Lisa A Tolnitch, Oluwadamilola M Fayanju

Open access · bronzeAbstract read
In one paragraph

Article in Cancer, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 31 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
31citing papers in PubMed, 2 pooled it
2.0field-weighted citation impact, top 13% 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

31 citing papers in PubMed, 2 syntheses or guidelines pooled it, 36 citations in OpenAlex.

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  17. Unveiling breast cancer disparities: comparative insights from Asian and Western populations.Translational breast cancer research : a journal focusing on translational research in breast cancer · 2025
    Article
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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

10 authors at 1 institution in 1 country.

Alice Yunzi L YuDuke University School of Medicine, Durham, North Carolina.
Samantha M ThomasDepartment of Biostatistics and Bioinformatics, Duke University School of Medicine, Durham, North Carolina.
Gayle D DiLallaDuke Cancer Institute, Durham, North Carolina.
Rachel A GreenupDuke Cancer Institute, Durham, North Carolina.
E Shelley HwangDuke Cancer Institute, Durham, North Carolina.
Terry HyslopDepartment of Biostatistics and Bioinformatics, Duke University School of Medicine, Durham, North Carolina.
Carolyn S MenendezDuke Cancer Institute, Durham, North Carolina.
Jennifer K PlichtaDuke Cancer Institute, Durham, North Carolina.
Lisa A TolnitchDuke Cancer Institute, Durham, North Carolina.
Oluwadamilola M FayanjuDuke Cancer Institute, Durham, North Carolina.ORCID 0000-0002-0876-975X
Duke University · US

Funding

Women's Cancer Research ProgramP30CA014236 · NCI · DUKE UNIVERSITY · PI JOHN N. NORTON · 1985 to 2026
$174.8M
Viral Vector Technology (VVTSR)P30CA021765 · NCI · ST. JUDE CHILDREN'S RESEARCH HOSPITAL · PI CHARLES ROBERTS · 1985 to 2026
$166.9M
Washington University Center for Cellular ImagingP30CA091842 · NCI · WASHINGTON UNIVERSITY · PI AIMEE S JAMES · 2001 to 2026
$128.0M
Using Modifiable Risk Factors to Predict Inferior Care and Survival after Breast Cancer Diagnosis: A Novel Approach to Addressing Health DisparitiesK08CA241390 · NCI · UNIVERSITY OF PENNSYLVANIA · PI FAYANJU, OLUWADAMILOLA M. · 2019 to 2023
$1.1M
Duke Global Health Institute, Duke UniversityNCI NIH HHS K08 CA241390NCI NIH HHS P30 CA014236NCI NIH HHS P30 CA021765NCI NIH HHS P30 CA091842
6 · The paper itself

Abstract

backgroundAsian women with breast cancer are often studied in aggregate, belying significant intragroup diversity. The authors sought to examine differences in breast cancer characteristics and outcomes among Asian women.

methodsAsian, non-Hispanic Black, Hispanic, and non-Hispanic White women aged 18 years and older who were diagnosed with breast cancer from 1990 to 2016 were identified in the Surveillance, Epidemiology, and End Results 18 database. Asian patients were subclassified as Chinese, Japanese, Korean, Filipino, Vietnamese, South Asian (Asian Indian or Pakistani), Southeast Asian (SEA, i.e., Cambodian, Laotian, Hmong, or Thai), or other Asian. Unadjusted overall survival (OS) and cancer-specific survival (CSS) were estimated using the Kaplan-Meier method. Cox proportional hazards models were used to estimate adjusted OS and CSS.

resultsIn total, 910,415 women were included (Asian, n = 63,405; Black, n = 92,226; Hispanic, n = 84,451; White, n = 670,333). Asian women had higher rates of human epidermal growth factor receptor 2 (HER2)-positive disease compared with White women (18.7% vs 13.8%) and had the highest 10-year unadjusted OS and CSS among all racial/ethnic groups (all P < .001). SEA women had the highest rates of stage IV disease at presentation, whereas Japanese women had the lowest rates (5.9% vs 2.7%; P < .001). Japanese women had the highest 10-year unadjusted CSS (89.4%; 95% confidence interval, 88.7%-90.1%) of any distinct Asian group, whereas SEA women had the worst unadjusted CSS (78%; 95% confidence interval, 74.1%-81.3%; P < .001). After adjustment, SEA women had the worst OS of any Asian group and were the only Asian group without improved OS compared with White women (reference category; P = .08).

conclusionsBreast cancer characteristics and outcomes vary significantly among Asian women. Future research should consider disaggregation by country or region of origin to identify subgroups that are at risk for worse outcomes than aggregated data may suggest. LAY SUMMARY: Asian women with breast cancer are frequently studied as a single entity. However, Asian ethnic groups differ greatly by country of origin, genetic ancestry, disease frequency, socioeconomic status, patterns of immigration, as well as dietary and cultural practices. Women of different Asian ethnicities vary significantly with regard to cancer characteristics, such as mortality and tumor subtype. Future research should disaggregate these populations to better understand, treat, and counsel Asian patients with breast cancer.

Indexed as

Breast NeoplasmsAdolescentAsianAsian PeopleBlack PeopleFemaleHispanic or LatinoHumansAsianbreast neoplasmsethnic disparitieshealthcare disparitieshealth outcomesracial disparities

Identifiers

PMID34792814
PMCPMC8837687
OpenAlexW3214543308

What OpenQuestion holds

Textmetadata
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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.