Evidence map›Paper›PMID 42384382›Full record

ArticleJAMA network open2026

Breast Cancer Survival in Asian American Patients.

Scarlett Lin Gomez, Julie Von Behren, Valerie McGuire, Mi-Ok Kim, Luna Gao, Salma Shariff-Marco, Katherine Lin, Iona Cheng, Marilyn L Kwan, Anna H Wu and 12 more

Abstract read
In one paragraph

Article in JAMA network open, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

22 authors.

Scarlett Lin GomezDepartment of Epidemiology and Biostatistics, University of California, San Francisco.
Julie Von BehrenDepartment of Epidemiology and Biostatistics, University of California, San Francisco.
Valerie McGuireDepartment of Epidemiology and Biostatistics, University of California, San Francisco.
Mi-Ok KimDepartment of Epidemiology and Biostatistics, University of California, San Francisco.
Luna GaoDepartment of Epidemiology and Biostatistics, University of California, San Francisco.
Salma Shariff-MarcoDepartment of Epidemiology and Biostatistics, University of California, San Francisco.
Katherine LinDepartment of Epidemiology and Biostatistics, University of California, San Francisco.
Iona ChengDepartment of Epidemiology and Biostatistics, University of California, San Francisco.
Marilyn L KwanDivision of Research, Kaiser Permanente Northern California, Pleasanton.
Anna H WuDepartment of Population and Public Health Sciences, Keck School of Medicine, University of Southern California, Los Angeles.
Esther M JohnDepartment of Epidemiology and Population Health, Stanford University School of Medicine, Stanford, California.
Lenora LooUniversity of Hawaii Cancer Center, Honolulu.
Allison KurianDepartment of Epidemiology and Population Health, Stanford University School of Medicine, Stanford, California.
Jocelyn KooDepartment of Epidemiology and Population Health, Stanford University School of Medicine, Stanford, California.
Lia D'addarioDivision of Research, Kaiser Permanente Northern California, Pleasanton.
Janise M RohDivision of Research, Kaiser Permanente Northern California, Pleasanton.
Isaac J ErgasDivision of Research, Kaiser Permanente Northern California, Pleasanton.
Esperanza CastilloDepartment of Epidemiology and Biostatistics, University of California, San Francisco.
Christine B AmbrosoneDepartment of Cancer Prevention and Control, Roswell Park Comprehensive Cancer Center, Buffalo, New York.
Brittany N MoreyDepartment of Health, Society, & Behavior, Joe C. Wen School of Population & Public Health, University of California, Irvine.
Lawrence H KushiDivision of Research, Kaiser Permanente Northern California, Pleasanton.
Song YaoDepartment of Cancer Prevention and Control, Roswell Park Comprehensive Cancer Center, Buffalo, New York.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Importance: In the US, breast cancer mortality is lower among Asian American females diagnosed with breast cancer compared with other racial and ethnic groups, although reasons for this difference are not well understood. Objective: To examine contributions of clinical, lifestyle, and sociodemographic factors to mortality differences among females identifying as Asian races and ethnicities compared with non-Latina White females and whether associations vary by nativity. Design, Setting, and Participants: This cohort study analyzed time-to-event survival data from Asian and White females with breast cancer from 4 epidemiologic studies. Cohorts were recruited from California and Hawaii, with information from questionnaires and cancer registries. Participants were females with first primary invasive breast cancer diagnosed from 1992 to 2019 who self-identified as Asian and females who self-identified as White as a comparison group. Analyses were conducted from February 2024 to February 2026. Exposures: Self-reported race and ethnicity, nativity, clinical factors (eg, stage and tumor grade), marital status, educational level, reproductive factors, insurance status, lifestyle factors (eg, smoking and alcohol use), diabetes, and neighborhood socioeconomic indicators. Main Outcomes and Measures: The outcomes of interest were all-cause and breast cancer-specific mortality. Cox proportional hazards models were used to estimate hazard ratios (HRs) comparing each Asian group with White females, and changes in these estimates with adjustment for various prognostic factors. Results: A total of 8994 females (mean [SD] age at diagnosis, 59 [13] years), including 3973 Asian females and 5021 White females, were analyzed. There were 2637 total deaths and 1140 deaths attributed to breast cancer (mean follow-up time 12.6 years; range, 1 month to 28 years). Most Asian groups had a higher proportion diagnosed before age 50 years compared with White females: from 34% among Filipinas to 73% among another Asian group vs 15% among White females. Nearly all Asian ethnic groups had lower proportions (45%-67%) of localized stage disease relative to White females (69%). Relative to White females, risk of all-cause mortality in fully adjusted models was lower for Chinese females (HR, 0.77; 95% CI, 0.62-0.96), Filipina females (HR, 0.81; 95% CI, 0.67-0.99), Japanese females (HR, 0.71; 95% CI, 0.54-0.93), and Asian females identifying as multiple races or ethnicities, not Native Hawaiian or Pacific Islander (HR, 0.67; 95% CI, 0.51-0.89). Lower adjusted risk of all-cause mortality was observed for Chinese (HR, 0.73; 95% CI, 0.57-0.94) and Filipina (HR, 0.79; 95% CI, 0.63-0.94) females born outside the US and Japanese females (HR, 0.63; 95% CI, 0.45-0.90) and Asian females with multiple races or ethnicities, not Native Hawaiian or Pacific Islander (HR, 0.59; 95% CI, 0.39-0.88) born in the US compared with White females. Conclusions and Relevance: In this pooled cohort study of females with breast cancer, several Asian groups had lower risk of all-cause mortality, even after accounting for clinical, sociodemographic, reproductive, lifestyle, and neighborhood factors. Identification of the specific resiliency factors will provide insights into mechanisms that may improve survival after breast cancer.

Indexed as

AsianBreast NeoplasmsAdultAgedCaliforniaCohort StudiesFemaleHawaiiHumansMiddle AgedProportional Hazards ModelsWhite

Identifiers

PMID42384382
PMCPMC13324866

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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.