Evidence map›Paper›PMID 32178638›Full record

ArticleBMC cancer2020

Age-related differences in breast cancer mortality according to race/ethnicity, insurance, and socioeconomic status.

Yazmin San Miguel, Scarlett Lin Gomez, James D Murphy, Richard B Schwab, Corinne McDaniels-Davidson, Alison J Canchola, Alfredo A Molinolo, Jesse N Nodora, Maria Elena Martinez

Abstract read
In one paragraph

Article in BMC cancer, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers.

0numbers the graph read from it
0cells of the map it votes in
22citing 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

22 citing papers in PubMed.

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  4. Competing risks models with two time scales.Statistical methods in medical research · 2025
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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

9 authors.

Yazmin San MiguelMoores Cancer Center, University of California San Diego, La Jolla, CA, USA.
Scarlett Lin GomezDepartment of Epidemiology and Biostatistics, University of California San Francisco, San Francisco, CA, USA.
James D MurphyMoores Cancer Center, University of California San Diego, La Jolla, CA, USA.
Richard B SchwabMoores Cancer Center, University of California San Diego, La Jolla, CA, USA.
Corinne McDaniels-DavidsonSan Diego State University Institute for Public Health, San Diego, CA, USA.
Alison J CancholaDepartment of Epidemiology and Biostatistics, University of California San Francisco, San Francisco, CA, USA.
Alfredo A MolinoloMoores Cancer Center, University of California San Diego, La Jolla, CA, USA.
Jesse N NodoraMoores Cancer Center, University of California San Diego, La Jolla, CA, USA.
Maria Elena MartinezMoores Cancer Center, University of California San Diego, La Jolla, CA, USA. e8martinez@ucsd.edu.ORCID http://orcid.org/0000-0002-6728-1834

Funding

VIRAL MALIGNANCYP30CA023100 · NCI · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI Jesse Nodora · 1985 to 2026
$124.9M
Research Education CoreU54CA132384 · NCI · SAN DIEGO STATE UNIVERSITY · PI CRIPPS, RICHARD MATTHEW, CROWE, SHEILA E. · 2008 to 2022
$20.7M
Research Education CoreU54CA132379 · NCI · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI ARREDONDO, ELVA M, CROWE, SHEILA E. · 2008 to 2021
$16.1M
NCCDPHP CDC HHS U58 DP003862NCI NIH HHS CA023100-29NCI NIH HHS CA132384NCI NIH HHS HHSN261201000034CNCI NIH HHS HHSN261201000035CNCI NIH HHS HHSN261201000035INCI NIH HHS HHSN261201000140CNCI NIH HHS P30 CA023100NCI NIH HHS U54 CA132379NCI NIH HHS U54 CA132384
6 · The paper itself

Abstract

backgroundWe assessed breast cancer mortality in older versus younger women according to race/ethnicity, neighborhood socioeconomic status (nSES), and health insurance status.

methodsThe study included female breast cancer cases 18 years of age and older, diagnosed between 2005 and 2015 in the California Cancer Registry. Multivariable Cox proportional hazards modeling was used to generate hazard ratios (HR) of breast cancer specific deaths and 95% confidence intervals (CI) for older (60+ years) versus younger (< 60 years) patients separately by race/ethnicity, nSES, and health insurance status.

resultsRisk of dying from breast cancer was higher in older than younger patients after multivariable adjustment, which varied in magnitude by race/ethnicity (P-interaction< 0.0001). Comparing older to younger patients, higher mortality differences were shown for non-Hispanic White (HR = 1.43; 95% CI, 1.36-1.51) and Hispanic women (HR = 1.37; 95% CI, 1.26-1.50) and lower differences for non-Hispanic Blacks (HR = 1.17; 95% CI, 1.04-1.31) and Asians/Pacific Islanders (HR = 1.15; 95% CI, 1.02-1.31). HRs comparing older to younger patients varied by insurance status (P-interaction< 0.0001), with largest mortality differences observed for privately insured women (HR = 1.51; 95% CI, 1.43-1.59) and lowest in Medicaid/military/other public insurance (HR = 1.18; 95% CI, 1.10-1.26). No age differences were shown for uninsured women. HRs comparing older to younger patients were similar across nSES strata.

conclusionOur results provide evidence for the continued disparity in Black-White breast cancer mortality, which is magnified in younger women. Moreover, insurance status continues to play a role in breast cancer mortality, with uninsured women having the highest risk for breast cancer death, regardless of age.

Indexed as

Healthcare DisparitiesInsurance, HealthRace FactorsAdolescentAdultAgedAged, 80 and overAge FactorsBreast NeoplasmsEthnicityFemaleHumansMedicaidMiddle AgedSocial ClassUnited StatesBreast cancerMortalityYounger and older age

Identifiers

PMID32178638
PMCPMC7076958

What OpenQuestion holds

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Registered trials

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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.