Evidence map›Paper›PMID 39616300›Full record

ArticleCancer causes & control : CCC2025

Breast cancer screening needs assessment in 19 Northern California counties: geography, poverty, and racial/ethnic identity composition.

Brittany L Morgan Bustamante, Diana Miglioretti, Theresa Keegan, Eric Stewart, Anshu Shrestha, Nuen Tsang Yang, Rosemary D Cress, Luis Carvajal-Carmona, Julie Dang, Laura Fejerman

Abstract read
In one paragraph

Article in Cancer causes & control : CCC, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. Article
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.

Brittany L Morgan BustamanteUniversity of California Berkeley, Berkely, CA, USA.
Diana MigliorettiUniversity of California Davis, Davis, CA, USA.
Theresa KeeganUniversity of California Davis, Davis, CA, USA.
Eric StewartUniversity of California Berkeley, Berkely, CA, USA.
Anshu ShresthaCancer Registry of Greater California, Public Health Institute, Sacramento, CA, USA.
Nuen Tsang YangUniversity of California Davis, Davis, CA, USA.
Rosemary D CressUniversity of California Davis, Davis, CA, USA.
Luis Carvajal-CarmonaUniversity of California Davis, Davis, CA, USA.
Julie DangUniversity of California Davis, Davis, CA, USA.
Laura FejermanUniversity of California Davis, Davis, CA, USA. lfejerman@ucdavis.edu.

Funding

Staff InvestigatorsP30CA093373 · NCI · UNIVERSITY OF CALIFORNIA DAVIS · PI KC KENT LLOYD · 2002 to 2026
$84.9M
UC Davis Clinical and Translational Science CenterUL1TR001860 · NCATS · UNIVERSITY OF CALIFORNIA AT DAVIS · PI KENYON, NICHOLAS J., LYLES, COURTNEY REES · 2016 to 2025
$47.3M
University of California and UT Southwestern D-PDTCU54CA283766 · NCI · UNIVERSITY OF CALIFORNIA AT DAVIS · PI Luis Guillermo Carvajal Carmona · 2023 to 2026
$5.9M
University of California, Davis: Human Papillomavirus Cancer Free (UCD: HPV Cancer Free)K01CA258956 · NCI · UNIVERSITY OF CALIFORNIA AT DAVIS · PI Julie Dang · 2023 to 2026
$672k
Advancing Fungal Disease Epidemiology through Multilevel Modeling and Data IntegrationK01AI190048 · NIAID · UNIVERSITY OF CALIFORNIA-IRVINE · PI Brittany Lauren Morgan Bustamante · 2025 to 2026
$396k
National Institutes of Health, National Cancer Institute P30CA093373NCATS NIH HHS UL1 TR001860NCI NIH HHS K01 CA258956NCI NIH HHS P30 CA093373NCI NIH HHS U54 CA283766NIAID NIH HHS K01 AI190048
6 · The paper itself

Abstract

purposeTo describe the area-level rate of breast cancers, the percentage of early-stage diagnoses (stage I-IIa), and associations between area-level measures of poverty, racial/ethnic composition, primary care shortage, and urban/rural/frontier status for the UC Davis Comprehensive Cancer Center (UCDCCC) catchment area.

methodsUsing data from the SEER Cancer Registry of Greater California (2014-2018) and the California Department of Health Care Access and Information Medical Service Study Area, we conducted an ecological study in the UCDCCC catchment area to identify geographies that need screening interventions and their demographic characteristics.

resultsThe higher the percentage of the population identifying as Hispanic/Latino/Latinx, and the higher the percentage of the population below the 100% poverty level, the lower the odds of being diagnosed at an early-stage (OR = 0.98, 95% CI 0.96-0.99 and OR = 0.96, 95% CI 0.93-0.99, respectively). The association with poverty level was attenuated in the multivariable model when the Hispanic/Latino/Latinx population percentage was added. Several California counties had high poverty levels and differences in cancer stage distribution between racial/ethnic category groups. For all individuals combined, 65% was the lowest proportion of early-stage diagnoses for any geography. However, when stratified by racial/ethnic category, 11 geographies were below 65% for Hispanic/Latino/Latinx individuals, six for non-Hispanic Asian and Pacific Islander individuals, and seven for non-Hispanic African American/Black individuals, in contrast to one for non-Hispanic White individuals.

conclusionsAreas with lower percentages of breast cancers diagnosed at an early-stage were characterized by high levels of poverty. Variation in the proportion of early-stage diagnosis was also observed by race/ethnicity where the proportion of Hispanic/Latino/Latinx individuals was associated with fewer early-stage diagnoses. IMPACT: Results will inform the implementation of the UCDCCC mobile cancer prevention and early detection program, providing specific locations and populations to prioritize for tailored outreach, education, and screening.

Indexed as

Breast NeoplasmsEarly Detection of CancerNeeds AssessmentPovertyAdultAgedBlack or African AmericanCaliforniaEthnicityFemaleHispanic or LatinoHumansMiddle AgedSEER ProgramBreast cancerCancer center catchment areaHispanic/LatinoNeeds assessmentStage at diagnosis

Identifiers

PMID39616300
PMCPMC11982124

What OpenQuestion holds

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LicenceCC BY
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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.