Evidence map›Paper›PMID 40973843›Full record

ArticleJNCI cancer spectrum2025

Geospatial disparities, health system factors, and breast cancer care quality.

Michael J Hassett, Angela C Tramontano, Hajime Uno, Debra P Ritzwoller, Rinaa S Punglia

Abstract read
In one paragraph

Article in JNCI cancer spectrum, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

5 authors.

Michael J HassettDepartment of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA, United States.ORCID 0000-0003-0754-3510
Angela C TramontanoDepartment of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA, United States.ORCID 0000-0001-5718-6297
Hajime UnoHarvard Medical School, Harvard University, Boston, MA, United States.ORCID 0000-0003-0622-8471
Debra P RitzwollerInstitute for Health Research, Kaiser Permanente Colorado, Aurora, CO, United States.ORCID 0000-0001-7116-8458
Rinaa S PungliaHarvard Medical School, Harvard University, Boston, MA, United States.ORCID 0000-0002-9289-1554

Funding

VectorP30CA006516 · NCI · DANA-FARBER CANCER INSTITUTE · PI Irene M. Ghobrial · 1985 to 2026
$330.6M
Survival Data Analysis using general censoring-free incident rateR01GM152499 · NIGMS · DANA-FARBER CANCER INST · PI Hajime Uno · 2024 to 2026
$1.0M
American Cancer Society Grant RSG-18-097-01-CPPBDFCI Nodal Award Program P30CA006516NCI NIH HHS HHSN261201800009CNCI NIH HHS HHSN261201800009INCI NIH HHS HHSN261201800015CNCI NIH HHS HHSN261201800015INCI NIH HHS HHSN261201800032CNCI NIH HHS HHSN261201800032INCI NIH HHS P30 CA006516NIGMS NIH HHS R01 GM152499
6 · The paper itself

Abstract

backgroundDespite long-standing efforts to improve breast cancer care quality, wide performance gaps persist. We sought to identify regions demonstrating meaningfully low performance and characterize health-system and health-profession factors associated with geospatial disparities.

methodsWe used the Surveillance, Epidemiology, and End Results-Medicare linked database and the Health Resources and Services Administration area health resource file to characterize performance across health-care service areas using 4 metrics: diagnosis stage, chemotherapy, radiation, and endocrine therapy. We used principal component analysis to identify health-care facility and provider characteristics associated with performance; and hierarchical multivariable modeling to attribute total variance proportionally to 5 domains: patient characteristics, health service area region, health-care facility and provider characteristics, randomness, and unexplained.

resultsAmong 31,571 women aged 66-79 diagnosed 2007-2013 with stage I-III breast cancer and treated with surgery, 61% had stage I disease, 23% received chemotherapy, 54% received radiation therapy, and 42% received endocrine therapy. Health system factors explained more variance for endocrine therapy (21%), chemotherapy (12%), and radiation therapy (12%), compared with geospatial region or patient characteristics. Health profession factors were associated with quality for stage, radiation therapy, and chemotherapy; health-care facility factors were associated with quality for stage, endocrine therapy, and chemotherapy. Patient characteristics explained <5% of observed variance.

conclusionsReassuringly, only a small number of regions demonstrated suboptimal breast cancer care. Optimal performance was associated with multidisciplinary teams and facilities with robust resources and higher volumes. Incorporating geospatial and health system factors into quality measurement efforts could foster the design of impactful quality improvement programs.

Indexed as

Breast NeoplasmsHealthcare DisparitiesQuality of Health CareAgedFemaleHumansMedicareNeoplasm StagingPrincipal Component AnalysisSEER ProgramUnited States

Identifiers

PMID40973843
PMCPMC12573247

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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.