Evidence map›Paper›PMID 42482746›Full record

ArticleFrontiers in oncology2026

Beyond the physician shortage: infrastructure as a rate-limiting step in breast cancer care.

Elio R Bitar, Max O Meneveau, Kaelyn C Cummins, Olivia Sears, Mohamad El Moheb, Chengli Shen, Susan Kim, Mackenzie M Mayhew, Samantha M Ruff, Allan Tsung

Abstract read
In one paragraph

Article in Frontiers in oncology, 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

10 authors.

Elio R BitarDepartment of Surgery, University of Virginia School of Medicine, Charlottesville, VA, United States.
Max O MeneveauDepartment of Surgery, University of Virginia School of Medicine, Charlottesville, VA, United States.
Kaelyn C CumminsDepartment of Surgery, University of Virginia School of Medicine, Charlottesville, VA, United States.
Olivia SearsDepartment of Surgery, University of Virginia School of Medicine, Charlottesville, VA, United States.
Mohamad El MohebDepartment of Surgery, University of Virginia School of Medicine, Charlottesville, VA, United States.
Chengli ShenDepartment of Surgery, University of Virginia School of Medicine, Charlottesville, VA, United States.
Susan KimDepartment of Surgery, University of Virginia School of Medicine, Charlottesville, VA, United States.
Mackenzie M MayhewDepartment of Surgery, University of Virginia School of Medicine, Charlottesville, VA, United States.
Samantha M RuffDepartment of Surgery, University of Virginia School of Medicine, Charlottesville, VA, United States.
Allan TsungDepartment of Surgery, University of Virginia School of Medicine, Charlottesville, VA, United States.

Funding

Genetic and Metabolic Determinants of 25(OH)D levels at Baseline and One Year: Findings from a Dose Ranging Vitamin D trialD43TW009118 · FIC · AMERICAN UNIVERSITY OF BEIRUT · PI FULEIHAN, GHADA ELHAJJ · 2012 to 2024
$2.5M
FIC NIH HHS D43 TW009118
6 · The paper itself

Abstract

Background: Breast cancer is the most common cancer among women in the United States, yet early detection and survival vary widely across regions. Physician shortages and limited facility access are both implicated, but whether local infrastructure modifies the association between physician workforce availability and breast cancer outcomes remains uncertain. Clarifying this relationship is critical to guide policy and investment. Study design: This county-level cross-sectional study used data from the Area Health Resource File, Behavioral Risk Factor Surveillance System, and Centers for Disease Control and Prevention. Provider density was defined as the number of primary care physicians and obstetrician-gynecologists (screening) or surgeons and radiation oncologists (treatment) per 100, 000 women aged 50-74. Facility availability was defined as the presence of mammography services (screening) and surgical and chemotherapy services (treatment). A neighboring-county facility index estimated regional access. Outcomes were county-level screening rates, late-stage diagnoses, and mortality. Adjusted generalized linear models with provider density-by-facility availability interaction terms estimated whether the association between provider density and breast cancer outcomes in women aged 50-74 differed according to local facility availability. Results: High-density counties were more likely to be urban, socioeconomically advantaged, and have mammography facilities (p<0.001). In adjusted models, greater provider density was associated with increased screening (β=1.49, p<0.001) and decreased late-stage diagnosis (β=-1.29, p<0.001) and mortality (β=-1.09, p<0.001), but only when facilities were available. Among counties lacking local facilities, more neighboring counties with screening or treatment resources was associated with higher screening (β=1.23, p=0.047) and lower mortality (β=-1.69, p=0.023). Conclusions: Among women aged 50-74 years, provider density was associated with more favorable outcomes only when facilities were available, suggesting that increasing workforce availability alone may be insufficient without local healthcare infrastructure. Aligning workforce expansion with infrastructure investment may reduce disparities in breast cancer outcomes.

Indexed as

breast cancergeographic variationhealthcare infrastructurehealth disparitiesprovider densityscreening access

Identifiers

PMID42482746
PMCPMC13384824

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.