Evidence map›Paper›PMID 40298936›Full record

ArticleCancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology2025

Applying a Novel Measure of Community-Level Healthcare Access to Assess Breast Cancer Care Timeliness.

Matthew R Dunn, Hongqian Niu, Didong Li, Marc A Emerson, Caroline A Thompson, Hazel B Nichols, Mya L Roberson, Stephanie B Wheeler, Terry Hyslop, Jennifer Elston Lafata and 1 more

Abstract read
In one paragraph

Article in Cancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Article
  3. 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

11 authors.

Matthew R DunnDepartment of Epidemiology, University of North Carolina, Chapel Hill, North Carolina.ORCID 0000-0001-7618-4983
Hongqian NiuDepartment of Biostatistics, University of North Carolina, Chapel Hill, North Carolina.ORCID 0009-0003-6032-4672
Didong LiDepartment of Biostatistics, University of North Carolina, Chapel Hill, North Carolina.ORCID 0000-0001-9146-705X
Marc A EmersonDepartment of Epidemiology, University of North Carolina, Chapel Hill, North Carolina.ORCID 0000-0001-7535-1137
Caroline A ThompsonDepartment of Epidemiology, University of North Carolina, Chapel Hill, North Carolina.ORCID 0000-0001-9990-9756
Hazel B NicholsDepartment of Epidemiology, University of North Carolina, Chapel Hill, North Carolina.ORCID 0000-0003-0972-1560
Mya L RobersonLineberger Comprehensive Cancer Center, University of North Carolina, Chapel Hill, North Carolina.ORCID 0000-0002-9908-910X
Stephanie B WheelerLineberger Comprehensive Cancer Center, University of North Carolina, Chapel Hill, North Carolina.ORCID 0000-0002-3399-9047
Terry HyslopThomas Jefferson University, Sidney Kimmel Cancer Center, Philadelphia, Pennsylvania.ORCID 0000-0002-3930-8876
Jennifer Elston LafataLineberger Comprehensive Cancer Center, University of North Carolina, Chapel Hill, North Carolina.ORCID 0000-0002-8550-6195
Melissa A TroesterDepartment of Epidemiology, University of North Carolina, Chapel Hill, North Carolina.ORCID 0000-0001-9506-6624

Funding

Virology Research Program (Program 4)P30CA016086 · NCI · UNIV OF NORTH CAROLINA CHAPEL HILL · PI JAMES E BEAR · 1985 to 2026
$201.5M
Tissue Procurement & PathologyP50CA058223 · NCI · UNIV OF NORTH CAROLINA CHAPEL HILL · PI CHARLES M PEROU · 1992 to 2026
$59.3M
Cancer Control Education ProgramT32CA057726 · NCI · UNIV OF NORTH CAROLINA CHAPEL HILL · PI Melissa B Gilkey, Melissa A. Troester · 2017 to 2026
$3.7M
P53, DNA Repair Imbalance, and Immune Response in Breast Cancer Mortality DisparitiesR01CA253450 · NCI · UNIV OF NORTH CAROLINA CHAPEL HILL · PI KATHERINE A. HOADLEY, Melissa A. Troester · 2021 to 2026
$3.6M
Cancer Care Quality Training ProgramT32CA116339 · NCI · UNIV OF NORTH CAROLINA CHAPEL HILL · PI ETHAN M. BASCH, Stephanie Brooke Wheeler · 2018 to 2026
$3.0M
Breast Cancer Research Foundation (BCRF) HEI-23-003National Cancer Institute (NCI) P30CA016080National Cancer Institute (NCI) P30CA016086National Cancer Institute (NCI) P50-CA058223National Cancer Institute (NCI) R01CA253450NCI NIH HHS P30 CA016086NCI NIH HHS P50 CA058223NCI NIH HHS R01 CA253450NCI NIH HHS T32 CA057726NCI NIH HHS T32 CA116339Susan G. Komen (SGK) OG22873776Susan G. Komen (SGK) OGUNC1202Susan G. Komen (SGK) SAC210102Susan G. Komen (SGK) TREND21686258U.S. Department of Defense (DOD) HT94252310235
6 · The paper itself

Abstract

backgroundGeographic disparities in breast cancer outcomes exist. Few studies have examined community- and health system-level factors associated with care timeliness, an important measure of care quality.

methodsThe Carolina Breast Cancer Study is a population-based cohort of 2,998 women with invasive breast cancer (2008-2013). Using latent class modeling, patients' census tracts of residence were characterized by healthcare accessibility and affordability. Centers for Medicare and Medicaid Services ratings were used to classify hospitals as low- or high-quality. Six timeliness outcomes were assessed: (i) lacking prediagnostic regular care, (ii) being underscreened, (iii) late-stage diagnosis, (iv) delayed treatment initiation, (v) prolonged treatment duration, and (vi) lacking receipt of Oncotype DX genomic testing. Associations of geographic accessibility, healthcare affordability, and hospital-level quality with care timeliness were evaluated with relative frequency differences (RFD) and 95% confidence intervals (CI).

resultsCompared with "high-accessibility, high-affordability" census tracts, patients residing in "low-accessibility, low-affordability" areas were more likely to be underscreened (RFD = 18.7%, CI, 13.0, 24.3), have late-stage diagnosis (RFD = 6.2%, CI, 2.4, 10.1), and experience prolonged treatment (RFD = 6.9%, CI, 1.4, 12.3). "High-accessibility, low-affordability" areas had the highest frequency of treatment delay (RFD = 9.3%, CI, 3.9, 14.7). Initial surgery at a high-quality facility was associated with less delayed treatment (RFD = -3.9%, CI, -7.5, -0.4) and prolonged treatment (RFD = -5.9%, CI, -9.9, -1.9).

conclusionsCommunity- and health system-level factors were associated with timely breast cancer care. IMPACT: Policy efforts to improve access in communities should consider multiple dimensions of access, including geospatial accessibility and affordability.

Indexed as

Breast NeoplasmsHealth Services AccessibilityTime-to-TreatmentAdultAgedFemaleHealthcare DisparitiesHumansMiddle AgedNorth CarolinaQuality of Health CareUnited States

Identifiers

PMID40298936
PMCPMC12213174

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.