Evidence map›Paper›PMID 41435205›Full record

ArticleJCO clinical cancer informatics2025

Geospatial Analysis of Commission on Cancer-Accredited Centers Within Cancer Care Utilization-Based Catchment Areas.

Nicole Rademacher, Connor Sisk, Joshua S Richman, Kristy Broman, Changzhen Wang

Abstract read
In one paragraph

Article in JCO clinical cancer informatics, 2025. 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
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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

5 authors.

Nicole RademacherDepartment of Surgery, University of Alabama at Birmingham, Birmingham, AL.
Connor SiskHeersink School of Medicine, University of Alabama at Birmingham, Birmingham, AL.ORCID 0009-0004-0191-6261
Joshua S RichmanDepartment of Surgery, University of Alabama at Birmingham, Birmingham, AL.ORCID 0000-0002-6166-7488
Kristy BromanDepartment of Surgery, University of Alabama at Birmingham, Birmingham, AL.ORCID 0000-0002-4679-4665
Changzhen WangDepartment of Geography and the Environment, The University of Alabama, Tuscaloosa, AL.ORCID 0000-0002-3065-1168

Funding

DEEP SOUTH TRANSLATIONAL RESEARCH MENTORED CAREER DEVELOPMENT PROGRAMKL2TR003097 · NCATS · UNIVERSITY OF ALABAMA AT BIRMINGHAM · PI SAAG, KENNETH G · 2019 to 2023
$5.2M
Geographic Variations in Health Care: Overcoming Bias, Expanding Generalizability, and Improving RelevanceR01LM014233 · NLM · DARTMOUTH COLLEGE · PI Alistair James O'MALLEY · 2024 to 2026
$1.1M
Leveraging Health Systems to Increase Implementation of Evidence-Based Surgical Cancer CareK08CA283001 · NCI · UNIVERSITY OF TX MD ANDERSON CAN CTR · PI BROMAN, KRISTY KUMMEROW · 2023 to 2025
$592k
Development of Cancer Care Shortage Areas Using Geospatial Analysis and Spatial Network Optimization TechniquesR03CA304056 · NCI · UNIVERSITY OF ALABAMA IN TUSCALOOSA · PI WANG, CHANGZHEN · 2025 to 2025
$164k
AHRQ HHS T32 HS013852NCATS NIH HHS KL2 TR003097NCI NIH HHS K08 CA283001NCI NIH HHS R03 CA304056NLM NIH HHS R01 LM014233
6 · The paper itself

Abstract

purposeThe Commission on Cancer (CoC) seeks to expand access to high-quality care through community engagement standards targeting centers' catchment areas and efforts to accredit centers in more areas including rural hospitals. Little is known about the social, environmental, and geographic characteristics of their catchment areas. To support future investigation into the impact of CoC-accredited centers, this study compares characteristics of cancer care utilization-based catchment areas, termed

methodsGeocoded CoC-accredited centers and cancer care patient flows extracted from Medicare claims data were used to delineate CSAs using a spatially constrained community detection method. Characteristics including environmental justice index (EJI), social vulnerability index (SVI), rurality, travel time, and localization index (LI, a ratio of cancer care received by patients within a CSA) were aggregated by CSA. A logistic regression model was created to evaluate characteristics associated with the presence of a CoC-accredited center within a CSA.

resultsSix hundred sixty-eight CSAs were defined, of which 511 CSAs had at least one CoC-accredited center. CSAs with CoC-accredited centers had lower health vulnerability (odds ratio [OR], 0.65 [95% CI, 0.427 to 0.993]) and lower racial and ethnic minority status vulnerability (OR, 0.61 [95% CI, 0.424 to 0.886]), but no differences for other components of the EJI or SVI. These CSAs also had higher LIs, meaning patients remained in their local CSA for care (OR, 9.00 [95% CI, 2.408 to 33.640] for high

conclusionMinority and comorbid populations may have more difficulty accessing cancer center care, further exacerbating observed variations in cancer outcomes. Cancer centers may address this by broadening their outreach into at-risk catchment areas.

Indexed as

AccreditationCancer Care FacilitiesCatchment Area, HealthNeoplasmsAgedFemaleHealth Services AccessibilityHumansMaleMedicareUnited States

Identifiers

PMID41435205
PMCPMC13186605

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