Evidence map›Paper›PMID 40900632›Full record

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

An Ecologic Analysis of the Association of Regional Cancer Center Presence with Cancer Mortality for the Continuous United States.

Nataki Duncan, Chimaraije Amu-Nnadi, Kelsey B Montgomery, Nicole Rademacher, Changzhen Wang, Joshua S Richman, Smita Bhatia, Kristy K Broman

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 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. Observational
  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

8 authors.

Nataki DuncanDepartment of Internal Medicine, Piedmont Macon Medical Center, Macon, Georgia.ORCID 0009-0004-7054-5142
Chimaraije Amu-NnadiRutgers University, New Brunswick, New Jersey.ORCID 0000-0002-9077-5197
Kelsey B MontgomeryDepartment of Surgery, University of Alabama at Birmingham, Birmingham, Alabama.ORCID 0000-0002-1284-1830
Nicole RademacherDepartment of Surgery, University of Alabama at Birmingham, Birmingham, Alabama.ORCID 0000-0001-9278-644X
Changzhen WangDepartment of Geography and the Environment, The University of Alabama, Tuscaloosa, Alabama.ORCID 0000-0002-3065-1168
Joshua S RichmanInstitute for Cancer Outcomes and Survivorship, University of Alabama at Birmingham, Birmingham, Alabama.ORCID 0000-0002-6166-7488
Smita BhatiaInstitute for Cancer Outcomes and Survivorship, University of Alabama at Birmingham, Birmingham, Alabama.ORCID 0000-0002-7755-5683
Kristy K BromanDepartment of Surgery, University of Alabama at Birmingham, Birmingham, Alabama.ORCID 0000-0002-4679-4665

Funding

DEEP SOUTH TRANSLATIONAL RESEARCH MENTORED CAREER DEVELOPMENT PROGRAMKL2TR003097 · NCATS · UNIVERSITY OF ALABAMA AT BIRMINGHAM · PI SAAG, KENNETH G · 2019 to 2023
$5.2M
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
American College of Surgeons (ACS)Conquer Cancer Foundation (CCF)Division of Cancer Prevention, National Cancer Institute (DCP, NCI) K08CA283001NCATS NIH HHS KL2 TR003097NCI NIH HHS K08 CA283001NCI NIH HHS R03 CA304056
6 · The paper itself

Abstract

backgroundTreatment at a cancer center improves outcomes for individual patients, but the impact of cancer centers on the regions they serve is unknown. This study examines the association between cancer center presence and cancer mortality within health service areas (HSA), which define US regional care markets.

methodsCancer centers and cancer mortality were mapped to HSAs using geospatial analysis. The association between cancer center presence and cancer mortality was analyzed using a multivariable spatial lag model, adjusting for the percent of incident cases presenting at late stage, social vulnerability, environmental burden, and rurality. Results are reported as deaths per 100,000 people with 95% confidence interval (CI).

resultsOf 940 HSAs, 43% (n = 407) contained at least one cancer center. HSAs with a cancer center had lower cancer mortality than those without a cancer center [158 (95% CI, 155.9-159.5) versus 165 (95% CI, 162.5-166.6) deaths per 100,000 people]. In adjusted analyses, metropolitan HSAs with cancer centers had 4.4 fewer deaths (-8.4 to -0.4) than those without cancer centers whereas there was no observed effect of cancer center presence in nonmetropolitan HSAs (1.4; 95% CI, -1.4 to 4.3). Factors associated with higher cancer mortality were late stage at presentation and greater environmental burden.

conclusionsCancer center presence within metropolitan healthcare markets was associated with modestly lower cancer mortality. IMPACT: There is a need to evaluate underlying mechanisms whereby cancer center presence may affect population-level cancer mortality in metropolitan, but not nonmetropolitan HSAs, including direct patient care and indirect effects such as community health promotion.

Indexed as

Cancer Care FacilitiesNeoplasmsAgedFemaleHumansMaleMiddle AgedUnited States

Identifiers

PMID40900632
PMCPMC12665173

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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.