Evidence map›Paper›PMID 40003402›Full record

ArticleInternational journal of environmental research and public health2025

An Investigation of Travel Distance and Timeliness of Breast Cancer Treatment Among a Diverse Cohort in the United States.

Swann Arp Adams, Oluwole Adeyemi Babatunde, Whitney E Zahnd, Peiyin Hung, Karen E Wickersham, Nathaniel Bell, Jan M Eberth

Abstract read
In one paragraph

Article in International journal of environmental research and public health, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Ki-67 correlations in breast cancer.Journal of medicine and life · 2025
    Article
  6. 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

7 authors.

Swann Arp AdamsDepartment of Biobehavioral Health and Nursing Science, College of Nursing, University of South Carolina, Columbia, SC 29208, USA.ORCID 0000-0001-5779-6802
Oluwole Adeyemi BabatundeDepartment of Psychiatry, Prisma Health, Greer, SC 29650, USA.ORCID 0000-0002-7219-5674
Whitney E ZahndDepartment of Health Policy and Management, College of Public Health, University of Iowa, Iowa City, IA 52242, USA.
Peiyin HungHealth Services, Policy, and Management Department, Arnold School of Public Health, University of South Carolina, Columbia, SC 29208, USA.ORCID 0000-0002-1529-0819
Karen E WickershamDepartment of Biobehavioral Health and Nursing Science, College of Nursing, University of South Carolina, Columbia, SC 29208, USA.
Nathaniel BellInstitute for Families in Society, College of Social Work, University of South Carolina, Columbia, SC 29208, USA.ORCID 0000-0001-5081-0034
Jan M EberthDepartment of Health Management and Policy, Drexel University, Philadelphia, PA 19104, USA.

Funding

A Geospatial Investigation of Breast Cancer TreatmentR15CA179355 · NCI · UNIVERSITY OF SOUTH CAROLINA AT COLUMBIA · PI ADAMS, SWANN ARP · 2014 to 2014
$426k
NCI NIH HHS R15 CA179355NIH HHS 1K00CA222722-01S1NIH HHS 1R15CA179355-01A1
6 · The paper itself

Abstract

Travel to and from distant cancer treatment facilities can place a significant burden on cancer patients, particularly rural and minority survivors. Thus, the purpose of our investigation was to examine the association between patient travel distance and delays in types of treatment for breast cancer (surgery, radiation, chemotherapy, and hormonal therapy) and treatment delays. Using a novel linkage between the state cancer registry and administrative data from Medicaid and a private insurance plan, 2155 BC patients were successfully linked to create the cohort. ArcGIS was used to geocode all case residences and treatment facility addresses and calculate network distance between the residence and each facility. Logistic regression models were used to calculate the adjusted odds of being delayed versus timely by street distance. Odds of late surgery were increased by 1% (95% CI: 1.00, 1.01) for each one-mile increase from the patient's residence to the treatment facility. In race-stratified models, the odds of late treatment for Black patients increased by 3% per mile (95% CI 1.01, 1.06) for radiation. Increased travel distance appears to significantly increase treatment delays for surgical, radiation, and chemotherapeutic treatments for women with BC, especially among Black women.

Indexed as

Breast NeoplasmsHealth Services AccessibilityTime-to-TreatmentTravelAdultAgedCohort StudiesFemaleHumansMiddle AgedUnited StatesAfrican Americansbreast neoplasmhealth care disparitiesmedical geographyrural populationstime-to-treatment

Identifiers

PMID40003402
PMCPMC11855575

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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.