Evidence map›Paper›PMID 29439783›Full record

ArticleAnnals of epidemiology2018

Geographic access to mammography facilities and frequency of mammography screening.

Patricia I Jewett, Ronald E Gangnon, Elena Elkin, John M Hampton, Elizabeth A Jacobs, Kristen Malecki, James LaGro, Polly A Newcomb, Amy Trentham-Dietz

Abstract read
In one paragraph

Article in Annals of epidemiology, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 31 papers.

0numbers the graph read from it
0cells of the map it votes in
31citing 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

31 citing papers in PubMed.

  1. Article
  2. Patient, facility, and community determinants of timely follow up after abnormal screening mammograms in Appalachia: A multilevel analysis.The Journal of rural health : official journal of the American Rural Health Association and the National Rural Health Care Association · 2026
    Article
  3. Article
  4. Associations between Insurance Status, Financial Hardship, and Rurality on Receipt of Guideline-Concordant Mammography.Cancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology · 2025
    Article
  5. Article
  6. Article
  7. Article
  8. A Novel Approach for Conducting a Catchment Area Analysis of Breast Cancer by Age and Stage for a Community Cancer Center.Cancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology · 2024
    Article
  9. Geographic access to pediatric neurosurgeons in the USA: an analysis of sociodemographic factors.Child's nervous system : ChNS : official journal of the International Society for Pediatric Neurosurgery · 2024
    Article
  10. Article
  11. Review
  12. Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. Observational
  19. Article
  20. 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

9 authors.

Patricia I JewettUniversity of Wisconsin Carbone Cancer Center, Madison; Department of Population Health Sciences, University of Wisconsin, Madison. Electronic address: pjewett@wisc.edu.
Ronald E GangnonUniversity of Wisconsin Carbone Cancer Center, Madison; Department of Population Health Sciences, University of Wisconsin, Madison; Department of Biostatistics and Medical Informatics, University of Wisconsin, Madison.
Elena ElkinDepartment of Epidemiology and Biostatistics, Memorial Sloan-Kettering Cancer Center, New York, NY.
John M HamptonUniversity of Wisconsin Carbone Cancer Center, Madison; Department of Population Health Sciences, University of Wisconsin, Madison.
Elizabeth A JacobsUniversity of Wisconsin Carbone Cancer Center, Madison; Department of Population Health Sciences, University of Wisconsin, Madison; Department of Medicine, University of Wisconsin, Madison.
Kristen MaleckiUniversity of Wisconsin Carbone Cancer Center, Madison; Department of Population Health Sciences, University of Wisconsin, Madison.
James LaGroDepartment of Urban and Regional Planning, University of Wisconsin, Madison.
Polly A NewcombFred Hutchinson Cancer Research Center, Seattle, WA; University of Washington School of Public Health, Seattle.
Amy Trentham-DietzUniversity of Wisconsin Carbone Cancer Center, Madison; Department of Population Health Sciences, University of Wisconsin, Madison.

Funding

X-RAY CRYSTALLOGRAPHYP30CA008748 · NCI · SLOAN-KETTERING INSTITUTE FOR CANCER RES · PI Nicholas D Socci · 1985 to 2026
$347.4M
UW COMPREHENSIVE CANCER CENTER SUPPORTP30CA014520 · NCI · UNIVERSITY OF WISCONSIN-MADISON · PI AMY TRENTHAM-DIETZ · 1985 to 2026
$142.6M
Statistical Data Enclave CoreP30AG017266 · NIA · UNIVERSITY OF WISCONSIN-MADISON · PI Michal Engelman · 1999 to 2026
$17.0M
RISK FACTORS AND BIOMARKERS FOR IN SITU BREAST CANCERR01CA067264 · NCI · UNIVERSITY OF WISCONSIN-MADISON · PI TRENTHAM-DIETZ, AMY · 1996 to 2013
$3.6M
PHYSICAL ACTIVITY, LIFESTYLE AND OVARIAN CANCER RISKR01CA047147 · NCI · UNIVERSITY OF WISCONSIN-MADISON · PI NEWCOMB, POLLY A · 1988 to 2007
$2.6M
NCI NIH HHS P30 CA008748NCI NIH HHS P30 CA014520NCI NIH HHS R01 CA047147NCI NIH HHS R01 CA067264
6 · The paper itself

Abstract

purposeTo assess the association between geographic access to mammography facilities and women's mammography utilization frequency.

methodsUsing data from the population-based 1995-2007 Wisconsin Women's Health study, we used proportional odds and logistic regression to test whether driving times to mammography facilities and the number of mammography facilities within 10 km of women's homes were associated with mammography frequency among women aged 50-74 years and whether associations differed between Rural-Urban Commuting Areas and income and education groups.

resultsWe found evidence for nonlinear relationships between geographic access and mammography utilization (nonlinear effects of driving times and facility density, P-values .01 and .005, respectively). Having at least one nearby mammography facility was associated with greater mammography frequency among urban women (1 vs. 0 facilities, odds ratio 1.26, 95% confidence interval, 1.09-1.47), with similar effects among rural women. Adding more facilities had decreasing marginal effects. Long driving times tended to be associated with lower mammography frequency. We found no effect modification by income, education, or urbanicity. In rural settings, mammography nonuse was higher, facility density smaller, and driving times to facilities were longer.

conclusionsHaving at least one mammography facility near one's home may increase mammography utilization, with decreasing effects per each additional facility.

Indexed as

Residence CharacteristicsTransportationAgedAged, 80 and overAmbulatory Care FacilitiesBreast NeoplasmsEarly Detection of CancerFemaleHealth Care SurveysHealth Services AccessibilityHumansMammographyMass ScreeningMiddle AgedPopulation SurveillanceRural PopulationHealth services accessibilityMammographySpatial epidemiology

Identifiers

PMID29439783
PMCPMC5819606

What OpenQuestion holds

Textmetadata
LicenceTDM
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.