Evidence map›Paper›PMID 20195174›Full record

ArticleMedical care2010

Geographic access and the use of screening mammography.

Elena B Elkin, Nicole M Ishill, Jacqueline G Snow, Katherine S Panageas, Peter B Bach, Laura Liberman, Fahui Wang, Deborah Schrag

Abstract read
In one paragraph

Article in Medical care, 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 52 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
52citing papers in PubMed, 2 pooled it
–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

52 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Pooled it
  2. Geographic Access to Mammography and Its Relationship to Breast Cancer Screening and Stage at Diagnosis: A Systematic Review.Women's health issues : official publication of the Jacobs Institute of Women's Health
    Pooled it
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  12. Breast Cancer Disparities and the Impact of Geography.Surgical oncology clinics of North America · 2022
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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.

Elena B ElkinDepartment of Epidemiology and Biostatistics, Memorial Sloan-Kettering Cancer Center, 1275 York Avenue, New York, NY 10021, USA. elkine@mskcc.org
Nicole M Ishill
Jacqueline G Snow
Katherine S Panageas
Peter B Bach
Laura Liberman
Fahui Wang
Deborah Schrag

Funding

X-RAY CRYSTALLOGRAPHYP30CA008748 · NCI · SLOAN-KETTERING INSTITUTE FOR CANCER RES · PI Elisa de Stanchina · 1985 to 2026
$347.4M
Effects of Mammography Capacity and Accessiblity on Utilization and OutcomesK07CA118189 · NCI · SLOAN-KETTERING INST CAN RESEARCH · PI ELKIN, ELENA B · 2007 to 2011
$671k
NCI NIH HHS K07 CA118189NCI NIH HHS K07-CA118189NCI NIH HHS P30 CA008748
6 · The paper itself

Abstract

backgroundScreening mammography rates vary geographically and have recently declined. Inadequate mammography resources in some areas may impair access to this technology. We assessed the relationship between availability of mammography machines and the use of screening.

methodsThe location and number of all mammography machines in the United States were identified from US Food and Drug Administration records of certified facilities. Inadequate capacity was defined as <1.2 mammography machines per 10,000 women age 40 or older, the threshold required to meet the Healthy People 2010 target screening rate. The impact of capacity on utilization was evaluated in 2 cohorts: female respondents age 40 or older to the 2006 Behavioral Risk Factor Surveillance System survey (BRFSS) and a 5% nationwide sample of female Medicare beneficiaries age 65 or older in 2004-2005.

resultsAbout 9% of women in the BRFSS cohort and 13% of women in the Medicare cohort lived in counties with <1.2 mammography machines per 10,000 women age 40 or older. In both cohorts, residence in a county with inadequate mammography capacity was associated with lower odds of a recent mammogram (adjusted odds ratio in BRFSS: 0.89, 95% CI: 0.80-0.98, P < 0.05; adjusted odds ratio in Medicare: 0.86, 95% CI: 0.85-0.87, P < 0.05), controlling for demographic and health care characteristics.

conclusionIn counties with few or no mammography machines, limited availability of imaging resources may be a barrier to screening. Efforts to increase the number of machines in low-capacity areas may improve mammography rates and reduce geographic disparities in breast cancer screening.

Indexed as

GeographyHealth Services AccessibilityAdultAgedAged, 80 and overBehavioral Risk Factor Surveillance SystemCohort StudiesDiagnostic EquipmentFemaleHumansMass ScreeningMedicareMiddle AgedUltrasonography, MammaryUnited States

Identifiers

PMID20195174
PMCPMC3647348

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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.