ArticleRadiology. Imaging cancer2025
Sociodemographic Predictors of County-Level Mammography Screening Rates in the United States.
Article in Radiology. Imaging cancer, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.
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.
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.
Who cites it
2 citing papers in PubMed.
- Factors associated with HCV coinfection and preferences for HCV screening services among people living with HIV/AIDS.BMC infectious diseases · 2026Article
- Sociodemographic Factors Matter in Screening Mammography.Radiology. Imaging cancer · 2026Article
Corrections and comments
- Commented on by
Authors and funding
7 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Purpose To evaluate predictors of mammography engagement at the county level to better understand the challenges associated with population-based screening in the United States. Materials and Methods This retrospective, geospatial, cross-sectional study conducted from March 2024 to September 2024 used data from the 2023 National Cancer Institute's Small Area Estimates, County Health Rankings, and the Atlas of Rural and Small-Town America. Univariable linear regression analyses were conducted to evaluate the relationship between sociodemographic variables and county-level mammography screening rates. Multivariable linear regression was performed to create an average model of mammography screening rates as a function of county-level sociodemographic variables, which was then used to assess county screening performance after adjusting for these factors. Results Information obtained from 3121 counties was included in this study. Higher percentages of White residents, residents older than 18 years, women, rural residents, and high school graduates were positively associated with county-level screening rates, while higher percentages of non-Black minority residents, residents with limited English proficiency, and uninsured residents were negatively associated with county-level mammography screening rates (
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
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.