Evidence map›Paper›PMID 39391788›Full record

ArticleWomen's health reports (New Rochelle, N.Y.)2024

Factors Associated with Abnormal Mammogram Results Among Low-Income Uninsured Populations in Medically Underserved And Rural Texas Regions.

Wen Hsin Chen, Arica Brandford, Rosaleen Bloom, Gang Han, Scott Horel, Marivel Sanchez, Anna Lichorad, Jane Bolin

Abstract read
In one paragraph

Article in Women's health reports (New Rochelle, N.Y.), 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Wen Hsin ChenDepartment of Health Policy and Management, School of Public Health, Texas A&M University, College Station, Texas, USA.
Arica BrandfordHouston Methodist Research Institute, Texas A&M University, Houston, Texas, USA.
Rosaleen BloomSchool of Nursing, Texas A&M University, College Station, Texas, USA.
Gang HanDepartment of Epidemiology and Biostatistics, School of Public Health, Texas A&M University, College Station, Texas, USA.
Scott HorelSchool of Public Health, Texas A&M University, College Station, Texas, USA.
Marivel SanchezSchool of Public Health, Texas A&M University, College Station, Texas, USA.
Anna LichoradSchool of Medicine, Texas A&M University, College Station, Texas, USA.
Jane BolinHouston Methodist Research Institute, Texas A&M University, Houston, Texas, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: This study investigated the potential associations between neighborhood characteristics, rurality, ethnicity/race, and breast cancer screening outcomes in designated Health Professional Shortage Areas in Central Texas. Limited access to preventive medical care can impact screening rates and outcomes. Previous research on the effects of factors such as rurality, neighborhood socioeconomic status, and education level on cancer prevention behaviors has yielded inconsistent results. Materials and Methods: We analyzed data from a state-funded breast and cervical cancer screening programs for disadvantaged and medically underserved individuals. A mixed-effects logistic regression model was used to assess the impact of residency characteristics (rurality, educational attainment, unemployment, and poverty) on abnormal breast cancer screening outcomes, with individual level (age, ethnicity, race, and education) as control variables. Results: During the studied time, there were 1,139 women screened and 134 abnormal mammograms found. Residency characteristics were not significantly associated with abnormal mammography outcomes at 0.05. However, individual factors are strongly associated with abnormal screening results. Non-Hispanic or Latino white women had increased odds of abnormal clinical outcomes compared with Hispanic or Latino women (OR = 2.03, CI 1.25-3.28; Conclusions: This study found a significant correlation between area-level educational characteristics and abnormal mammography outcomes. Future research should explore the contextual risk factors influencing breast cancer occurrence and develop targeted interventions for this population.

Indexed as

breast cancercommunity healthmammographypopulation healthscreening

Identifiers

PMID39391788
PMCPMC11462426

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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.