Evidence map›Paper›PMID 40697677›Full record

ArticleGenetics in medicine open2025

A comparison of family health history of breast cancer, colorectal cancer, and diabetes in self-reported survey and electronic health records data, All of Us Research Program.

Ridgely Fisk Green, Ramal Moonesinghe, Sun Hee Rim, Katherine Kolor, Danielle Rasooly, Kevin Littrell, Scott Bowen, W David Dotson, Muin J Khoury

Abstract read
In one paragraph

Article in Genetics in medicine open, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Knowledge, Perceptions, and Barriers to Collection of Family Health History Data.Journal of the American Board of Family Medicine : JABFM · 2026
    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.

Ridgely Fisk GreenOffice of Genomics and Precision Public Health, Centers for Disease Control and Prevention, Atlanta, GA.
Ramal MoonesingheOffice of Genomics and Precision Public Health, Centers for Disease Control and Prevention, Atlanta, GA.
Sun Hee RimDivision of Cancer Prevention and Control, Centers for Disease Control and Prevention, Atlanta, GA.
Katherine KolorOffice of Genomics and Precision Public Health, Centers for Disease Control and Prevention, Atlanta, GA.
Danielle RasoolyOffice of Genomics and Precision Public Health, Centers for Disease Control and Prevention, Atlanta, GA.
Kevin LittrellDepartment of Neurology, Department of Internal Medicine, George Washington University, Washington, DC.
Scott BowenOffice of Genomics and Precision Public Health, Centers for Disease Control and Prevention, Atlanta, GA.
W David DotsonOffice of Genomics and Precision Public Health, Centers for Disease Control and Prevention, Atlanta, GA.
Muin J KhouryOffice of Genomics and Precision Public Health, Centers for Disease Control and Prevention, Atlanta, GA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Purpose: We used data from the Methods: We calculated percentages and standard errors of participants who accessed the FHH survey, reported no FHH knowledge, had EHR data available, had FHH data in the survey and EHR, and had FHH in the survey or EHR that was not captured in the other data source for breast cancer, colorectal cancer, and diabetes. We stratified by age, race and ethnicity, sex, sexual orientation, household income, employment status, education level, marital status, and health insurance status. To determine significant differences, we calculated absolute and relative disparity, Z-tests, and Results: We found significant disparities in accessing the survey and reporting no FHH knowledge across almost all sociodemographic subgroups. Most FHH reported in the survey was not captured in the EHR data, most significantly for participants who were aged 20 to 29, were students, did not graduate high school, were never married, or had no health insurance. Conclusion: Our study showed significant sociodemographic disparities in FHH survey access, FHH knowledge, and FHH captured in EHR structured data, which could widen inequities in access to FHH-based interventions.

Indexed as

Breast cancerColorectal cancerDiabetesElectronic health recordsFamily health history

Identifiers

PMID40697677
PMCPMC12281378

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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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.