Evidence map›Paper›PMID 41322725›Full record

ArticleCureus2025

Predictors of Cancer Genetic Testing Among U.S. Adults: Insights From the Health Information National Trends Survey 7.

Ananya Roy, Preksha Singh, Rushi Vaghela, Naqeeya Sabuwala, Abhi Shah, Shreyans Singhvi, Prudence Lam

Abstract read
In one paragraph

Article in Cureus, 2025. 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

7 authors.

Ananya RoyInternal Medicine, Smt. Nathiba Hargovandas Lakhmichand Municipal Medical College, Ahmedabad, IND.
Preksha SinghInternal Medicine, Smt. Nathiba Hargovandas Lakhmichand Municipal Medical College, Ahmedabad, IND.
Rushi VaghelaInternal Medicine, Smt. Nathiba Hargovandas Lakhmichand Municipal Medical College, Ahmedabad, IND.
Naqeeya SabuwalaInternal Medicine, Smt. Nathiba Hargovandas Lakhmichand Municipal Medical College, Ahmedabad, IND.
Abhi ShahInternal Medicine, Smt. Nathiba Hargovandas Lakhmichand Municipal Medical College, Ahmedabad, IND.
Shreyans SinghviInternal Medicine, G.B. Clinic, Jodhpur, IND.
Prudence LamOncology, Mount Auburn Hospital, Harvard Medical School, Cambridge, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundProgress in molecular genomics has increased the accessibility, availability, and affordability of genetic testing to correctly identify individuals at elevated risk for hereditary cancers. Understanding the sociodemographic, clinical, and behavioural factors influencing genetic testing uptake is essential to addressing disparities and guiding targeted interventions. AIM AND

objectiveThis study aimed to assess the prevalence of cancer genetic testing in U.S. adults, while correlating it with various predictors of clinical and behavioural aspects, using data from the 2024 Health Information National Trends Survey 7 (HINTS 7).

methodsWe analysed data from the HINTS 7, a nationally representative, cross-sectional survey conducted in 2024. The analytic cohort included 514 adult respondents, corresponding to an estimated 20.7 million U.S. adults. Survey-weighted bivariate analyses were used to examine patterns of genetic testing. Additionally, multivariable logistic regression estimated adjusted odds ratios (aORs) for associations between predictors and the likelihood of undergoing cancer genetic testing using Stata 19 (StataCorp LLC, College Station, TX).

resultsOverall, 23.4% of U.S. adults reported having undergone genetic testing. Compared to respondents aged 18-34, those aged 35-49 (aOR = 4.69, 95% CI: 1.90-11.56) and 50-64 (aOR = 6.60, 95% CI: 2.67-16.33) were significantly more likely to have been tested. Non-Hispanic Black adults (aOR = 5.55, 95% CI: 2.31-13.35) and individuals of "Other" racial/ethnic backgrounds (aOR = 4.37, 95% CI: 1.46-13.06) also had higher odds compared to non-Hispanic Whites. Participants with annual household incomes between $20,000 and $34,999 (aOR = 3.80, 95% CI: 1.43-10.11) and those with a personal history of cancer (aOR = 4.32, 95% CI: 1.86-9.99) were more likely to have undergone testing. Notably, higher trust in healthcare providers was inversely associated with testing (aOR = 0.18, 95% CI: 0.04-0.87), whereas use of health/wellness apps increased the odds (aOR = 2.12, 95% CI: 1.05-4.26).

conclusionsAge, race/ethnicity, income, personal cancer history, trust in healthcare providers, and engagement with digital health tools were significant predictors of cancer genetic testing. These findings underscore the need for targeted outreach and education, particularly among younger adults, certain racial/ethnic groups, and individuals with lower engagement in digital health, to ensure equitable access to genetic testing.

Indexed as

cancergenetic testinggenomicshealth disparitieshealth information national trends survey (hints)hereditary cancerpredictorsscreening uptakesociodemographic factors

Identifiers

PMID41322725
PMCPMC12662646

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LicenceCC BY
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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.