Evidence map›Paper›PMID 34778693›Full record

ArticleJCO precision oncology2021

Predictors of Population Awareness of Cancer Genetic Tests: Implications for Enhancing Equity in Engaging in Cancer Prevention and Precision Medicine.

Veda N Giri, Ayako Shimada, Amy E Leader

Open access · bronzeAbstract read
In one paragraph

Article in JCO precision oncology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
20citing papers in PubMed, 1 pooled it
3.8field-weighted citation impact, top 6% of its field
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

20 citing papers in PubMed, 1 synthesis or guideline pooled it, 28 citations in OpenAlex.

  1. Pooled it
  2. Trial
  3. Trial
  4. Article
  5. Article
  6. Review
  7. Article
  8. Article
  9. Review
  10. Article
  11. Review
  12. Article
  13. Review
  14. Article
  15. Article
  16. Article
  17. Article
  18. Awareness and use of genetic testing: An analysis of the Health Information National Trends Survey 2020.Genetics in medicine : official journal of the American College of Medical Genetics · 2022
    Article
  19. Article
  20. 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

3 authors at 1 institution in 1 country.

Veda N GiriDepartments of Medical Oncology, Cancer Biology, and Urology, Cancer Risk Assessment and Clinical Cancer Genetics, Sidney Kimmel Cancer Center, Thomas Jefferson University, Philadelphia, PA.ORCID 0000-0002-7268-5913
Ayako ShimadaDivision of Biostatistics, Department of Pharmacology and Experimental Therapeutics, Thomas Jefferson University, Philadelphia, PA.ORCID 0000-0002-9941-7660
Amy E LeaderDivision of Population Science, Department of Medical Oncology, Sidney Kimmel Cancer Center, Thomas Jefferson University, Philadelphia, PA.ORCID 0000-0002-9514-3631
Thomas Jefferson University · US

Funding

X-Ray Crystallography and Macromolecular CharacterizationP30CA056036 · NCI · THOMAS JEFFERSON UNIVERSITY · PI Andrew Chapman · 1995 to 2026
$94.8M
NCI NIH HHS P30 CA056036
6 · The paper itself

Abstract

Racial and ethnic disparities in genetic awareness (GA) can diminish the impact of personalized cancer treatment and risk assessment. We assessed factors predictive of GA in a diverse population-based sample to inform awareness strategies and reduce disparities in genetic testing.

methodsA cross-sectional study was conducted from July 2019 to August 2019, with the survey e-mailed to 7,575 adult residents in southeastern Pennsylvania and New Jersey. Constructs from National Cancer Institute Health Information and National Trends Survey assessed cancer attitudes or beliefs, health literacy, and numeracy. Characteristics were summarized with mean ± standard deviation for numeric variables and frequency counts and percentages for categorical variables. Comparison of factors by race or ethnicity (non-Hispanic White and non-Hispanic Black) and sex was conducted by

resultsOf 1,557 respondents, data from 940 respondents (the mean age was 45 ± 16.2 years, 35.5% males, and 23% non-Hispanic Blacks) were analyzed. Factors associated with higher GA included female gender (

conclusionThis population-based study conducted in the precision medicine era identified novel modifiable factors, importantly perceptions of cancer genetics and medical literacy, as predictive of GA, which informs strategies to promote equitable engagement in genetically based cancer care.

Indexed as

Health Knowledge, Attitudes, PracticeHealth Status DisparitiesAdultCross-Sectional StudiesEarly Detection of CancerFemaleGenetic TestingHealth LiteracyHumansIncomeMiddle AgedNew JerseyPennsylvaniaPrecision MedicineSurveys and Questionnaires

Identifiers

PMID34778693
PMCPMC8585288
OpenAlexW3208252600

What OpenQuestion holds

Textmetadata
Read underepoch 390

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.