Evidence map›Paper›PMID 33142015›Full record

ArticleJournal of genetic counseling2021

State of recent literature on communication about cancer genetic testing among Latinx populations.

Daniel Chavez-Yenter, Wen-Ying Sylvia Chou, Kimberly A Kaphingst

Abstract read
In one paragraph

Article in Journal of genetic counseling, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing 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

12 citing papers in PubMed.

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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.

Daniel Chavez-YenterDepartment of Communication, University of Utah, Salt Lake City, UT, USA.
Wen-Ying Sylvia ChouHealth Communication and Informatics Research Branch, National Cancer Institute, Rockville, MD, USA.
Kimberly A KaphingstDepartment of Communication, University of Utah, Salt Lake City, UT, USA.

Funding

NCI NIH HHS HHSN261201700078P
6 · The paper itself

Abstract

Cancer-related genetic testing (hereafter CGT) has transformed cancer prevention, treatment, and care. Researchers debate whether diffusion and use of genetic testing will reduce or widen cancer health disparities through effects on improving or worsening cancer-related mortality, morbidity, and outcomes that disproportionately affect racial and ethnic minority populations. Cancer disparities by race and ethnicity have been associated with social determinants of health and healthcare access and experience. However, little research has explored how communication about CGT may contribute to these disparities. As such, the goal of this study was to characterize the literature published between 2010 and 2017 on communication about CGT among Latinx populations through a secondary analysis of papers identified in a larger scoping review. We found thirteen (2.5%) of 513 papers in the parent scoping review had over 50% Latinx representation; only nine of these (69%) had fully Latinx comprised study cohorts. The majority of the 13 identified studies (n = 9) were conducted to assess knowledge and attitudes regarding CGT. Most studies included services or materials in both Spanish and English. Few studies assessed language preference or acculturation or compared outcomes across sub-ethnicities. We identified opportunities for researchers to explore differences in outcomes by language preference and acculturation, and between sub-ethnicities in future studies. Leveraging a greater understanding of the heterogeneity within the Latinx population will allow genetics researchers and providers to improve utilization of CGT and therein health outcomes to advance health equity.

Indexed as

EthnicityNeoplasmsCommunicationGenetic TestingHumansMinority Groupscancercommunicationdisparitiesgenetic testingLatinx/Latinoscoping review

Identifiers

PMID33142015
PMCPMC8730654

What OpenQuestion holds

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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.