Evidence map›Paper›PMID 29385592›Full record

ReviewTranslational behavioral medicine2018

Communication of cancer-related genetic and genomic information: A landscape analysis of reviews.

Emily B Peterson, Wen-Ying Sylvia Chou, Anna Gaysynsky, Melinda Krakow, Ashley Elrick, Muin J Khoury, Kimberly A Kaphingst

Abstract readReview
In one paragraph

Review in Translational behavioral medicine, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 43 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
43citing papers in PubMed, 1 pooled it
–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

43 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. Article
  4. A scalable new model of germline cancer genomic care delivery: Assessing psychological outcomes.Genetics in medicine : official journal of the American College of Medical Genetics · 2026
    Article
  5. Review
  6. Article
  7. Article
  8. Review
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Intersectionality,Cancers · 2024
    Article
  15. Article
  16. Article
  17. Article
  18. Article
  19. Review
  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

7 authors.

Emily B PetersonDivision of Cancer Control and Population Sciences, National Cancer Institute, National Institutes of Health, Rockville, MD, USA.
Wen-Ying Sylvia ChouDivision of Cancer Control and Population Sciences, National Cancer Institute, National Institutes of Health, Rockville, MD, USA.
Anna GaysynskyDivision of Cancer Control and Population Sciences, National Cancer Institute, National Institutes of Health, Rockville, MD, USA.
Melinda KrakowDivision of Cancer Control and Population Sciences, National Cancer Institute, National Institutes of Health, Rockville, MD, USA.
Ashley ElrickHuntsman Cancer Institute, University of Utah, Salt Lake City, UT, USA.
Muin J KhouryOffice of Public Health Genomics, Centers for Disease Prevention and Control, Atlanta, GA, USA.
Kimberly A KaphingstHuntsman Cancer Institute, University of Utah, Salt Lake City, UT, USA.

Funding

University of Utah Center for Clinical and Translational ScienceUL1TR001067 · NCATS · UNIVERSITY OF UTAH · PI DERE, WILLARD H., HESS, RACHEL · 2013 to 2017
$19.8M
UNIVERSITY OF UTAH CENTER FOR CLINICAL AND TRANSLATIONAL SCIENCE-UL1: BPCAUL1RR025764 · NCRR · UNIVERSITY OF UTAH · PI MCCLAIN, DONALD A. · 2008 to 2011
$19.4M
University of Utah Center for Clinical and Translational Science-UL1UL1TR000105 · NCATS · UNIVERSITY OF UTAH · PI MCCLAIN, DONALD A. · 2012 to 2013
$5.1M
NCATS NIH HHS UL1 TR000105NCATS NIH HHS UL1 TR001067NCI NIH HHS HHSN261201700078PNCRR NIH HHS UL1 RR025764
6 · The paper itself

Abstract

Cancer-related genetic and genomic testing (CGT) is changing cancer care by personalizing care options, leading to an era of precision medicine. Advances in and increased use of CGT add complexity to clinical communication. This landscape analysis assessed published reviews of communication issues related to CGT and discusses implications for practice and behavioral research. A comprehensive electronic literature search was conducted of peer-reviewed literature reviews on studies related to CGT communication published between January 2010 and January 2017, resulting in a final sample of 24 reviews. Reviews were categorized, with overlaps, into four domains across the genetic testing communication continuum. Reviews on CGT-related knowledge, attitudes, and perceptions (n = 8) found that despite substantial public interest, their knowledge and awareness remains low. Providers also reported insufficient knowledge and overall caution, particularly regarding direct-to-consumer (DTC) genetic testing. Reviews of decision-making about CGT and test uptake (n = 8) identified individual, interpersonal, and systems-level barriers to uptake. Reviews of patient-provider CGT communication (n = 8) revealed limited communication and little empirical research on outcomes of communication or efforts at improving clinical and family communication. There were mixed findings in reviews (n = 15) on the psychological and behavioral impact of CGT, and DTC testing particularly had little effect on behaviors. Taken together, there is very little extant research in CGT in minority and underserved communities. In order for scientific advances in CGT to translate into equitable, patient-centered care, behavioral research, including health literacy and communication, plays critical roles.

Indexed as

Health CommunicationReview Literature as TopicGenetic TestingGenomicsHumansNeoplasmsPrecision MedicineProfessional-Patient RelationsScholarly Communicationcancercommunicationgenetic testinggenomicshealth literacyprecision medicine

Identifiers

PMID29385592
PMCPMC6065548

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.