Evidence map›Paper›PMID 24599651›Full record

ArticleJournal of genetic counseling2014

Cancer risk assessment using genetic panel testing: considerations for clinical application.

Susan Hiraki, Erica S Rinella, Freya Schnabel, Ruth Oratz, Harry Ostrer

Abstract read
PubMed Publisher
In one paragraph

Article in Journal of genetic counseling, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers.

0numbers the graph read from it
0cells of the map it votes in
20citing 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

20 citing papers in PubMed.

  1. Trial
  2. Trial
  3. Article
  4. Observational
  5. Article
  6. Article
  7. Observational
  8. Cancer communication research in the era of genomics and precision medicine: a scoping review.Genetics in medicine : official journal of the American College of Medical Genetics · 2019
    Article
  9. Article
  10. Prediction of breast cancer risk based on flow-variant analysis of circulating peripheral blood B cells.Genetics in medicine : official journal of the American College of Medical Genetics · 2017
    Article
  11. Observational
  12. Review
  13. Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. Article
  19. Review
  20. Multigene Panel Testing for Hereditary Cancer Risk.Journal of the advanced practitioner in oncology
    Review
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

5 authors.

Susan HirakiDepartment of Pathology, Albert Einstein College of Medicine, 1300 Morris Park Avenue, Ullmann 819, Bronx, NY, 10046, USA, susan.hiraki@einstein.yu.edu.
Erica S Rinella
Freya Schnabel
Ruth Oratz
Harry Ostrer

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

With the completion of the Human Genome Project and the development of high throughput technologies, such as next-generation sequencing, the use of multiplex genetic testing, in which multiple genes are sequenced simultaneously to test for one or more conditions, is growing rapidly. Reflecting underlying heterogeneity where a broad range of genes confer risks for one or more cancers, the development of genetic cancer panels to assess these risks represents just one example of how multiplex testing is being applied clinically. There are a number of issues and challenges to consider when conducting genetic testing for cancer risk assessment, and these issues become exceedingly more complex when moving from the traditional single-gene approach to panel testing. Here, we address the practical considerations for clinical use of panel testing for breast, ovarian, and colon cancers, including the benefits, limitations and challenges, genetic counseling issues, and management guidelines.

Indexed as

Genetic TestingGenetic Predisposition to DiseaseHumansNeoplasmsRisk Assessment

Identifiers

What Socratic 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 Socratic graph.