Evidence map›Paper›PMID 30832243›Full record

ReviewJournal of personalized medicine2019

Genetic Testing to Guide Risk-Stratified Screens for Breast Cancer.

Ava Willoughby, Paul R Andreassen, Amanda Ewart Toland

Abstract readReview
In one paragraph

Review in Journal of personalized medicine, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing 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

14 citing papers in PubMed.

  1. Review
  2. Article
  3. Article
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  5. Article
  6. Review
  7. Review
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  9. Article
  10. Review
  11. Article
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  13. Article
  14. Healthcare Utilization and Costs after Receiving a PositiveJournal of personalized medicine · 2020
    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.

Ava WilloughbyDepartments of Cancer Biology and Genetics and Internal Medicine, The Ohio State University, Columbus, OH 43210, USA. willoughby.89@buckeyemail.osu.edu.
Paul R AndreassenDivision of Experimental Hematology and Cancer Biology, Cancer and Blood Diseases Institute, Cincinnati Children's Hospital Medical Center, Cincinnati, OH 45229, USA. Paul.Andreassen@cchmc.org.
Amanda Ewart TolandDepartments of Cancer Biology and Genetics and Internal Medicine, The Ohio State University, Columbus, OH 43210, USA. Amanda.Toland@osumc.edu.ORCID 0000-0002-0271-1792

Funding

National Institutes of Health 1R01CA215151U.S. Department of Defense W81XWH-18-1-0269
6 · The paper itself

Abstract

Breast cancer screening modalities and guidelines continue to evolve and are increasingly based on risk factors, including genetic risk and a personal or family history of cancer. Here, we review genetic testing of high-penetrance hereditary breast and ovarian cancer genes, including

Indexed as

BRCA1BRCA2breast cancer screeninggenetic riskgenetic testinghereditary breast and ovarian cancerpolygenic risk scorerisk modelsRisk stratification

Identifiers

PMID30832243
PMCPMC6462925

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.