Evidence map›Paper›PMID 29500626›Full record

ArticleJournal of genetic counseling2018

A Clinical Decision Support Tool to Predict Cancer Risk for Commonly Tested Cancer-Related Germline Mutations.

Danielle Braun, Jiabei Yang, Molly Griffin, Giovanni Parmigiani, Kevin S Hughes

Abstract read
In one paragraph

Article in Journal of genetic counseling, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 31 papers, 4 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
31citing papers in PubMed, 4 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

31 citing papers in PubMed, 4 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
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  4. Pooled it
  5. Trial
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  9. Review
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  12. Review
  13. Article
  14. Counselling Framework for GermlineCurrent oncology (Toronto, Ont.) · 2024
    Review
  15. Article
  16. Who Should Have Multigene Germline Testing for Hereditary Cancer?Journal of clinical oncology : official journal of the American Society of Clinical Oncology · 2022
    Article
  17. Article
  18. Article
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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

5 authors.

Danielle BraunDepartment of Biostatistics, Harvard T.H. Chan School of Public Health, Boston, MA, USA. dbraun@mail.harvard.edu.ORCID 0000-0002-5177-8598
Jiabei YangDepartment of Biostatistics, Harvard T.H. Chan School of Public Health, Boston, MA, USA.
Molly GriffinDivision of Surgical Oncology, Massachusetts General Hospital, Boston, MA, USA.
Giovanni ParmigianiDepartment of Biostatistics, Harvard T.H. Chan School of Public Health, Boston, MA, USA.
Kevin S HughesDivision of Surgical Oncology, Massachusetts General Hospital, Boston, MA, USA.

Funding

VectorP30CA006516 · NCI · DANA-FARBER CANCER INSTITUTE · PI A. Heather Eliassen · 1985 to 2026
$330.6M
NCI NIH HHS P30 CA006516
6 · The paper itself

Abstract

The rapid drop in the cost of DNA sequencing led to the availability of multi-gene panels, which test 25 or more cancer susceptibility genes for a low cost. Clinicians and genetic counselors need a tool to interpret results, understand risk of various cancers, and advise on a management strategy. This is challenging as there are multiple studies regarding each gene, and it is not possible for clinicians and genetic counselors to be aware of all publications, nor to appreciate the relative accuracy and importance of each. Through an extensive literature review, we have identified reliable studies and derived estimates of absolute risk. We have also developed a systematic mechanism and informatics tools for (1) data curation, (2) the evaluation of quality of studies, and (3) the statistical analysis necessary to obtain risk. We produced the risk prediction clinical decision support tool ASK2ME (All Syndromes Known to Man Evaluator). It provides absolute cancer risk predictions for various hereditary cancer susceptibility genes. These predictions are specific to patients' gene carrier status, age, and history of relevant prophylactic surgery. By allowing clinicians to enter patient information and receive patient-specific cancer risks, this tool aims to have a significant impact on the quality of precision cancer prevention and disease management activities relying on panel testing. It is important to note that this tool is dynamic and constantly being updated, and currently, some of its limitations include (1) for many gene-cancer associations risk estimates are based on one study rather than meta-analysis, (2) strong assumptions on prior cancers, (3) lack of uncertainty measures, and (4) risk estimates for a growing set of gene-cancer associations which are not always variant specific. All of these concerns are being addressed on an ongoing basis, aiming to make the tool even more accurate.

Indexed as

Decision Support Systems, ClinicalGerm-Line MutationHumansNeoplasmsRisk FactorsSoftwareDisease susceptibilityGenetic predisposition to diseaseGermline mutationRisk assessmentRisk management

Identifiers

PMID29500626
PMCPMC6240422

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.