Evidence map›Paper›PMID 39516903›Full record

ArticleHereditary cancer in clinical practice2024

Validation of a guidelines-based digital tool to assess the need for germline cancer genetic testing.

Callan D Russell, Ashley V Daley, Durand R Van Arnem, Andi V Hila, Kiley J Johnson, Jill N Davies, Hanah S Cytron, Kaylene J Ready, Cary M Armstrong, Mark E Sylvester and 1 more

Abstract read
In one paragraph

Article in Hereditary cancer in clinical practice, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. 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

11 authors.

Callan D RussellGenome Medical, 611 Gateway Blvd Suite 120, South San Francisco, CA, 94080, USA.
Ashley V DaleyGenome Medical, 611 Gateway Blvd Suite 120, South San Francisco, CA, 94080, USA.
Durand R Van ArnemGenome Medical, 611 Gateway Blvd Suite 120, South San Francisco, CA, 94080, USA.
Andi V HilaGenome Medical, 611 Gateway Blvd Suite 120, South San Francisco, CA, 94080, USA.
Kiley J JohnsonGenome Medical, 611 Gateway Blvd Suite 120, South San Francisco, CA, 94080, USA.
Jill N DaviesGenome Medical, 611 Gateway Blvd Suite 120, South San Francisco, CA, 94080, USA.
Hanah S CytronGenome Medical, 611 Gateway Blvd Suite 120, South San Francisco, CA, 94080, USA.
Kaylene J ReadyGeneMatters, 611 Gateway Blvd Suite 120, South San Francisco, CA, 94080, USA.
Cary M ArmstrongGenome Medical, 611 Gateway Blvd Suite 120, South San Francisco, CA, 94080, USA.
Mark E SylvesterGenome Medical, 611 Gateway Blvd Suite 120, South San Francisco, CA, 94080, USA.
Colleen A CaleshuGenome Medical, 611 Gateway Blvd Suite 120, South San Francisco, CA, 94080, USA. colleen@genomemedical.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundEfficient and scalable solutions are needed to identify patients who qualify for germline cancer genetic testing. We evaluated the clinical validity of a brief, patient-administered hereditary cancer risk assessment digital tool programmed to assess if patients meet criteria for germline genetic testing, based on personal and family history, and in line with national guidelines.

methodsWe applied the tool to cases seen in a nationwide telehealth genetic counseling practice. Validity of the tool was evaluated by comparing the tool's assessment to that of the genetic counselor who saw the patient. Patients' histories were extracted from genetic counselor-collected pedigrees and input into the tool by the research team to model how a patient would complete the tool. We also validated the tool's assessment of which specific aspects of the personal and family history met criteria for genetic testing. Descriptive statistics were used.

resultsOf the 152 cases (80% female, mean age 52.3), 56% had a personal history of cancer and 66% met genetic testing criteria. The tool and genetic counselor agreed in 96% of cases. Most disagreements (4/6; 67%) occurred because the genetic counselor's assessment relied on details the tool was not programmed to collect since patients typically don't have access to the relevant information (pathology details, risk models). We also found complete agreement between the tool and research team on which specific aspects of the patient's history met criteria for genetic testing.

conclusionWe observed a high level of agreement with genetic counselor assessments, affirming the tool's clinical validity in identifying individuals for hereditary cancer predisposition testing and its potential for increasing access to hereditary cancer risk assessment.

Indexed as

Cancer risk assessmentGenetic testingHereditary cancer

Identifiers

PMID39516903
PMCPMC11545665

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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.