Evidence map›Paper›PMID 40574497›Full record

ArticleJournal of genetic counseling2025

Changes in multi-gene cancer panels for children: A 4-year retrospective review.

Elise G Williams, Elena Kessler, Kristine L Cooper, Andrea Durst, Julia Meade

Abstract read
In one paragraph

Article in Journal of genetic counseling, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

5 authors.

Elise G WilliamsDivision of Medical Genetics, Department of Pediatrics, UPMC Children's Hospital of Pittsburgh, Pittsburgh, Pennsylvania, USA.ORCID 0009-0009-0187-6956
Elena KesslerDepartment of Human Genetics, School of Public Health, University of Pittsburgh, Pittsburgh, Pennsylvania, USA.
Kristine L CooperBiostatistics Facility, UPMC Hillman Cancer Center, University of Pittsburgh School of Medicine, Pittsburgh, Pennsylvania, USA.ORCID 0000-0002-8172-1648
Andrea DurstDepartment of Human Genetics, School of Public Health, University of Pittsburgh, Pittsburgh, Pennsylvania, USA.ORCID 0000-0002-4338-5823
Julia MeadeDivision of Medical Genetics, Department of Pediatrics, UPMC Children's Hospital of Pittsburgh, Pittsburgh, Pennsylvania, USA.ORCID 0000-0001-8364-1820

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The multi-gene panel is the most utilized genetic test to evaluate for germline cancer predisposition syndromes. However, the rate of change of commercial multigene panels is not well understood, and its value as a standalone test has also not been investigated. We conducted a retrospective chart review of the UPMC Children's Hospital of Pittsburgh Cancer Predisposition Program's genetic testing results to evaluate how multigene panels for pediatric and young adult patients with cancer have changed in size and scope from 2018 to 2022. We find that multigene panels show a trend of growing larger in number of genes included over time and explore the utility of additional genetic testing after the initial round of multi-gene panel testing. We demonstrate heterogeneity between commercial genetic testing laboratories and their panels over time, signifying a need for equity among genetic testing panels and vigilance among physicians and genetic counselors ordering panel-based testing.

Indexed as

Genetic TestingNeoplasmsAdolescentChildFemaleGenetic Predisposition to DiseaseHumansMaleRetrospective Studiescancer predisposition syndromegenetic counselinggenetic testingpediatricsrisk assessment

Identifiers

PMID40574497
PMCPMC12203036

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.