Evidence map›Paper›PMID 37181954›Full record

ArticleCureus2023

Universal Genetic Testing vs. Guideline-Directed Testing for Hereditary Cancer Syndromes Among Traditionally Underrepresented Patients in a Community Oncology Program.

Jeremy C Jones, Michael A Golafshar, Tucker W Coston, Rohit Rao, Ewa Wysokinska, Elizabeth Johnson, Edward D Esplin, Robert L Nussbaum, Brandie Heald, Margaret Klint and 8 more

Open access · diamondAbstract read
In one paragraph

Article in Cureus, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
3.1field-weighted citation impact, top 8% of its field
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

11 citing papers in PubMed, 10 citations in OpenAlex.

  1. Article
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  6. Review
  7. Update to the essential genomic nursing competencies and outcome indicators.Journal of nursing scholarship : an official publication of Sigma Theta Tau International Honor Society of Nursing · 2024
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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

18 authors at 5 institutions in 1 country.

Jeremy C JonesHematology & Oncology, Mayo Clinic, Jacksonville, USA.
Michael A GolafsharHealth Policy, Mayo Clinic, Phoenix, USA.
Tucker W CostonHematology & Oncology, Mayo Clinic, Jacksonville, USA.
Rohit RaoHematology & Oncology, Mayo Clinic, Jacksonville, USA.
Ewa WysokinskaHematology & Oncology, Mayo Clinic, Jacksonville, USA.
Elizabeth JohnsonHematology & Oncology, Mayo Clinic, Jacksonville, USA.
Edward D EsplinMedical Affairs, Invitae Corporation, San Francisco, USA.
Robert L NussbaumMedical Affairs, Invitae Corporation, San Francisco, USA.
Brandie HealdMedical Affairs, Invitae Corporation, San Francisco, USA.
Margaret KlintClinical Genomics, Mayo Clinic, Phoenix, USA.
Kathleen BarrusClinical Genomics, Mayo Clinic, Phoenix, USA.
Pedro L UsonHematology & Oncology, Mayo Clinic, Phoenix, USA.
Cuong C NguyenHematology & Oncology, Mayo Clinic, Phoenix, USA.
Gerald Colon-OteroHematology & Oncology, Mayo Clinic, Jacksonville, USA.
Tanios S Bekaii-SaabHematology & Oncology, Mayo Clinic, Phoenix, USA.
Roxana DroncaHematology & Oncology, Mayo Clinic, Jacksonville, USA.
Katie L KunzeHealth Policy, Mayo Clinic, Phoenix, USA.
N Jewel SamadderGastroenterology and Hepatology, Mayo Clinic, Phoenix, USA.
Mayo Clinic Hospital · USMayo Clinic in Arizona · USInvitae (United States) · USJacksonville College · USMayo Clinic in Florida · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background Detection of pathogenic germline variants (PGVs) has implications for cancer screening, prognosis, treatment selection, clinical trial enrollment, and family testing. Published guidelines provide indications for PGV testing, determined by clinical and demographic factors, but their applicability in an ethnically and racially diverse community hospital population is unknown. This study describes the diagnostic and incremental yield of universal multi-gene panel testing in a diverse population in a community cancer practice. Methods We completed a prospective study of proactive germline genetic sequencing among patients with solid tumor malignancies at a community-based oncology practice in downtown Jacksonville, FL, between June 2020 and September 2021. The patients were unselected for cancer type, stage, family history, race/ethnicity, and age. PGVs identified using an 84-gene next-generation sequencing (NGS) tumor genomic testing platform were stratified by penetrance. National Comprehensive Cancer Networks (NCCN) guidelines determined incremental PGV rates. Results Two hundred twenty-three patients were enrolled, with a median age of 63 years, 78.5% female. 32.7% were Black/African American, and 5.4% were Hispanic. 39.9% of patients were commercially insured, Medicare/Medicaid insured 52.5%, and 2.7% were uninsured. The most common cancers in this cohort were breast (61.9%), lung (10.3%), and colorectal (7.2%). Twenty-three patients (10.3%) carried one or more PGVs, and 50.2% carried a variant of uncertain significance (VUS). Though there was no significant difference in the rate of PGVs based on race/ethnicity, African Americans were numerically more likely to have a VUS reported than whites (P=0.059). Eighteen (8.1%) patients had incremental clinically actionable findings that practice guidelines would not have detected, which was higher in non-whites. Conclusions In this racially/ethnically and socioeconomically diverse cohort, universal multi-gene panel testing (MGPT) increased diagnostic yield over targeted guideline-informed testing. Rates of VUS and incremental PGV were higher in non-white populations.

Indexed as

germline testinghereditary cancer syndromeshomologous recombination deficiencylynch syndromescreening strategy

Identifiers

PMID37181954
PMCPMC10173369
OpenAlexW4364382479

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.