Evidence map›Paper›PMID 39320887›Full record

ArticleJAMA network open2024

Screening Familial Risk for Hereditary Breast and Ovarian Cancer.

Daniel Kiser, Gai Elhanan, Alexandre Bolze, Iva Neveux, Karen A Schlauch, William J Metcalf, Elizabeth T Cirulli, Catherine McCarthy, Leslie A Greenberg, Savanna Grime and 3 more

Abstract read
In one paragraph

Article in JAMA network open, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

7 citing papers in PubMed.

  1. Article
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  4. Review
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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

13 authors.

Daniel KiserUniversity of Nevada Reno School of Medicine, Reno.
Gai ElhananUniversity of Nevada Reno School of Medicine, Reno.
Alexandre BolzeHelix, Inc, San Mateo, California.
Iva NeveuxUniversity of Nevada Reno School of Medicine, Reno.
Karen A SchlauchUniversity of Nevada Reno School of Medicine, Reno.
William J MetcalfUniversity of Nevada Reno School of Medicine, Reno.
Elizabeth T CirulliHelix, Inc, San Mateo, California.
Catherine McCarthyUniversity of Nevada Reno School of Medicine, Reno.
Leslie A GreenbergUniversity of Nevada Reno School of Medicine, Reno.
Savanna GrimeRenown Health, Reno, Nevada.
Jamie M Schnell BlitsteinRenown Health, Reno, Nevada.
William PlauthRenown Health, Reno, Nevada.
Joseph J GrzymskiUniversity of Nevada Reno School of Medicine, Reno.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Importance: Most patients with pathogenic or likely pathogenic (P/LP) variants for breast cancer have not undergone genetic testing. Objective: To identify patients meeting family history criteria for genetic testing in the electronic health record (EHR). Design, Setting, and Participants: This study included both cross-sectional (observation date, February 1, 2024) and retrospective cohort (observation period, January 1, 2018, to February 1, 2024) analyses. Participants included patients aged 18 to 79 years enrolled in Renown Health, a large health system in Northern Nevada. Genotype was known for 38 003 patients enrolled in Healthy Nevada Project (HNP), a population genomics study. Exposure: An EHR indicating that a patient is positive for criteria according to the Seven-Question Family History Questionnaire (hereafter, FHS7 positive) assessing familial risk for hereditary breast and ovarian cancer (HBOC). Main Outcomes and Measures: The primary outcomes were the presence of P/LP variants in the ATM, BRCA1, BRCA2, CHEK2, or PALB2 genes (cross-sectional analysis) or a diagnosis of cancer (cohort analysis). Age-adjusted cancer incidence rates per 100 000 patients per year were calculated using the 2020 US population as the standard. Hazard ratios (HRs) for cancer attributable to FHS7-positive status were estimated using cause-specific hazard models. Results: Among 835 727 patients, 423 393 (50.7%) were female and 29 913 (3.6%) were FHS7 positive. Among those who were FHS7 positive, 24 535 (82.0%) had no evidence of prior genetic testing for HBOC in their EHR. Being FHS7 positive was associated with increased prevalence of P/LP variants in BRCA1/BRCA2 (odds ratio [OR], 3.34; 95% CI, 2.48-4.47), CHEK2 (OR, 1.62; 95% CI, 1.05-2.43), and PALB2 (OR, 2.84; 95% CI, 1.23-6.16) among HNP female individuals, and in BRCA1/BRCA2 (OR, 3.35; 95% CI, 1.93-5.56) among HNP male individuals. Being FHS7 positive was also associated with significantly increased risk of cancer among 131 622 non-HNP female individuals (HR, 1.44; 95% CI, 1.22-1.70) but not among 114 982 non-HNP male individuals (HR, 1.11; 95% CI, 0.87-1.42). Among 1527 HNP survey respondents, 352 of 383 EHR-FHS7 positive patients (91.9%) were survey-FHS7 positive, but only 352 of 883 survey-FHS7 positive patients (39.9%) were EHR-FHS7 positive. Of the 29 913 FHS7-positive patients, 19 764 (66.1%) were identified only after parsing free-text family history comments. Socioeconomic differences were also observed between EHR-FHS7-negative and EHR-FHS7-positive patients, suggesting disparities in recording family history. Conclusions and Relevance: In this cross-sectional study, EHR-derived FHS7 identified thousands of patients with familial risk for breast cancer, indicating a substantial gap in genetic testing. However, limitations in EHR family history data suggested that other identification methods, such as direct-to-patient questionnaires, are required to fully address this gap.

Indexed as

Genetic Predisposition to DiseaseGenetic TestingOvarian NeoplasmsAdolescentAdultAgedBreast NeoplasmsCross-Sectional StudiesFanconi Anemia Complementation Group N ProteinFemaleHereditary Breast and Ovarian Cancer SyndromeHumansMaleMiddle AgedNevadaRetrospective StudiesFanconi Anemia Complementation Group N ProteinPALB2 protein, human

Identifiers

PMID39320887
PMCPMC11425146

What OpenQuestion holds

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Registered trials

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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.