Evidence map›Paper›PMID 31531966›Full record

ArticleCancer medicine2019

Population prevalence of individuals meeting criteria for hereditary breast and ovarian cancer testing.

Samantha Greenberg, Saundra S Buys, Sandra L Edwards, Whitney Espinel, Alison Fraser, Amanda Gammon, Brent Hafen, Kimberly A Herget, Wendy Kohlmann, Camille Roundy and 1 more

Open access · goldAbstract read
In one paragraph

Article in Cancer medicine, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed
2.0field-weighted citation impact, top 13% 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

14 citing papers in PubMed, 22 citations in OpenAlex.

  1. Article
  2. Nonadherence to guidelines for genetic testing in families with ovarian cancer shows racial bias.Genetics in medicine : official journal of the American College of Medical Genetics · 2025
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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 at 3 institutions in 1 country.

Samantha GreenbergHuntsman Cancer Institute, University of Utah, Salt Lake City, Utah.ORCID 0000-0003-4994-4793
Saundra S BuysHuntsman Cancer Institute, University of Utah, Salt Lake City, Utah.
Sandra L EdwardsUtah Cancer Registry, University of Utah, Salt Lake City, Utah.
Whitney EspinelHuntsman Cancer Institute, University of Utah, Salt Lake City, Utah.
Alison FraserHuntsman Cancer Institute, University of Utah, Salt Lake City, Utah.
Amanda GammonHuntsman Cancer Institute, University of Utah, Salt Lake City, Utah.
Brent HafenIntermountain Healthcare, Salt Lake City, Utah.
Kimberly A HergetUtah Cancer Registry, University of Utah, Salt Lake City, Utah.
Wendy KohlmannHuntsman Cancer Institute, University of Utah, Salt Lake City, Utah.
Camille RoundyUtah Department of Health, Salt Lake City, Utah.
Carol SweeneyHuntsman Cancer Institute, University of Utah, Salt Lake City, Utah.
University of Utah · USIntermountain Healthcare · USUtah Department of Health · US

Funding

Center for Disease Control and PreventionHuntsman Cancer FoundationNational Cancer Institute's SEER ProgramOffice of Public Health Genomics DP005360-01University of UtahUS Center for Disease Control and Prevention's National Program of Cancer Registries
6 · The paper itself

Abstract

backgroundPersonal cancer diagnosis and family cancer history factor into which individuals should undergo genetic testing for hereditary breast and ovarian cancer (HBOC) syndrome. Family history is often determined in the research setting through kindreds with disease clusters, or clinically from self-report. The population prevalence of individuals with diagnostic characteristics and/or family cancer history meeting criteria for HBOC testing is unknown.

methodsUtilizing Surveillance, Epidemiology, and End Results (SEER) cancer registry data and a research resource linking registry records to genealogies, the Utah Population Database, the population-based prevalence of diagnostic and family history characteristics meeting National Comprehensive Cancer Network (NCCN) criteria for HBOC testing was objectively assessed.

resultsAmong Utah residents with an incident breast cancer diagnosis 2010-2015 and evaluable for family history, 21.6% met criteria for testing based on diagnostic characteristics, but the proportion increased to 62.9% when family history was evaluated. The proportion of cases meeting testing criteria at diagnosis was 94% for ovarian cancer, 23% for prostate cancer, and 51.1% for pancreatic cancer. Among an unaffected Utah population of approximately 1.7 million evaluable for family history, 197,601 or 11.6% met testing criteria based on family history.

conclusionsThis study quantifies the population-based prevalence of HBOC criteria using objectively determined genealogy and cancer incidence data. Sporadic breast cancer likely represents a portion of the high prevalence of family cancer history seen in this study. These results underline the importance of establishing presence of a deleterious mutation in an affected family member, per NCCN guidelines, before testing unaffected relatives.

Indexed as

AdultAgedFemaleHereditary Breast and Ovarian Cancer SyndromeHumansMaleMiddle AgedOvarian NeoplasmsPancreatic NeoplasmsPrevalenceProstatic NeoplasmsRisk AssessmentSEER ProgramUtahBRCA1/2cancer registryepidemiologygenetic counselinghereditary cancer

Identifiers

PMID31531966
PMCPMC6825998
OpenAlexW2974395368

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.