Evidence map›Paper›PMID 37470892›Full record

ArticleBreast cancer research and treatment2023

Longitudinal adherence to breast cancer surveillance following cancer genetic testing in an integrated health care system.

Sarah Knerr, Boya Guo, Karen J Wernli, Kathleen F Mittendorf, Heather Spencer Feigelson, Marian J Gilmore, Gail P Jarvik, Tia L Kauffman, Erin Keast, Elizabeth G Liles and 8 more

Open access · greenAbstract read
In one paragraph

Article in Breast cancer research and treatment, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
1.6field-weighted citation impact, top 15% 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

3 citing papers in PubMed, 5 citations in OpenAlex.

  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

18 authors at 5 institutions in 2 countries.

Sarah KnerrDepartment of Health Systems and Population Health, School of Public Health, University of Washington, Box 351621, Seattle, WA, 98195, USA. saknerr@uw.edu.ORCID http://orcid.org/0000-0001-5461-6298
Boya GuoDepartment of Epidemiology, School of Public Health, University of Washington, Seattle, WA, USA.
Karen J WernliKaiser Permanente Washington Health Research Institute, Seattle, WA, USA.
Kathleen F MittendorfDepartment of Translational and Applied Genomics (TAG), Kaiser Permanente Center for Health Research, Portland, OR, USA.
Heather Spencer FeigelsonInstitute for Health Research, Kaiser Permanente, Denver, CO, USA.
Marian J GilmoreDepartment of Translational and Applied Genomics (TAG), Kaiser Permanente Center for Health Research, Portland, OR, USA.
Gail P JarvikDepartment of Medicine, School of Medicine, University of Washington, Seattle, WA, USA.
Tia L KauffmanKaiser Permanente Center for Health Research, Portland, OR, USA.
Erin KeastKaiser Permanente Center for Health Research, Portland, OR, USA.
Elizabeth G LilesKaiser Permanente Center for Health Research, Portland, OR, USA.
Frances L LynchKaiser Permanente Center for Health Research, Portland, OR, USA.
Kristin R MuessigDepartment of Translational and Applied Genomics (TAG), Kaiser Permanente Center for Health Research, Portland, OR, USA.
Sonia OkuyamaDenver Health and Hospital Authority, Denver, CO, USA.
David L VeenstraDepartment of Pharmacy, School of Pharmacy, University of Washington, Seattle, WA, USA.
Jamilyn M ZeppDepartment of Translational and Applied Genomics (TAG), Kaiser Permanente Center for Health Research, Portland, OR, USA.
Benjamin S WilfondDepartment of Pediatrics, School of Medicine, University of Washington, Seattle, WA, USA.
Beth DevineDepartment of Health Systems and Population Health, School of Public Health, University of Washington, Box 351621, Seattle, WA, 98195, USA.
Katrina A B GoddardDepartment of Translational and Applied Genomics (TAG), Kaiser Permanente Center for Health Research, Portland, OR, USA.
Kaiser Permanente Center for Health Research · USUniversity of Washington · USDenver Health Medical Center · USKaiser Permanente · USKaiser Permanente Washington Health Research Institute · US

Funding

Exome sequencing in Diverse Populations in Colorado & OregonU01HG007292 · NHGRI · KAISER FOUNDATION RESEARCH INSTITUTE · PI LEO, MICHAEL C, WILFOND, BENJAMIN SIMON · 2017 to 2021
$15.7M
Evolving Our Partnership: The CSER2 Centralized Support Coordinating CenterU24HG007307 · NHGRI · UNIVERSITY OF WASHINGTON · PI FULLERTON, STEPHANIE MALIA, JARVIK, GAIL PAIRITZ · 2017 to 2021
$5.8M
Population Management for Hereditary Cancer Prevention: Implementation, Effectiveness, and Acceptability within a Learning Health System.K08HG010488 · NHGRI · UNIVERSITY OF WASHINGTON · PI KNERR, SARAH · 2019 to 2021
$418k
NHGRI NIH HHS K08 HG010488NHGRI NIH HHS K08HG010488NHGRI NIH HHS U01 HG007292NHGRI NIH HHS U01HG007292NHGRI NIH HHS U24 HG007307NHGRI NIH HHS U24HG007307
6 · The paper itself

Abstract

purposeScreening with mammography and breast magnetic resonance imaging (MRI) is an important risk management strategy for individuals with inherited pathogenic variants (PVs) in genes associated with increased breast cancer risk. We describe longitudinal screening adherence in individuals who underwent cancer genetic testing as part of usual care in a vertically integrated health system.

methodsWe determined the proportion time covered (PTC) by annual mammography and breast MRI for individuals with PVs in TP53, BRCA1, BRCA2, PALB2, NF1, CHEK2, and ATM. We determined time covered by biennial mammography beginning at age 50 years for individuals who received negative results, uncertain results, or with PVs in genes without specific breast cancer screening recommendations.

resultsOne hundred and forty individuals had PVs in TP53, BRCA1, BRCA2, PALB2, NF1, CHEK2, or ATM. Among these individuals, average PTC was 48% (range 0-99%) for annual screening mammography and 34% (range 0-100%) for annual breast MRI. Average PTC was highest for individuals with PVs in CHEK2 (N = 14) and lowest for individuals with PVs in TP53 (N = 3). Average PTC for biennial mammography (N = 1,027) was 49% (0-100%).

conclusionLongitudinal screening adherence in individuals with PVs in breast cancer associated genes, as measured by the proportion of time covered, is low; adherence to annual breast MRI falls below that of annual mammography. Additional research should examine screening behavior in individuals with PVs in breast cancer associated genes with a goal of developing interventions to improve adherence to recommended risk management.

Indexed as

Breast NeoplasmsDelivery of Health Care, IntegratedEarly Detection of CancerFemaleGenetic Predisposition to DiseaseGenetic TestingHumansMammographyMiddle AgedBreast cancer, mammographyBreast MRI, surveillanceFamilial and hereditary cancersLongitudinal adherenceRisk management

Identifiers

PMID37470892
PMCPMC10503958
OpenAlexW4384818663

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.