Evidence map›Paper›PMID 29214373›Full record

ArticleJournal of general internal medicine2018

Utilization of breast cancer screening with magnetic resonance imaging in community practice.

Deirdre A Hill, Jennifer S Haas, Robert Wellman, Rebecca A Hubbard, Christoph I Lee, Jennifer Alford-Teaster, Karen J Wernli, Louise M Henderson, Natasha K Stout, Anna N A Tosteson and 2 more

Open access · bronzeAbstract read
In one paragraph

Article in Journal of general internal medicine, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers.

0numbers the graph read from it
0cells of the map it votes in
21citing papers in PubMed
1.6field-weighted citation impact, top 14% 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

21 citing papers in PubMed, 36 citations in OpenAlex.

  1. Trial
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  13. Integrity of clinical information in radiology reports documenting pulmonary nodules.Journal of the American Medical Informatics Association : JAMIA · 2021
    Article
  14. ADNEX Model-Based Diagnosis of Ovarian Cancer Using MRI Images.Contrast media & molecular imaging · 2021
    Article
  15. Observational
  16. The low expression of miR-1976 in plasma samples indicating its biological functions in the progression of breast cancer.Clinical & translational oncology : official publication of the Federation of Spanish Oncology Societies and of the National Cancer Institute of Mexico · 2020
    Article
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

12 authors at 10 institutions in 1 country.

Deirdre A HillDepartment of Internal Medicine and Comprehensive Cancer Center, University of New Mexico School of Medicine, Albuquerque, NM, USA. dahill@salud.unm.edu.
Jennifer S HaasDivision of General Internal Medicine and Primary Care, Brigham and Women's Hospital, Boston, MA, USA.
Robert WellmanGroup Health Research Institute, Seattle, WA, USA.
Rebecca A HubbardDepartment of Biostatistics, Epidemiology & Informatics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, 19104, USA.
Christoph I LeeDepartment of Radiology, University of Washington School of Medicine, Seattle, WA, USA.
Jennifer Alford-TeasterDepartments of Biomedical Data Science and Epidemiology, Geisel School of Medicine at Dartmouth, Lebanon, NH, USA.
Karen J WernliGroup Health Research Institute, Seattle, WA, USA.
Louise M HendersonDepartment of Radiology, University of North Carolina, Chapel Hill, NC, USA.
Natasha K StoutDepartment of Population Medicine, Harvard Medical School and Harvard Pilgrim Health Care Institute, Boston, MA, USA.
Anna N A TostesonDepartment of Medicine, The Dartmouth Institute for Health Policy and Clinical Management and Norris Cotton Cancer Center, Geisel School of Medicine at Dartmouth, Lebanon, NH, USA.
Karla KerlikowskeDepartments of Medicine and Epidemiology/Biostatistics, University of California, San Francisco, CA, USA.
Tracy OnegaDepartments of Biomedical Data Science and Epidemiology, Geisel School of Medicine at Dartmouth, Lebanon, NH, USA.
Dartmouth College · USKaiser Permanente Washington Health Research Institute · USBrigham and Women's Hospital · USDartmouth Institute for Health Policy and Clinical Practice · USHarvard University · USUniversity of California, San Francisco · USUniversity of New Mexico · USUniversity of North Carolina at Chapel Hill · USUniversity of Pennsylvania · USUniversity of Washington · US

Funding

Translational Engineering in Cancer (TEC)P30CA023108 · NCI · DARTMOUTH COLLEGE · PI Fred W Kolling IV · 1985 to 2026
$91.3M
Risk-based Imaging Strategies to Improve Breast Cancer Surveillance OutcomesP01CA154292 · NCI · UNIVERSITY OF CALIFORNIA AT DAVIS · PI KARLA M KERLIKOWSKE · 2011 to 2026
$52.9M
Vermont Screening Process Documentation UnitU54CA163303 · NCI · UNIVERSITY OF VERMONT & ST AGRIC COLLEGE · PI SPRAGUE, BRIAN L · 2011 to 2017
$6.4M
Promoting personalized decisions for breast cancer screening for women AND theirU54CA163307 · NCI · DARTMOUTH COLLEGE · PI HAAS, JENNIFER S, ONEGA, TRACY · 2011 to 2017
$6.1M
NCI NIH HHS HHSN261201100031CNCI NIH HHS P01 CA154292NCI NIH HHS P30 CA023108NCI NIH HHS U54 CA163303NCI NIH HHS U54 CA163307
6 · The paper itself

Abstract

backgroundBreast cancer screening with magnetic resonance imaging (MRI) may be a useful adjunct to screening mammography in high-risk women, but MRI uptake may be increasing rapidly among low- and average-risk women for whom benefits are unestablished. Comparatively little is known about use of screening MRI in community practice.

objectiveTo assess relative utilization of MRI among women who do and do not meet professional society guidelines for supplemental screening, and describe utilization according to breast cancer risk indications.

designProspective cohort study conducted between 2007 and 2014.

participantsIn five regional imaging registries participating in the Breast Cancer Surveillance Consortium (BCSC), 348,955 women received a screening mammogram, of whom 1499 underwent screening MRI. MAIN MEASURES: Lifetime breast cancer risk (< 20% or ≥ 20%) estimated by family history of two or more first-degree relatives, and Gail model risk estimates. Breast Imaging Reporting and Data System breast density and benign breast diseases also were assessed. Relative risks (RR) for undergoing screening MRI were estimated using Poisson regression. KEY

resultsAmong women with < 20% lifetime risk, which does not meet professional guidelines for supplementary MRI screening, and no first-degree breast cancer family history, screening MRI utilization was elevated among those with extremely dense breasts [RR 2.2; 95% confidence interval (CI) 1.7-2.8] relative to those with scattered fibroglandular densities and among women with atypia (RR 7.4; 95% CI 3.9-14.3.) or lobular carcinoma in situ (RR 33.1; 95% CI 18.0-60.9) relative to women with non-proliferative disease. Approximately 82.9% (95% CI 80.8%-84.7%) of screening MRIs occurred among women who did not meet professional guidelines and 35.5% (95% CI 33.1-37.9%) among women considered at low-to-average breast cancer risk.

conclusionUtilization of screening MRI in community settings is not consistent with current professional guidelines and the goal of delivery of high-value care.

Indexed as

AdultAgedBreast NeoplasmsCohort StudiesCommunity Health ServicesEarly Detection of CancerFemaleHumansMagnetic Resonance ImagingMammographyMiddle AgedProspective StudiesRegistriesbreast neoplasmsearly detection of cancerguideline adherencemagnetic resonance imagingrisk factors

Identifiers

PMID29214373
PMCPMC5834962
OpenAlexW2772254319

What OpenQuestion holds

Textmetadata
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.