Evidence map›Paper›PMID 37897090›Full record

ArticleJournal of the National Cancer Institute2024

Supplemental magnetic resonance imaging plus mammography compared with magnetic resonance imaging or mammography by extent of breast density.

Karla Kerlikowske, Weiwei Zhu, Yu-Ru Su, Brian L Sprague, Natasha K Stout, Tracy Onega, Ellen S O'Meara, Louise M Henderson, Anna N A Tosteson, Karen Wernli and 1 more

Open access · bronzeAbstract read
In one paragraph

Article in Journal of the National Cancer Institute, 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
3.4field-weighted citation impact, top 7% 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

7 citing papers in PubMed, 13 citations in OpenAlex.

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  7. Response to Omoleye, Esserman, Olufunmilayo.Journal of the National Cancer Institute · 2024
    Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

11 authors at 7 institutions in 1 country.

Karla KerlikowskeDepartments of Medicine and Epidemiology and Biostatistics, University of California, San Francisco, CA, USA.ORCID 0000-0001-8793-8779
Weiwei ZhuKaiser Permanente Washington Health Research Institute, Kaiser Permanente Washington, Seattle, WA, USA.
Yu-Ru SuKaiser Permanente Washington Health Research Institute, Kaiser Permanente Washington, Seattle, WA, USA.
Brian L SpragueDepartments of Surgery and Radiology, University of Vermont, Burlington, VT, USA.
Natasha K StoutDepartment of Population Medicine, Harvard Medical School and Harvard Pilgrim Health Care Institute, Boston, MA, USA.
Tracy OnegaDepartment of Population Health Sciences, University of Utah, Huntsman Cancer Institute, Salt Lake City, UT, USA.
Ellen S O'MearaKaiser Permanente Washington Health Research Institute, Kaiser Permanente Washington, Seattle, WA, USA.
Louise M HendersonDepartment of Radiology, University of North Carolina, Chapel Hill, NC, USA.
Anna N A TostesonThe Dartmouth Institute for Health Policy and Clinical Practice and Dartmouth Cancer Center, Geisel School of Medicine at Dartmouth, Lebanon, NH, USA.
Karen WernliKaiser Permanente Washington Health Research Institute, Kaiser Permanente Washington, Seattle, WA, USA.
Diana L MigliorettiKaiser Permanente Washington Health Research Institute, Kaiser Permanente Washington, Seattle, WA, USA.
Kaiser Permanente Washington Health Research Institute · USDartmouth Institute for Health Policy and Clinical Practice · USHarvard University · USSan Francisco VA Medical Center · USUniversity of North Carolina at Chapel Hill · USUniversity of Utah · USUniversity of Vermont · US

Funding

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
Comparative effectiveness of breast imaging modalities: a natural experimentR01HS018366 · AHRQ · UNIVERSITY OF ILLINOIS AT CHICAGO · PI RAUSCHER, GARTH H · 2010 to 2014
$1.8M
AHRQ HHS R01 HS018366NCI NIH HHS P01 CA154292NCI NIH HHS P01CA154292NCI NIH HHS U54 CA163303Patient-Centered Outcomes Research Institute PCS-1504-30370
6 · The paper itself

Abstract

backgroundExamining screening outcomes by breast density for breast magnetic resonance imaging (MRI) with or without mammography could inform discussions about supplemental MRI in women with dense breasts.

methodsWe evaluated 52 237 women aged 40-79 years who underwent 2611 screening MRIs alone and 6518 supplemental MRI plus mammography pairs propensity score-matched to 65 810 screening mammograms. Rates per 1000 examinations of interval, advanced, and screen-detected early stage invasive cancers and false-positive recall and biopsy recommendation were estimated by breast density (nondense = almost entirely fatty or scattered fibroglandular densities; dense = heterogeneously/extremely dense) adjusting for registry, examination year, age, race and ethnicity, family history of breast cancer, and prior breast biopsy.

resultsScreen-detected early stage cancer rates were statistically higher for MRI plus mammography vs mammography for nondense (9.3 vs 2.9; difference = 6.4, 95% confidence interval [CI] = 2.5 to 10.3) and dense (7.5 vs 3.5; difference = 4.0, 95% CI = 1.4 to 6.7) breasts and for MRI vs MRI plus mammography for dense breasts (19.2 vs 7.5; difference = 11.7, 95% CI = 4.6 to 18.8). Interval rates were not statistically different for MRI plus mammography vs mammography for nondense (0.8 vs 0.5; difference = 0.4, 95% CI = -0.8 to 1.6) or dense breasts (1.5 vs 1.4; difference = 0.0, 95% CI = -1.2 to 1.3), nor were advanced cancer rates. Interval rates were not statistically different for MRI vs MRI plus mammography for nondense (2.6 vs 0.8; difference = 1.8 (95% CI = -2.0 to 5.5) or dense breasts (0.6 vs 1.5; difference = -0.9, 95% CI = -2.5 to 0.7), nor were advanced cancer rates. False-positive recall and biopsy recommendation rates were statistically higher for MRI groups than mammography alone.

conclusionMRI screening with or without mammography increased rates of screen-detected early stage cancer and false-positives for women with dense breasts without a concomitant decrease in advanced or interval cancers.

Indexed as

Breast DensityBreast NeoplasmsBreastEarly Detection of CancerFemaleHumansMagnetic Resonance ImagingMammography

Identifiers

PMID37897090
PMCPMC10852604
OpenAlexW4387996458

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.