Evidence map›Paper›PMID 29334616›Full record

ArticleJournal of women's health (2002)2018

Preoperative Breast Magnetic Resonance Imaging Use by Breast Density and Family History of Breast Cancer.

Louise M Henderson, Rebecca A Hubbard, Weiwei Zhu, Julie Weiss, Karen J Wernli, Martha E Goodrich, Karla Kerlikowske, Wendy DeMartini, Elissa M Ozanne, Tracy Onega

Registry-linked trialAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Journal of women's health (2002), 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT06305312 (Community Services Navigation to Advance Health Equity in Breast Cancer Screening), which is not on this map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.1field-weighted citation impact, top 60% 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.

NCT06305312 narecruitingnot on this mapstarted 2024, after this paper: background citation

Community Services Navigation to Advance Health Equity in Breast Cancer Screening

TypeinterventionalSponsorUniversity of UtahRan2024 to 2028Enrolled1,450ConditionsBreast CancerArmsCommunity Service Navigation, Usual Care
3 · Its place in the literature

Who cites it

1 citing paper in PubMed, 3 citations in OpenAlex.

  1. Article
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

10 authors at 8 institutions in 1 country.

Louise M Henderson1 Department of Radiology, The University of North Carolina , Chapel Hill, North Carolina.
Rebecca A Hubbard2 Department of Biostatistics, Epidemiology and Informatics, University of Pennsylvania , Philadelphia, Pennsylvania.
Weiwei Zhu3 Kaiser Permanente Washington Health Research Institute , Seattle, Washington.
Julie Weiss4 Department of Biomedical Data Science, Geisel School of Medicine at Dartmouth , Lebanon , New Hampshire.
Karen J Wernli3 Kaiser Permanente Washington Health Research Institute , Seattle, Washington.
Martha E Goodrich4 Department of Biomedical Data Science, Geisel School of Medicine at Dartmouth , Lebanon , New Hampshire.
Karla Kerlikowske5 Departments of Medicine and Epidemiology and Biostatistics, University of California , San Francisco, San Francisco, California.
Wendy DeMartini6 Department of Radiology, Stanford University , Stanford, California.
Elissa M Ozanne7 Department of Population Health Sciences, University of Utah School of Medicine , Salt Lake City, Utah.
Tracy Onega8 The Dartmouth Institute for Health Policy and Clinical Practice and Norris Cotton Cancer Center , Geisel School of Medicine at Dartmouth, Lebanon , New Hampshire.
Dartmouth College · USKaiser Permanente Washington Health Research Institute · USDartmouth Institute for Health Policy and Clinical Practice · USStanford University · USUniversity of California, San Francisco · USUniversity of North Carolina at Chapel Hill · USUniversity of Pennsylvania · USUniversity of Utah · US

Funding

Risk-based Imaging Strategies to Improve Breast Cancer Surveillance OutcomesP01CA154292 · NCI · UNIVERSITY OF CALIFORNIA AT DAVIS · PI Diana L Miglioretti · 2011 to 2026
$52.9M
NCI NIH HHS P01 CA154292
6 · The paper itself

Abstract

backgroundUse of preoperative breast magnetic resonance imaging (MRI) among women with a new breast cancer has increased over the past decade. MRI use is more frequent in younger women and those with lobular carcinoma, but associations with breast density and family history of breast cancer are unknown. MATERIALS AND

methodsData for 3075 women ages >65 years with stage 0-III breast cancer who underwent breast conserving surgery or mastectomy from 2005 to 2010 in the Breast Cancer Surveillance Consortium were linked to administrative claims data to assess associations of preoperative MRI use with mammographic breast density and first-degree family history of breast cancer. Multivariable logistic regression estimated adjusted odds ratios (OR) and 95% confidence intervals (95% CI) for the association of MRI use with breast density and family history, adjusting for woman and tumor characteristics.

resultsOverall, preoperative MRI use was 16.4%. The proportion of women receiving breast MRI was similar by breast density (17.6% dense, 16.9% nondense) and family history (17.1% with family history, 16.5% without family history). After adjusting for potential confounders, we found no difference in preoperative MRI use by breast density (OR = 0.95 for dense vs. nondense, 95% CI: 0.73-1.22) or family history (OR = 0.99 for family history vs. none, 95% CI: 0.73-1.32).

conclusionsAmong women aged >65 years with breast cancer, having dense breasts or a first-degree relative with breast cancer was not associated with greater preoperative MRI use. This utilization is in keeping with lack of evidence that MRI has higher yield of malignancy in these subgroups.

Indexed as

Breast DensityPreoperative CareAgedAged, 80 and overBreast NeoplasmsCarcinoma, Ductal, BreastFemaleHumansMagnetic Resonance ImagingMastectomyPopulation Surveillancebreast cancerbreast densityfamily history

Identifiers

PMID29334616
PMCPMC6104247
OpenAlexW2783391408

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

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.