Evidence map›Paper›PMID 33772708›Full record

ArticleBreast cancer research and treatment2021

Relationship between body mass index and malignancy rates of MRI-guided breast biopsies: impact of clinicodemographic factors.

Annie Tang, Caitlin M Cohan, Keith S Hansen, Genna Beattie, Heather I Greenwood, Rita A Mukhtar

Abstract read
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In one paragraph

Article in Breast cancer research and treatment, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the 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 54% 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

1 citing paper in PubMed, 1 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

6 authors at 1 institution in 1 country.

Annie TangDepartment of Surgery, University of California, San Francisco, 1825 4th Street, 3rd Floor, Box 1710, San Francisco, CA, 94158, USA. annie.tang@ucsf.edu.ORCID http://orcid.org/0000-0001-6974-4356
Caitlin M CohanDepartment of Surgery, University of California, San Francisco, 1825 4th Street, 3rd Floor, Box 1710, San Francisco, CA, 94158, USA.ORCID http://orcid.org/0000-0003-4569-6585
Keith S HansenDepartment of Surgery, University of California, San Francisco, 1825 4th Street, 3rd Floor, Box 1710, San Francisco, CA, 94158, USA.ORCID http://orcid.org/0000-0001-9696-5568
Genna BeattieDepartment of Surgery, University of California, San Francisco, 1825 4th Street, 3rd Floor, Box 1710, San Francisco, CA, 94158, USA.
Heather I GreenwoodDepartment of Radiology, University of California San Francisco, San Francisco, CA, USA.ORCID http://orcid.org/0000-0001-7664-3852
Rita A MukhtarDepartment of Surgery, University of California, San Francisco, 1825 4th Street, 3rd Floor, Box 1710, San Francisco, CA, 94158, USA.ORCID http://orcid.org/0000-0001-8079-7846
University of California, San Francisco · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeTo determine the positive predictive value (PPV) of magnetic resonance imaging (MRI)-guided breast biopsy stratified by body mass index (BMI). Secondary endpoints include evaluation of indications for breast MRI and identification of factors associated with malignant biopsy.

methodsWe retrospectively analyzed results of MRI-guided breast biopsies in a consecutive cohort of women at a single institution between 2014 and 2019. The PPV was compared between BMI subgroups and the overall group by the one-sample z-test. Factors associated with malignant biopsy were analyzed using multivariate regression analysis.

resultsAmong 427 MRI-guided breast biopsies, the PPV was significantly higher in patients with a BMI ≥ 35 compared to BMI < 35 (38.6% versus 24.5%, p = 0.043). This remained true in the 180 biopsies from high-risk screening studies, but there was no difference in PPV by BMI in the 205 biopsies performed to evaluate extent of known disease. Among this cohort who underwent MRI-guided breast biopsy, the underlying indication for MRI was less likely to be high-risk screening in those with a higher BMI or Black or Hispanic race (p = 0.015 and p < 0.001, respectively). For high-risk screening studies, only BMI ≥ 35 was associated with malignant biopsies (OR 37.5, p = 0.003). For evaluation of extent of disease studies, only increased lesion size was a significant predictor of malignant result (OR 1.01, p = 0.04).

conclusionsAmong women who underwent MRI-guided breast biopsy, elevated BMI was associated with increased PPV and malignant biopsies. Patients with a higher BMI or Black or Hispanic race who had MRI-guided biopsy were less likely to be undergoing high-risk screening and more likely to have breast MRI to evaluate extent of known disease.

Indexed as

Breast NeoplasmsBody Mass IndexFemaleHumansImage-Guided BiopsyMagnetic Resonance ImagingRetrospective StudiesBMIBreast MRIDisparitiesHigh-risk screeningObesityPositive predictive value

Identifiers

PMID33772708
OpenAlexW3140900309

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.