Evidence map›Paper›PMID 32216451›Full record

ArticleActa radiologica (Stockholm, Sweden : 1987)2020

The association between breast cancer risk factors and background parenchymal enhancement at dynamic contrast-enhanced breast MRI.

Roxanna Hellgren, Ariel Saracco, Fredrik Strand, Mikael Eriksson, Ann Sundbom, Per Hall, Paul W Dickman

Abstract read
In one paragraph

Article in Acta radiologica (Stockholm, Sweden : 1987), 2020. 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
–field-weighted citation impact
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.

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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

7 authors.

Roxanna HellgrenDepartment of Medical Imaging, Division of Breast Imaging, Södersjukhuset, Stockholm, Sweden.ORCID https://orcid.org/0000-0003-4234-8323
Ariel SaraccoDepartment of Medical Imaging, Division of Breast Imaging, Södersjukhuset, Stockholm, Sweden.
Fredrik StrandDepartment of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden.
Mikael ErikssonDepartment of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden.
Ann SundbomDepartment of Medical Imaging, Division of Breast Imaging, Södersjukhuset, Stockholm, Sweden.
Per HallDepartment of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden.
Paul W DickmanDepartment of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundBackground parenchymal enhancement (BPE) of normal tissue at breast magnetic resonance imaging is suggested to be an independent risk factor for breast cancer. Its association with established risk factors for breast cancer is not fully investigated. PURPOSE: To study the association between BPE and risk factors for breast cancer in a healthy, non-high-risk screening population. MATERIAL AND

methodsWe measured BPE and mammographic density and used data from self-reported questionnaires in 214 healthy women aged 43-74 years. We estimated odds ratios for the univariable association between BPE and risk factors. We then fitted an adjusted model using logistic regression to evaluate associations between BPE (high vs. low) and risk factors, including mammographic breast density.

resultsThe majority of women had low BPE (84%). In a multivariable model, we found statistically significant associations between BPE and age (

conclusionOur study confirmed the known association of BPE with age and BMI. Although our results show a higher likelihood for high BPE with increasing levels of mammographic density, the association was not statistically significant.

Indexed as

AdultAgedAge FactorsBody Mass IndexBreastBreast DensityBreast NeoplasmsFemaleHumansMagnetic Resonance ImagingMiddle AgedRisk FactorsbreastepidemiologyMagnetic resonance imagingprimary neoplasms

Identifiers

PMID32216451
PMCPMC7720360

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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.