Evidence map›Paper›PMID 33607959›Full record

SynthesisBMC medical imaging2021

Breast cancer and background parenchymal enhancement at breast magnetic resonance imaging: a meta-analysis.

Na Hu, Jinghao Zhao, Yong Li, Quanshui Fu, Linwei Zhao, Hong Chen, Wei Qin, Guoqing Yang

Open access · goldAbstract readMeta-AnalysisSystematic Review
In one paragraph

Synthesis in BMC medical imaging, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.

0numbers the graph read from it
0cells of the map it votes in
18citing papers in PubMed
2.8field-weighted citation impact, top 10% 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

18 citing papers in PubMed, 25 citations in OpenAlex.

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  18. A Systematic Review of Artificial Intelligence Techniques in Cancer Prediction and Diagnosis.Archives of computational methods in engineering : state of the art reviews · 2022
    Review
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

8 authors at 1 institution in 1 country.

Na Hu *Department of Radiology, Suining Central Hospital, Suining, 629000, Sichuan, China.
Jinghao Zhao *Department of Radiology, Suining Central Hospital, Suining, 629000, Sichuan, China.
Yong LiDepartment of Radiology, Suining Central Hospital, Suining, 629000, Sichuan, China.
Quanshui FuDepartment of Radiology, Suining Central Hospital, Suining, 629000, Sichuan, China.
Linwei ZhaoDepartment of Radiology, Suining Central Hospital, Suining, 629000, Sichuan, China.
Hong ChenDepartment of Radiology, Suining Central Hospital, Suining, 629000, Sichuan, China.
Wei QinDepartment of Radiology, Suining Central Hospital, Suining, 629000, Sichuan, China. qinwei699@sina.com.ORCID 0000-0002-2282-7792
Guoqing YangDepartment of Radiology, Suining Central Hospital, Suining, 629000, Sichuan, China. yangguoqing688@sina.com.
Suizhou Central Hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe background parenchymal enhancement at breast magnetic resonance imaging use to predict breast cancer attracts many searchers to draw a possible relationship. However, the results of their relationships were conflicting. This meta-analysis was performed to assess breast cancer frequency associations with background parenchymal enhancement.

methodsA systematic literature search up to January 2020 was performed to detect studies recording associations between breast cancer frequency and background parenchymal enhancement. We found thirteen studies including 13,788 women at the start with 4046 breast cancer. We calculated the odds ratio (OR) and the 95% confidence intervals (CIs) between breast cancer frequency and background parenchymal enhancement by the dichotomous technique with a random or fixed-effect model.

resultsWomen with minimal or mild background parenchymal enhancement at breast magnetic resonance imaging did not have any risk of breast cancer compared to control women (OR, 1.20; 95% CI 0.54-2.67). However, high background parenchymal enhancement at breast magnetic resonance imaging (OR, 2.66; 95% CI 1.36-5.19) and moderate (OR, 2.51; 95% CI 1.49-4.21) was associated with a significantly higher rate of breast cancer frequency compared to control women.

conclusionsOur meta-analysis showed that the women with high and moderate background parenchymal enhancement at breast magnetic resonance imaging have higher risks, up to 2.66 fold, of breast cancer. We suggest that women with high or moderate background parenchymal enhancement at breast magnetic resonance imaging to be scheduled for more frequent follow-up and screening for breast cancer to avoid any complications.

Indexed as

Image EnhancementBreastBreast NeoplasmsContrast MediaFemaleHumansMagnetic Resonance ImagingContrast MediaBackground parenchymal enhancementBreast cancerBreast magnetic resonance imagingDynamic contrast-enhanced magnetic resonance imaging

Identifiers

PMID33607959
PMCPMC7893738
OpenAlexW3129227755

What OpenQuestion holds

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LicenceCC BY
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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.