Evidence map›Paper›PMID 34830676›Full record

ArticleJournal of clinical medicine2021

Is There a Correlation between Multiparametric Assessment in Ultrasound and Intrinsic Subtype of Breast Cancer?

Magdalena Gumowska, Joanna Mączewska, Piotr Prostko, Katarzyna Roszkowska-Purska, Katarzyna Dobruch-Sobczak

Abstract read
In one paragraph

Article in Journal of clinical medicine, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing 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

11 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

5 authors.

Magdalena GumowskaDepartment of Radiology, Maria Sklodowska-Curie National Research Institute of Oncology, 02-034 Warsaw, Poland.
Joanna MączewskaDepartment of Radiology, Maria Sklodowska-Curie National Research Institute of Oncology, 02-034 Warsaw, Poland.ORCID 0000-0002-3522-8633
Piotr ProstkoStatistician, 00-001 Warsaw, Poland.
Katarzyna Roszkowska-PurskaDepartment of Pathomorphology, Maria Sklodowska-Curie National Research Institute of Oncology, 02-034 Warsaw, Poland.
Katarzyna Dobruch-SobczakDepartment of Radiology, Maria Sklodowska-Curie National Research Institute of Oncology, 02-034 Warsaw, Poland.ORCID 0000-0003-1470-4140

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Molecular profile of breast cancer provides information about its biological activity, prognosis and treatment strategies. The purpose of our study was to investigate the correlation between ultrasound features and molecular subtypes of breast cancer. From June 2019 to December 2019, 86 patients (median age 57 years; range 32-88) with 102 breast cancer tumors were included in the study. The molecular subtypes were classified into five types: luminal A (LA), luminal B without HER2 overexpression (LB HER2-), luminal B with HER2 overexpression (LB HER2+), human epidermal growth factor receptor 2 positive (HER2+) and triple negative breast cancer (TNBC). Histopathological verification was obtained in core biopsy or/and post-surgery specimens in all cases. Univariate logistic regression analysis was performed to assess the association between the subtypes and ultrasound imaging features. Experienced radiologists assessed lesions according to the BIRADS-US lexicon. The ultrasound scans were performed with a Supersonic Aixplorer and Supersonix. Based on histopathological verification, the rates of LA, LB HER2-, LB HER2+, HER2+, and TNBC were 33, 17, 17, 16, 19, respectively. Both LB HER2+ and HER2+ subtypes presented higher incidence of calcification (OR = 3.125,

Indexed as

breast cancermultiparametric assessmentultrasound features

Identifiers

PMID34830676
PMCPMC8618837

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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.