Evidence map›Paper›PMID 35084623›Full record

ArticleBreast cancer research and treatment2022

Diagnostic performance improvement with combined use of proteomics biomarker assay and breast ultrasound.

Su Min Ha, Hong-Kyu Kim, Yumi Kim, Dong-Young Noh, Wonshik Han, Jung Min Chang

Abstract read
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In one paragraph

Article in Breast cancer research and treatment, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
0.4field-weighted citation impact, top 40% 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

3 citing papers in PubMed, 3 citations in OpenAlex.

  1. Article
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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

6 authors at 2 institutions in 1 country.

Su Min Ha *Department of Radiology, Seoul National University College of Medicine and Seoul National University Hospital, 101 Daehak-ro, Jongno-gu, Seoul, 110-744, Republic of Korea.
Hong-Kyu Kim *Department of Surgery, Seoul National University College of Medicine and Seoul National University Hospital, Seoul, Republic of Korea.
Yumi KimDepartment of Surgery, Seoul National University College of Medicine and Seoul National University Hospital, Seoul, Republic of Korea.
Dong-Young NohDepartment of Surgery, Seoul National University College of Medicine and Seoul National University Hospital, Seoul, Republic of Korea.
Wonshik HanDepartment of Surgery, Seoul National University College of Medicine and Seoul National University Hospital, Seoul, Republic of Korea.
Jung Min ChangDepartment of Radiology, Seoul National University College of Medicine and Seoul National University Hospital, 101 Daehak-ro, Jongno-gu, Seoul, 110-744, Republic of Korea. imchangjm@gmail.com.ORCID http://orcid.org/0000-0001-5726-9797
Seoul National University Hospital · KRSeoul National University · KR

Funding

Seoul National University Hospital 04-2021-0510
6 · The paper itself

Abstract

purposeTo investigate the combined use of blood-based 3-protein signature and breast ultrasound (US) for validating US-detected lesions.

methodsFrom July 2011 to April 2020, women who underwent whole-breast US within at least 6 months from sampling period were retrospectively included. Blood-based 3-protein signature (Mastocheck®) value and US findings were evaluated. Following outcome measures were compared between US alone and the combination of Mastocheck® value with US: sensitivity, specificity, positive predictive value (PPV), negative predictive value, area under the receiver operating characteristic curve (AUC), and biopsy rate.

resultsAmong the 237 women included, 59 (24.9%) were healthy individuals and 178 (75.1%) cancer patients. Mean size of cancers was 1.2 ± 0.8 cm. Median value of Mastocheck® was significantly different between nonmalignant (- 0.24, interquartile range [IQR] - 0.48, - 0.03) and malignant lesions (0.55, IQR - 0.03, 1.42) (P < .001). Utilizing Mastocheck® value with US increased the AUC from 0.67 (95% confidence interval [CI] 0.61, 0.73) to 0.81 (95% CI 0.75, 0.88; P < .001), and specificity from 35.6 (95% CI 23.4, 47.8) to 64.4% (95% CI 52.2, 76.6; P < .001) without loss in sensitivity. PPV was increased from 82.2 (95% CI 77.1, 87.3) to 89.3% (95% CI 85.0, 93.6; P < .001), and biopsy rate was significantly decreased from 79.3 (188/237) to 72.1% (171/237) (P < .001). Consistent improvements in specificity, PPV, and AUC were observed in asymptomatic women, in women with dense breast, and in those with normal/benign mammographic findings.

conclusionMastocheck® is an effective tool that can be used with US to improve diagnostic specificity and reduce false-positive findings and unnecessary biopsies.

Indexed as

Breast NeoplasmsProteomicsBiomarkersBreast DensityFemaleHumansMammographyRetrospective StudiesSensitivity and SpecificityUltrasonography, MammaryBiomarkersBiomarkersBlood proteinsBreast cancerDiagnosisProteomicsUltrasound

Identifiers

PMID35084623
OpenAlexW4221038458

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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.