Evidence map›Paper›PMID 25195123›Full record

SynthesisJapanese journal of radiology2014

Diagnostic performances of shear-wave elastography for identification of malignant breast lesions: a meta-analysis.

Limin Chen, Jun He, Gang Liu, Kezhong Shao, Minda Zhou, Beilei Li, Xiaofei Chen

Abstract readMeta-Analysis
PubMed Publisher
In one paragraph

Synthesis in Japanese journal of radiology, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed, 1 pooled it
–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

15 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Applications of elastography in operative neurosurgery: A systematic review.Journal of clinical neuroscience : official journal of the Neurosurgical Society of Australasia · 2022
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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.

Limin ChenDepartment of Ultrasound Diagnosis, Wenzhou Central Hospital, Jiangbin West Rd, Wenzhou, 325000, China, chenlimin_wz@126.com.
Jun He
Gang Liu
Kezhong Shao
Minda Zhou
Beilei Li
Xiaofei Chen

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeTo examine the performance of shear-wave elastography (SWE) for the differentiation of benign and malignant breast lesions using a meta-analysis. MATERIALS AND

methodsPubMed, Embase and the Cochrane library were searched for studies published up to January 2014. The references of retrieved relevant articles were reviewed to identify potential publications. Random-effect meta-analysis was conducted to assess the overall sensitivity and specificity of SWE in the differentiation of breast lesions.

resultsA total of 11 articles, including 2424 patients, were included in the present meta-analysis. The summarized sensitivity and specificity of the shear wave elastography performance based on maximum elasticity were 0.93 (95 % CI 0.91-0.95) and 0.81 (95 % CI 0.78-0.83), respectively. For the mean elasticity, the summarized sensitivity and specificity were 0.94 (95 % CI 0.92-0.96) and 0.71 (95 % CI 0.69-0.74), respectively. The summarized sensitivity and specificity were 0.77 (95 % CI 0.70-0.83) and 0.88 (95 % CI 0.84-0.91) for the SD of elasticity.

conclusionSWE has a high sensitivity and specificity in the differentiation of benign and malignant breast lesions. More large and prospective studies are warranted to further examine the performance of SWE.

Indexed as

Breast NeoplasmsDiagnosis, DifferentialElasticity Imaging TechniquesFemaleHumansReproducibility of ResultsSensitivity and SpecificityUltrasonography, Mammary

Identifiers

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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.