Evidence map›Paper›PMID 32046659›Full record

SynthesisBMC medical imaging2020

Accuracy of real-time shear wave elastography in staging hepatic fibrosis: a meta-analysis.

Juan Fu, Biao Wu, Huazhi Wu, Feng Lin, Wei Deng

Abstract readMeta-Analysis
In one paragraph

Synthesis in BMC medical imaging, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
24citing papers in PubMed, 3 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

24 citing papers in PubMed, 3 syntheses or guidelines pooled it.

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  17. Liver fibrosis assessment: MR and US elastography.Abdominal radiology (New York) · 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

5 authors.

Juan FuDepartment of Infectious Disease, Hainan General Hospital, Haikou, China.
Biao WuDepartment of Infectious Disease, Hainan General Hospital, Haikou, China.
Huazhi WuDepartment of Infectious Disease, Hainan General Hospital, Haikou, China.
Feng LinDepartment of Infectious Disease, Hainan General Hospital, Haikou, China.
Wei DengDepartment of Oral and Maxillofacial Surgery, Hainan General Hospital, 19 Xiuhua Road, Haikou, 570311, China. dengweisums2@126.com.ORCID 0000-0003-4751-5020

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundChronic liver disease (CLD) is an important cause of morbidity and mortality and can lead to hepatic fibrosis. This study was conducted to evaluate the diagnostic value of real-time shear wave elastography (SWE) in the assessment of hepatic fibrosis.

methodsA systematic search of databases was performed for publications on SWE during the period between 2010 and 2017. The identified studies were analyzed using Meta-disc 1.4 software to integrate and analyze the data.

resultsEleven studies comprising 1560 patients were included for analysis. The pooled sensitivity, specificity and diagnostic odds ratio were 0.85 (95% CI: 0.82-0.87), 0.79 (95% CI: 0.76-0.82) and 30.81 (95% CI: 16.55-57.34), respectively for patients with a Metavir-score of ≥ F2; 0.87 (95% CI: 0.84-0.91), 0.84 (95% CI: 0.82-0.87), 41.45 (95% CI:18.25-94.45), respectively for patients with ≥ F3; 0.88(95% CI: 0.83-0.91), 0.91 (95% CI: 0.89-0.92), 67.18 (95% CI:30.02-150.31), respectively for patients with ≥ F4. The areas under the receiver operating characteristic curve of the three groups were 0.9147, 0.9223 and 0.9520, respectively.

conclusionsOur work demonstrates that SWE is highly accurate for detecting and staging hepatic fibrosis.

Indexed as

Elasticity Imaging TechniquesFemaleHumansLiver CirrhosisMaleROC CurveSensitivity and SpecificityCirrhosisElastographyHepatic fibrosisMeta-analysis

Identifiers

PMID32046659
PMCPMC7014748

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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.