Evidence map›Paper›PMID 40597866›Full record

SynthesisBMC cancer2025

Exploring the potential clinical value of shear wave elastography in prostate cancer: a meta-analysis.

Danli Liu, Weilong Lin, Cailiu Wei, Yiqi Huang, Fenjuan Chen, Yanling Zhang, Feifei Pu

Abstract readMeta-AnalysisSystematic Review
In one paragraph

Synthesis in BMC cancer, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Review
  2. Article
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.

Danli Liu *Department of Oncology, Shaoxing Second Hospital, Shaoxing, Zhejiang, China. danli_lily@163.com.
Weilong Lin *Department of Urology, Sun Yat-Sen Memorial Hospital, Sun Yat-Sen University, Guangzhou, China.
Cailiu Wei *Affiliated Hospital of YouJiang Medical University for Nationalities, Baise, Guangxi, China.
Yiqi HuangDepartment of Nephrology, Shaoxing Second Hospital, Shaoxing, Zhejiang, China.
Fenjuan ChenDepartment of Internal Medicine, Shaoxing Second Hospital, Shaoxing, Zhejiang, China.
Yanling ZhangDepartment of Nephrology, Shaoxing Second Hospital, Shaoxing, Zhejiang, China.
Feifei PuDepartment of Ultrasonic, Shaoxing Second Hospital, Shaoxing, Zhejiang, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The potential role of shear wave elastography (SWE) in prostate cancer (PCa) remains unclear. We systematically searched PubMed, Web of Science, and the Cochrane Library databases to identify correlated studies up to Dec 2024. A total of 137 studies were identified for potential inclusion, and 11 studies were included, comprising 1551 PCa patients. The pooled sensitivity, specificity, and the area under the summary receiver operating characteristic curve (AUC) for detecting malignant prostatic nodules were 90% (95% CI, 81-95%), 75% (95% CI, 62-84%) and 90% (95% CI: 87, 92%) in per-patient analysis, respectively. The sensitivity, specificity, and AUC were 86% (95% CI: 72%, 95%), 86% (95% CI: 78%, 92%) and 92% (95% CI: 90%, 94%) in per-sextant analysis. Publication bias test addressed low significant small-study bias. We found that SWE may serve as a potential diagnostic strategy for PCa and may help to reduce the number of core biopsies. Since limited quantity and small sample size of included studies, further well-designed studies are strongly encouraged to address this promising strategy.

Indexed as

Elasticity Imaging TechniquesProstatic NeoplasmsHumansMaleROC CurveSensitivity and SpecificityAUCDiagnosticMeta-analysisProstate cancerShear wave elastography

Identifiers

PMID40597866
PMCPMC12210685

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.