Evidence map›Paper›PMID 40352609›Full record

SynthesisFrontiers in pediatrics2025

Determining the optimal contrast-enhanced voiding urosonography technique for vesicoureteral reflux in children and adolescents: a systematic review and network meta-analysis.

Sha Hu, Yu Tian, Min He

Abstract readSystematic Review
In one paragraph

Synthesis in Frontiers in pediatrics, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

3 authors.

Sha HuDepartment of Ultrasound, West China Second University Hospital, Sichuan University/Key Laboratory of Obstetrics & Gynecology, Pediatric Diseases, and Birth Defects of the Ministry of Education, Chengdu, China.
Yu TianDepartment of Ultrasound, West China Second University Hospital, Sichuan University/Key Laboratory of Obstetrics & Gynecology, Pediatric Diseases, and Birth Defects of the Ministry of Education, Chengdu, China.
Min HeDepartment of Ultrasound, West China Second University Hospital, Sichuan University/Key Laboratory of Obstetrics & Gynecology, Pediatric Diseases, and Birth Defects of the Ministry of Education, Chengdu, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Aim: To evaluate diagnostic combinations of imaging modalities and contrast agents for vesicoureteral reflux (VUR) in children. Methods: Studies were retrieved in PubMed, EMBASE, Cochrane Library, Web of science, and China National Knowledge Infrastructure (CNKI) until March 16, 2023. We used bivariate random-effects model and a frequentist model for meta-analysis. Surface under the cumulative ranking curve (SUCRA) was used to rank ceVUS protocols. Results: 19 studies identified 4 diagnostic combinations. Contrast-harmonic ultrasound with SonoVue® (CHSV) had significantly lower sensitivity, specificity, and diagnostic accuracy than VCUG, although its negative predictive value was higher than VCUG. Contrast-harmonic ultrasound with Optison™ (CHOS) was comparable to VCUG across all diagnostic measures. SUCRA analysis favored CHOS, with probabilities of being the best for SEN, SPE, PPV, NPV, DOR, and DA at 50.9%, 16.6%, 42.6%, 57.4%, 36.2%, and 20.4%, respectively. Conclusion: Harmonic VUS with Optison™ may be the optimal protocol for VUR detection in children. Systematic Review Registration: https://www.crd.york.ac.uk/PROSPERO/view/CRD42023424510, identifier (CRD42023424510).

Indexed as

contrast-enhanced voiding urosonographydiagnostic performancenetwork meta-analysisvesicoureteral refluxvoiding cystourethrography

Identifiers

PMID40352609
PMCPMC12061863

What OpenQuestion holds

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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.