Evidence map›Paper›PMID 39040356›Full record

ArticleHeliyon2024

Predictive accuracy of wideband absorbance in children with large vestibular aqueduct syndrome: A single-center retrospective study.

Wen Jiang, Xuanyi Li, Yi Mu, Huiying Zhang, Naveena Konduru, Yuehua Qiao, Fei Zhao, Wen Liu

Abstract read
In one paragraph

Article in Heliyon, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Article
  2. Article
  3. Review
  4. 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

8 authors.

Wen JiangDepartment of Otolaryngology, The Affiliated Hospital of Xuzhou Medical University, Xuzhou, 221000, China.
Xuanyi LiDepartment of Otolaryngology, The Affiliated Hospital of Xuzhou Medical University, Xuzhou, 221000, China.
Yi MuThe College of Medical Technology, Xuzhou Medical University, Xuzhou, 221000, China.
Huiying ZhangThe College of Medical Technology, Xuzhou Medical University, Xuzhou, 221000, China.
Naveena KonduruDepartment of Otolaryngology, The Affiliated Hospital of Xuzhou Medical University, Xuzhou, 221000, China.
Yuehua QiaoDepartment of Otolaryngology, The Affiliated Hospital of Xuzhou Medical University, Xuzhou, 221000, China.
Fei ZhaoCentre for SLT and Hearing Sciences, Cardiff School of Sport and Health Sciences, Cardiff Metropolitan University, Cardiff, CF5 2YB, UK, Wales.
Wen LiuDepartment of Otolaryngology, The Affiliated Hospital of Xuzhou Medical University, Xuzhou, 221000, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objectives: This study aimed to assess the clinical significance of Wideband Absorbance (WBA) in children with Large Vestibular Aqueduct Syndrome (LVAS), which could potentially serve as diagnostic and predictive markers for LVAS in children. Design: This was a single-center retrospective case-control study. Audiological measurements and Wideband Acoustic Immittance (WAI) were performed. Propensity score matching (PSM) was considered to treat group imbalance. The Receiver Operating Characteristic (ROC) curves and area under the ROC curve (AUC) were used to evaluate the sensitivity and specificity of WBA. Study sample: Participants included 42 children with LVAS and 163 normal children aged 6 months -11 years recruited from clinical audiology settings between 2019 and 2021. Results: The WBA at Tympanometric Peak Pressure (WBA Conclusions: WBA holds promise in distinguishing LVAS from the normal condition and warrants further exploration as a tool to examine the influence of inner ear pressure on acoustic energy transmission in the middle ear.

Indexed as

AUCChildrenLVASRetrospective case-control studyWideband absorbance

Identifiers

PMID39040356
PMCPMC11261878

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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.