Evidence map›Paper›PMID 41069439›Full record

ArticleJournal of otology2025

Numerical analysis of the effect of middle-ear effusion on the sound transmission and energy absorbance of the human ear.

Peihan Liu, Hang Li, Wen Jiang, Wen Liu, Yuehua Qiao, Houguang Liu

Abstract read
In one paragraph

Article in Journal of otology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

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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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

6 authors.

Peihan LiuSchool of Mechatronic Engineering, China University of Mining and Technology, Xuzhou, 221116, China.
Hang LiDepartment of Otolaryngology, The Third People's Hospital of Dalian, Dalian, 116033, China.
Wen JiangThe First Clinical Medical School, Xuzhou Medical University, Xuzhou, 221000, China.
Wen LiuThe First Clinical Medical School, Xuzhou Medical University, Xuzhou, 221000, China.
Yuehua QiaoThe First Clinical Medical School, Xuzhou Medical University, Xuzhou, 221000, China.
Houguang LiuSchool of Mechatronic Engineering, China University of Mining and Technology, Xuzhou, 221116, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This study aims to investigate the impact of middle ear effusion (MEE) on sound transmission in the human ear and its potential diagnostic significance. Firstly, the material properties of specific structures were adjusted based on the existing human ear finite element (FE) model, and the accuracy of the model was validated using experimental data. Secondly, six FE models were developed to simulate varying degrees of MEE by systematically altering the material properties of the middle ear cavity (MEC) at different anatomical locations. Finally, the effects of these six FE models, representing varying degrees of MEE, on sound transmission characteristics and energy absorption (EA) rate in the human ear were systematically analyzed. When the degree of MEE is less than 50% of the MEC volume, its impact on the sound transmission characteristics of the human ear remains minimal, resulting in an estimated hearing loss of approximately 3 dB, with EA rate remaining close to normal levels. Once the effusion exceeds 50% of the MEC volume, a significant deterioration in acoustic transmission is observed, accompanied by a flattening of the EA curve and a drop in EA rates to below 20%. When the effusion completely fills the MEC, the maximum hearing loss reaches 46.47 dB, and the EA rate approaches zero across the entire frequency range. These findings provide theoretical insights into the biomechanical effects of MEE on human auditory transmission and offer a reference for clinical diagnosis and evaluation.

Indexed as

Energy absorbanceFinite element modelHearing lossMiddle ear cavityMiddle-ear effusion

Identifiers

PMID41069439
PMCPMC12510361

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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.