Evidence map›Paper›PMID 37548872›Full record

ArticleBiomechanics and modeling in mechanobiology2024

Pathogenic mechanism analysis of cochlear key structural lesion and phonosensitive hearing loss.

Junyi Liang, Jiakun Wang, Mianzhi Wang, Wenjuan Yao

Abstract read
PubMed Publisher
In one paragraph

Article in Biomechanics and modeling in mechanobiology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed, 1 pooled it
0.6field-weighted citation impact, top 36% of its field
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 synthesis or guideline pooled it, 3 citations in OpenAlex.

  1. Pooled it
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

4 authors at 2 institutions in 2 countries.

Junyi LiangGenomic Medicine Institute, Lerner Research Institute, Cleveland Clinic Foundation, Cleveland, OH, 44106, USA.
Jiakun WangSchool of Mechanics and Engineering Science, Shanghai University, Shanghai, 200072, People's Republic of China.
Mianzhi WangSchool of Mechanics and Engineering Science, Shanghai University, Shanghai, 200072, People's Republic of China.
Wenjuan YaoSchool of Mechanics and Engineering Science, Shanghai University, Shanghai, 200072, People's Republic of China. wjyao@shu.edu.cn.
Shanghai University · CNCleveland Clinic · US

Funding

National Natural Science Foundation of China 11932010
6 · The paper itself

Abstract

Due to ethical issues and the very fine and complex structure of the cochlea, it is difficult to directly perform experimental measurement on the human cochlea. Therefore, the finite element method has become an effective and replaceable new research means. Accurate numerical analysis on human ear using finite element method can provide better understanding of sound transmission and can be used to assess the influence of diseases on hearing and to treat hearing loss. In this research, a three-dimensional (3D) finite element model (FEM) of the human ear of cochlea was presented to investigate the destruction of basilar membrane (BM), round window (RW) sclerosis and perilymph fistula, the key structures of the cochlea, and analyze the effects of these abnormal pathological states in the cochlea on cochlear hearing, resulting in the changes in cochlear sense structure biomechanical behavior and quantitative prediction of the degree and harm of the disorder to the decline of human hearing. Therefore, this paper can deepen reader's understanding of the cochlear biomechanical mechanism and provide a theoretical foundation for clinical otology.

Indexed as

CochleaHearing LossBasilar MembraneHearingHumansRound Window, EarBM's destructionCochleaFEMHearing lossPerilymph fistulaRW sclerosis

Identifiers

PMID37548872
OpenAlexW4385619778

What OpenQuestion holds

Textmetadata
Read underepoch 390

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.