Evidence map›Paper›PMID 34817273›Full record

ArticleTrends in hearing

Objective Assessment System for Hearing Prediction Based on Stimulus-Frequency Otoacoustic Emissions.

Qin Gong, Yin Liu, Runyi Xu, Dong Liang, Zewen Peng, Honghao Yang

Abstract read
In one paragraph

Article in Trends in hearing. 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. Early detection and management of hearing loss to improve the quality of life.Asian biomedicine : research, reviews and news · 2024
    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

6 authors.

Qin GongDepartment of Biomedical Engineering, 12442Tsinghua University, Beijing, China.ORCID 0000-0002-5664-8477
Yin LiuDepartment of Biomedical Engineering, 12442Tsinghua University, Beijing, China.
Runyi XuDepartment of Biomedical Engineering, 12442Tsinghua University, Beijing, China.
Dong LiangDepartment of Biomedical Engineering, 12442Tsinghua University, Beijing, China.
Zewen PengDepartment of Biomedical Engineering, 12442Tsinghua University, Beijing, China.
Honghao YangDepartment of Biomedical Engineering, 12442Tsinghua University, Beijing, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Stimulus-frequency otoacoustic emissions (SFOAEs) can be useful tools for assessing cochlear function noninvasively. However, there is a lack of reports describing their utility in predicting hearing capabilities. Data for model training were collected from 245 and 839 ears with normal hearing and sensorineural hearing loss, respectively. Based on SFOAEs, this study developed an objective assessment system consisting of three mutually independent modules, with the routine test module and the fast test module used for threshold prediction and the hearing screening module for identifying hearing loss. Results evaluated via cross-validation show that the routine test module and the fast test module predict hearing thresholds with similar performance from 0.5 to 8 kHz, with mean absolute errors of 7.06-11.61 dB for the routine module and of 7.40-12.60 dB for the fast module. However, the fast module involves less test time than is needed in the routine module. The hearing screening module identifies hearing status with a large area under the receiver operating characteristic curve (0.912-0.985), high accuracy (88.4-95.9%), and low false negative rate (2.9-7.0%) at 0.5-8 kHz. The three modules are further validated on unknown data, and the results are similar to those obtained through cross-validation, indicating these modules can be well generalized to new data. Both the routine module and fast module are potential tools for predicting hearing thresholds. However, their prediction performance in ears with hearing loss requires further improvement to facilitate their clinical utility. The hearing screening module shows promise as a clinical tool for identifying hearing loss.

Indexed as

DeafnessHearing Loss, SensorineuralAuditory ThresholdHearingHearing TestsHumansOtoacoustic Emissions, Spontaneoushearing screeningobjective assessment systemstimulus-frequency otoacoustic emissionsthreshold prediction

Identifiers

PMID34817273
PMCPMC8738859

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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.