Evidence map›Paper›PMID 40739219›Full record

ArticleBMC geriatrics2025

A composite risk score to identify older adults at high risk of hearing loss in a community screening program.

Juan Juan Li, Wei Xiang Gao, Jiao Wang, Yan Hong Zhang, Fei Ji, Yao Dan Yuan, Peng Zhang, Fang Ma, Lin Xu, Xian Hai Zeng

Abstract read
In one paragraph

Article in BMC geriatrics, 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

10 authors.

Juan Juan Li *Department of Otolaryngology, Shenzhen Longgang Otolaryngology Hospital and Shenzhen Institute of Otolaryngology, Shenzhen, Guangdong, 518172, China.
Wei Xiang Gao *School of Public Health, Sun Yat-sen University, Guangzhou, Guangdong, China.
Jiao WangSchool of Public Health, Sun Yat-sen University, Guangzhou, Guangdong, China.
Yan Hong ZhangDepartment of Otolaryngology, Shenzhen Longgang Otolaryngology Hospital and Shenzhen Institute of Otolaryngology, Shenzhen, Guangdong, 518172, China.
Fei JiSenior Department of Otolaryngology Head and Neck Surgery, the 6th Medical Center of Chinese PLA General Hospital, Beijing, 100853, China.
Yao Dan YuanShenzhen Longgang Fifth People's Hospital, Shenzhen, Guangdong, 518111, China.
Peng ZhangDepartment of Otolaryngology, Shenzhen Longgang Otolaryngology Hospital and Shenzhen Institute of Otolaryngology, Shenzhen, Guangdong, 518172, China.
Fang MaDepartment of Otolaryngology, Shenzhen Longgang Otolaryngology Hospital and Shenzhen Institute of Otolaryngology, Shenzhen, Guangdong, 518172, China.
Lin Xu *School of Public Health, Sun Yat-sen University, Guangzhou, Guangdong, China. xulin27@mail.sysu.edu.cn.
Xian Hai Zeng *Department of Otolaryngology, Shenzhen Longgang Otolaryngology Hospital and Shenzhen Institute of Otolaryngology, Shenzhen, Guangdong, 518172, China. zxhklwx@163.com.

Funding

Shenzhen Longgang Innovation of Science and Technology Commission LGKCYLWS2023003
6 · The paper itself

Abstract

backgroundAge-related hearing loss (HL) is highly prevalent among older adults, yet it often goes undetected and untreated. Routine screening in community settings is not widespread, and hearing aid uptake remains very low. We aimed to construct a composite risk score to identify individuals at high risk of HL for targeted audiometric screening.

methodsWe conducted a cross-sectional study using data from a community-based health screening program in Shenzhen, China. Participants underwent pure-tone audiometry at 500-8000 Hz to determine hearing thresholds. Moderate or greater HL was defined as a pure-tone average (PTA) ≥ 35dB in the better ear. Stepwise multivariable regression was used to identify predictors of HL, which were then used to develop a cumulative Hearing Risk Score (HRS).

resultsA total of 2,490 adults (mean age, 67.5 years, SD 5.8 years) were included; 32.5% (810 participants) had moderate or greater hearing loss. Of 22 risk factors included in the stepwise regression model, seven were identified: self-reported hearing difficulty, age 65 years or older, male sex, social isolation, cardiovascular disease, and metabolic disease. These were incorporated into the HRS, with total scores ranging from 1 to 23. The HRS was strongly associated with moderate or greater hearing loss, with adjusted odds ratios increasing from 4.50 (95% confidence interval (CI), 1.57-12.88) for a score of 1 to 39.11 (13.50-113.33) for a score of 6 or more (P for trend < 0.001). Similar dose-response patterns were observed at all frequencies tested (0.5 to 8 kHz).

conclusionsThe HRS showed a clear dose-response relationship with HL and may serve as a practical tool to target older adults for confirmatory audiologic evaluation.

Indexed as

Community Health ServicesHearing LossMass ScreeningAgedAged, 80 and overAudiometry, Pure-ToneChinaCross-Sectional StudiesFemaleHumansMaleMiddle AgedRisk AssessmentRisk FactorsHearing lossOlder adultsRisk scoreScreening

Identifiers

PMID40739219
PMCPMC12312306

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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.