Evidence map›Paper›PMID 39640791›Full record

ArticleHeliyon2024

Spectrum of DNA variants for patients with hearing loss in 4 language families of 15 ethnicities from Southwestern China.

Jingyu Li, Shiyu Zhou, Jiahong Pei, Wanzhen Li, Rongjie Cui, Xiaofei Ren, Jingru Wei, Qian Li, Baosheng Zhu, Yaliang Sa and 1 more

Abstract read
PubMed Full text at PMC Publisher
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 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. Novel splice-site variants inFrontiers in genetics · 2026
    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

11 authors.

Jingyu LiDepartment of Medical Genetics, the First People's Hospital of Yunnan Province, Kunming, Yunnan, China.
Shiyu ZhouDepartment of Medical Genetics, the First People's Hospital of Yunnan Province, Kunming, Yunnan, China.
Jiahong Peithe Affiliated Hospital of Kunming University of Science and Technology, No.157 Jinbi Road, Kunming, 650032, Yunnan, China.
Wanzhen LiDepartment of Medical Genetics, the First People's Hospital of Yunnan Province, Kunming, Yunnan, China.
Rongjie CuiDepartment of Medical Genetics, the First People's Hospital of Yunnan Province, Kunming, Yunnan, China.
Xiaofei RenDepartment of Medical Genetics, the First People's Hospital of Yunnan Province, Kunming, Yunnan, China.
Jingru WeiDepartment of Medical Genetics, the First People's Hospital of Yunnan Province, Kunming, Yunnan, China.
Qian Lithe Affiliated Hospital of Kunming University of Science and Technology, No.157 Jinbi Road, Kunming, 650032, Yunnan, China.
Baosheng ZhuDepartment of Medical Genetics, the First People's Hospital of Yunnan Province, Kunming, Yunnan, China.
Yaliang Sathe Affiliated Hospital of Kunming University of Science and Technology, No.157 Jinbi Road, Kunming, 650032, Yunnan, China.
Yunlong LiDepartment of Medical Genetics, the First People's Hospital of Yunnan Province, Kunming, Yunnan, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Hearing loss is a common disease. More than 100 genes have been reported to be associated with hereditary hearing loss. However, the distribution of these genes and their variants across diverse populations remains unclear. In this study, we gathered 347 hearing-impaired patients from four language families (Sinitic, Tibeto-Burman, Kra-Dai, and Hmong-Mien) in Southwestern China, excluding cases caused by common mutations in the

Indexed as

Diagnostic rateEthnicityHearing lossNext generation sequencingVariants of unknown significance (VUS)

Identifiers

PMID39640791
PMCPMC11620035

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.