Evidence map›Paper›PMID 40247863›Full record

ArticleJournal of oral microbiology2025

Preliminary analysis of salivary microbiota in catathrenia (nocturnal groaning) using machine learning algorithms.

Min Yu, Yujia Lu, Wanxin Zhang, Xu Gong, Zeliang Hao, Liyue Xu, Yongfei Wen, Xiaosong Dong, Fang Han, Xuemei Gao

Abstract read
In one paragraph

Article in Journal of oral microbiology, 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.

Min YuDepartment of Orthodontics, Peking University School and Hospital of Stomatology, Beijing, P.R. China.ORCID https://orcid.org/0000-0001-7208-2197
Yujia LuDepartment of Orthodontics, Peking University School and Hospital of Stomatology, Beijing, P.R. China.
Wanxin ZhangDepartment of Orthodontics, Peking University School and Hospital of Stomatology, Beijing, P.R. China.
Xu GongDepartment of Orthodontics, Peking University School and Hospital of Stomatology, Beijing, P.R. China.
Zeliang HaoDepartment of Stomatology, Xuanwu Hospital, Capital Medical University, Beijing, P.R. China.
Liyue XuSleep Division, Peking University People's Hospital, Beijing, P.R. China.
Yongfei WenSleep Division, Peking University People's Hospital, Beijing, P.R. China.
Xiaosong DongSleep Division, Peking University People's Hospital, Beijing, P.R. China.
Fang HanSleep Division, Peking University People's Hospital, Beijing, P.R. China.
Xuemei GaoDepartment of Orthodontics, Peking University School and Hospital of Stomatology, Beijing, P.R. China.ORCID https://orcid.org/0000-0001-5690-9385

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objectives: The present study aimed to characterize the salivary microbiota in patients with catathrenia and to longitudinally validate potential biomarkers after treatment with mandibular advancement devices (MAD). Materials and methods: Twenty-two patients with catathrenia (12 M/10 F, median age 28 y) and 22 age-matched control volunteers (8 M/14 F, median age 30 y) were included in the cross-sectional study. Video/audio polysomnography was conducted for diagnosis. All patients received treatment with custom-fit MAD and were followed for one month. Ten patients (6 M/4 F) underwent post-treatment PSG. Salivary samples were collected, and microbial characteristics were analyzed using 16S rRNA gene sequencing. The 10-fold cross-validated XGBoost and nested Random Forest Classifier machine learning algorithms were utilized to identify potential biomarkers. Results: In the cross-sectional study, patients with catathrenia had lower α-diversity represented by Chao 1, Faith's phylogenetic diversity (pd), and observed species. Beta-diversity based on the Bray-Curtis dissimilarities revealed a significant inter-group separation ( Conclusions: High-throughput sequencing revealed that the salivary microbiota composition was significantly altered in patients with catathrenia. Some characteristic genera (

Indexed as

biomarkermicrobiotaNocturnal groaningSleep-disordered breathingupper airway

Identifiers

PMID40247863
PMCPMC12004722

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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.