Evidence map›Paper›PMID 40330867›Full record

ArticleJournal of oral microbiology2025

Correlation of tongue coating thickness with microinflammatory state and oral microbiome in maintenance hemodialysis patients.

Yanqin Zhu, Xueyan Zeng, Aiping Zhang, Bin Lu, Mengqi Wu, Hong Liu, Fenggui Zhu, Riyang Lin

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 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Article
  3. ThickFrontiers in cellular and infection microbiology · 2025
    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

8 authors.

Yanqin ZhuDepartment of Nephrology, Hangzhou TCM Hospital of Zhejiang Chinese Medical University, Hangzhou City, China.ORCID https://orcid.org/0009-0002-2188-344X
Xueyan ZengDepartment of Nephrology, Sichuan Second Hospital of Traditional Chinese Medicine, Chengdu City, China.
Aiping ZhangDepartment of Nephrology, Hangzhou TCM Hospital of Zhejiang Chinese Medical University, Hangzhou City, China.
Bin LuDepartment of Nephrology, Hangzhou TCM Hospital of Zhejiang Chinese Medical University, Hangzhou City, China.
Mengqi WuDepartment of Nephrology, Hangzhou TCM Hospital of Zhejiang Chinese Medical University, Hangzhou City, China.
Hong LiuDepartment of Nephrology, Hangzhou TCM Hospital of Zhejiang Chinese Medical University, Hangzhou City, China.
Fenggui ZhuDepartment of Nephrology, Hangzhou TCM Hospital of Zhejiang Chinese Medical University, Hangzhou City, China.
Riyang LinDepartment of Nephrology, Hangzhou TCM Hospital of Zhejiang Chinese Medical University, Hangzhou City, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Aim: This study investigated the correlation between tongue coating thickness (TCT), micro-inflammatory state (MIS), and oral microbiome in maintenance hemodialysis (MHD) patients. Methods: Forty MHD patients (20 thin-tongue coating [BTZ], 20 thick-tongue coating [HTZ]) and 15 healthy controls (DZZ) were enrolled. Blood microinflammatory markers were analyzed in all patients. Saliva samples from 15 HTZ, 15 BTZ, and 15 DZZ underwent 16S rRNA sequencing. Results: HTZ patients exhibited higher microinflammatory marker levels than BTZ. Oral microbiome species richness in DZZ surpassed that of the MHD groups, with distinct structural differences, particularly between HTZ and DZZ. HTZ showed higher abundances of Conclusion: Thick tongue coating in MHD patients is associated with elevated microinflammation and altered oral microbiome, suggesting a link between inflammation and microbial dysbiosis.

Indexed as

16S rRNA sequencingMaintenance hemodialysismicroinflammatory statusoral microbiometongue coating thickness

Identifiers

PMID40330867
PMCPMC12054557

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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.