Evidence map›Paper›PMID 34143307›Full record

ArticleClinical oral investigations2022

Characterization of salivary microbiota in elderly patients with type 2 diabetes mellitus: a matched case-control study.

Michi Omori, Nahoko Kato-Kogoe, Shoichi Sakaguchi, Kuniyasu Kamiya, Nozomu Fukui, Yan-Hong Gu, Shota Nakamura, Takashi Nakano, Masaaki Hoshiga, Akihisa Imagawa and 3 more

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Article in Clinical oral investigations, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers.

0numbers the graph read from it
0cells of the map it votes in
24citing papers in PubMed
3.2field-weighted citation impact, top 8% of its field
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

24 citing papers in PubMed, 28 citations in OpenAlex.

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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

13 authors at 3 institutions in 2 countries.

Michi OmoriDepartment of Dentistry and Oral Surgery, Osaka Medical College, 2-7 Daigaku-machi. Takatsuki City, Osaka, 569-8686, Japan.
Nahoko Kato-KogoeDepartment of Dentistry and Oral Surgery, Osaka Medical College, 2-7 Daigaku-machi. Takatsuki City, Osaka, 569-8686, Japan. nahoko.kogoe@ompu.ac.jp.ORCID http://orcid.org/0000-0003-3585-5714
Shoichi SakaguchiDepartment of Microbiology and Infection Control, Osaka Medical College, Takatsuki, Japan.
Kuniyasu KamiyaDepartment of Hygiene and Public Health, Osaka Medical College, Takatsuki, Japan.
Nozomu FukuiDepartment of Dentistry and Oral Surgery, Osaka Medical College, 2-7 Daigaku-machi. Takatsuki City, Osaka, 569-8686, Japan.
Yan-Hong GuDepartment of Hygiene and Public Health, Osaka Medical College, Takatsuki, Japan.
Shota NakamuraDepartment of Infection Metagenomics, Genome Information Research Center, Research Institute for Microbial Diseases, Osaka University, Suita, Japan.
Takashi NakanoDepartment of Microbiology and Infection Control, Osaka Medical College, Takatsuki, Japan.
Masaaki HoshigaDepartment of Cardiology, Osaka Medical College, Takatsuki, Japan.
Akihisa ImagawaDepartment of Internal Medicine (I), Osaka Medical College, Takatsuki, Japan.
Chee Hoe KitPeriodontics Unit, Department of Restorative Dentistry, National Dental Centre Singapore, Singapore, Singapore.
Junko TamakiDepartment of Hygiene and Public Health, Osaka Medical College, Takatsuki, Japan.
Takaaki UenoDepartment of Dentistry and Oral Surgery, Osaka Medical College, 2-7 Daigaku-machi. Takatsuki City, Osaka, 569-8686, Japan.
Osaka Medical and Pharmaceutical University · JPNational Dental Centre of Singapore · SGThe University of Osaka · JP

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveThe importance of oral health in type 2 diabetes mellitus (T2DM) is widely recognized; however, oral microbiota characteristics associated with T2DM in the elderly population are not well-understood. This study was conducted to evaluate the characteristics of the salivary microbiota in elderly Japanese patients with T2DM.

methodsSaliva samples were collected from 42 elderly Japanese patients with T2DM and 42 age- and sex-matched subjects without T2DM (control). 16S ribosomal RNA metagenomic analysis and comparative analysis of both groups were performed. Random forest classification by machine learning was performed to discriminate between the salivary microbiota in the two groups.

resultsThere were significant differences in the overall salivary microbiota structure between the T2DM and control groups (beta diversity; unweighted UniFrac distances, p = 0.001; weighted UniFrac distances, p = 0.001). The phylum Firmicutes was abundant in patients with T2DM, whereas the phylum Bacteroidetes was abundant in controls. The T2DM prediction model by random forest based on salivary microbiota data was verified with a high predictive potential in five cross-validation tests (area under the curve (AUC) = 0.938 (95% CI, 0.824-1.000)).

conclusionCharacterization revealed that the salivary microbiota profile of the elderly patients with T2DM is significantly distinct from that of the controls. CLINICAL RELEVANCE: These data indicate the necessity of oral health management based on the characteristics of the salivary microbiota in elderly patients with T2DM. Our findings will contribute to future research on the development of new diagnostic and therapeutic methods for this purpose.

Indexed as

Diabetes Mellitus, Type 2MicrobiotaAgedCase-Control StudiesHumansRNA, Ribosomal, 16SSalivaRNA, Ribosomal, 16S16S rRNA metagenomic analysisElderlyOral microbiotaSalivaType 2 diabetes mellitus

Identifiers

PMID34143307
OpenAlexW3171916502

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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.