Evidence map›Paper›PMID 37191548›Full record

ArticleMicrobiology spectrum2023

Characteristics of the Salivary Microbiota in Periodontal Diseases and Potential Roles of Individual Bacterial Species To Predict the Severity of Periodontal Disease.

Suk Ji, Joong-Ki Kook, Soon-Nang Park, Yun Kyong Lim, Geum Hee Choi, Jae-Suk Jung

Open access · goldAbstract read
In one paragraph

Article in Microbiology spectrum, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 30 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
30citing papers in PubMed, 1 pooled it
8.1field-weighted citation impact, top 2% 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

30 citing papers in PubMed, 1 synthesis or guideline pooled it, 37 citations in OpenAlex.

  1. Pooled it
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  14. An Update of Salivary Biomarkers for the Diagnosis of Alzheimer's Disease.International journal of molecular sciences · 2025
    Review
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  16. Journal of dental sciences · 2025
    Article
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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

6 authors at 2 institutions in 1 country.

Suk Ji *Department of Periodontology, Institute of Oral Health Science, Ajou University School of Medicine, Suwon, Republic of Korea.ORCID 0000-0001-9720-6731
Joong-Ki Kook *Korean Collection for Oral Microbiology, Department of Oral Biochemistry, School of Dentistry, Chosun University, Gwangju, Republic of Korea.
Soon-Nang ParkKorean Collection for Oral Microbiology, Department of Oral Biochemistry, School of Dentistry, Chosun University, Gwangju, Republic of Korea.
Yun Kyong LimKorean Collection for Oral Microbiology, Department of Oral Biochemistry, School of Dentistry, Chosun University, Gwangju, Republic of Korea.
Geum Hee ChoiDepartment of Periodontology, Institute of Oral Health Science, Ajou University School of Medicine, Suwon, Republic of Korea.
Jae-Suk JungDepartment of Periodontology, Institute of Oral Health Science, Ajou University School of Medicine, Suwon, Republic of Korea.ORCID 0000-0002-2018-6450
Ajou University · KRChosun University · KR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The purposes of this study were to examine the compositional changes in the salivary microbiota according to the severity of periodontal disease and to verify whether the distribution of specific bacterial species in saliva can distinguish the severity of disease. Saliva samples were collected from 8 periodontally healthy controls, 16 patients with gingivitis, 19 patients with moderate periodontitis, and 29 patients with severe periodontitis. The V3 and V4 regions of the 16S rRNA gene in the samples were sequenced, and the levels of 9 bacterial species showing significant differences among the groups by sequencing analysis were identified using quantitative real-time PCR (qPCR). The predictive performance of each bacterial species in distinguishing the severity of disease was evaluated using a receiver operating characteristic curve. Twenty-nine species, including Porphyromonas gingivalis, increased as the severity of disease increased, whereas 6 species, including Rothia denticola, decreased. The relative abundances of P. gingivalis, Tannerella forsythia, Filifactor alocis, and Prevotella intermedia determined by qPCR were significantly different among the groups. The three bacterial species P. gingivalis, T. forsythia, and F. alocis were positively correlated with the sum of the full-mouth probing depth and were moderately accurate at distinguishing the severity of periodontal disease. In conclusion, the salivary microbiota showed gradual compositional changes according to the severity of periodontitis, and the levels of P. gingivalis,

Indexed as

MicrobiotaPeriodontal DiseasesPeriodontitisBacteroidesHumansPorphyromonas gingivalisRNA, Ribosomal, 16SRNA, Ribosomal, 16SFilifactor alocismicrobiotaperiodontal diseasePorphyromonas gingivalissalivaTannerella forsythia

Identifiers

PMID37191548
PMCPMC10269672
OpenAlexW4376643154

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.