Evidence map›Paper›PMID 36814562›Full record

ReviewFrontiers in microbiology2023

Advances in the oral microbiota and rapid detection of oral infectious diseases.

Xuan Xiao, Shangfeng Liu, Hua Deng, Yuhan Song, Liang Zhang, Zhifeng Song

Open access · goldAbstract readReview
In one paragraph

Review in Frontiers in microbiology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed, 1 pooled it
5.9field-weighted citation impact, top 3% 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

13 citing papers in PubMed, 1 synthesis or guideline pooled it, 27 citations in OpenAlex.

  1. Pooled it
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  4. A Pilot Study ofDiagnostics (Basel, Switzerland) · 2026
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  6. 3 Biotech · 2025
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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 3 institutions in 1 country.

Xuan XiaoDepartment of Oral Mucosa, Shanghai Stomatological Hospital, Fudan University, Shanghai, China.
Shangfeng LiuShanghai Key Laboratory of Craniomaxillofacial Development and Diseases, Shanghai Stomatological Hospital, Fudan University, Shanghai, China.
Hua DengTranslational Medicine Center, Guangdong Women and Children Hospital, Guangzhou, China.
Yuhan SongDepartment of Oral Mucosa, Shanghai Stomatological Hospital, Fudan University, Shanghai, China.
Liang ZhangTranslational Medicine Center, Guangdong Women and Children Hospital, Guangzhou, China.
Zhifeng SongDepartment of Oral Mucosa, Shanghai Stomatological Hospital, Fudan University, Shanghai, China.
Fudan University · CNGuangdong Province Women and Children Hospital · CNShanghai Stomatological Hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Several studies have shown that the dysregulation of the oral microbiota plays a crucial role in human health conditions, such as dental caries, periodontal disease, oral cancer, other oral infectious diseases, cardiovascular diseases, diabetes, bacteremia, and low birth weight. The use of traditional detection methods in conjunction with rapidly advancing molecular techniques in the diagnosis of harmful oral microorganisms has expanded our understanding of the diversity, location, and function of the microbiota associated with health and disease. This review aimed to highlight the latest knowledge in this field, including microbial colonization; the most modern detection methods; and interactions in disease progression. The next decade may achieve the rapid diagnosis and precise treatment of harmful oral microorganisms.

Indexed as

infectious diseasesmicrobiotaoral cavityprecise treatmentrapid diagnosis

Identifiers

PMID36814562
PMCPMC9939651
OpenAlexW4319322373

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.