Evidence map›Paper›PMID 41834964›Full record

ArticleSichuan da xue xue bao. Yi xue ban = Journal of Sichuan University. Medical science edition2026

[Differences in Oral and Gut Microbiome Composition Among Preschool Children in Urumqi During the Deciduous and Mixed Dentition Periods].

Ting Ma, Bingjie Lian, Zeyu Wu, Jin Zhao

Abstract readEnglish Abstract
PubMed Full text at PMC Publisher
In one paragraph

Article in Sichuan da xue xue bao. Yi xue ban = Journal of Sichuan University. Medical science edition, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

4 authors.

Ting Ma（） （ 830000）Department of Endodontics, the First Affiliated Hospital of Xinjiang Medical University (Affiliated Stomatology Hospital), Urumqi 830000, China.ORCID 0000000332273137
Bingjie Lian（） （ 830000）Department of Endodontics, the First Affiliated Hospital of Xinjiang Medical University (Affiliated Stomatology Hospital), Urumqi 830000, China.
Zeyu Wu（） （ 830000）Department of Endodontics, the First Affiliated Hospital of Xinjiang Medical University (Affiliated Stomatology Hospital), Urumqi 830000, China.
Jin Zhao（） （ 830000）Department of Endodontics, the First Affiliated Hospital of Xinjiang Medical University (Affiliated Stomatology Hospital), Urumqi 830000, China.ORCID 0000000252074680

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: To analyze the oral and gut microbial composition in preschool children during the deciduous and mixed dentition stages, and to investigate the characteristics of microbiota across different dentition stages. Methods: Using 16S rRNA gene-based third-generation sequencing, this study analyzed saliva and fecal samples collected from 10 children with deciduous dentition and 10 with mixed dentition. The composition and differences in oral and gut microbiota between the two groups were compared. Results: The differences in microbial richness (Chao1 index) and evenness (Shannon index) between the oral cavity and intestine were statistically significant ( Conclusion: The composition of oral and gut microbiota varies among children at different dentition stages. As dentition changes, the structural diversity and metabolic functions of both oral and gut microbiota also change.

Indexed as

Dentition, MixedGastrointestinal MicrobiomeMicrobiotaMouthTooth, DeciduousBacillotaBacteriaBacteroidetesChild, PreschoolChinaFecesFemaleHumansMaleProteobacteriaRNA, Ribosomal, 16SRNA, Ribosomal, 16S16S rRNADeciduous dentitionGut microbiotaMixed dentitionOral microbiota

Identifiers

PMID41834964
PMCPMC12979980

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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.