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Record W4413800200 · doi:10.2319/112724-978.1

Orthodontic treatment and oral microbiota changes: a systematic review of oral dysbiosis revealed by 16S rRNA gene analysis

2025· review· en· W4413800200 on OpenAlexaboutno aff
Sara Di Nicolantonio, Serena Altamura, Davide Pietropaoli, Annalisa Monaco, Eleonora Ortu

Bibliographic record

VenueThe Angle Orthodontist · 2025
Typereview
Languageen
FieldDentistry
TopicOral microbiology and periodontitis research
Canadian institutionsnot available
Fundersnot available
KeywordsDysbiosisMedicineOral health16S ribosomal RNADentistryOral MicrobiomeBiologyGut floraBacteriaImmunologyOral cavityGenetics

Abstract

fetched live from OpenAlex

Objectives: Evaluate the changes in oral microbiota linked to orthodontic treatment by analyzing the 16S rRNA gene. Materials and Methods: A total of 22 articles was included in the systematic review. The methodological quality of these studies was assessed using the Newcastle-Ottawa Scale for nonrandomized studies and the Risk of Bias tool for randomized studies. Results: Orthodontic appliances significantly influenced the composition of oral microbiota. Specifically, fixed orthodontic appliances were linked to an increase in periodontopathogenic bacteria associated with various systemic diseases. In contrast, transparent aligners correlated with an increase in Streptococcus species. Conclusions: In this study, we evaluated the changes in oral microbiota associated with orthodontic treatment by analyzing the 16S rRNA gene. Results revealed significant alterations in oral microbiota following orthodontic treatment; however, significant variability among studies prevents firm conclusions. Additional research is essential to clarify the effects on oral health.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.003
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Systematic review · Consensus signal: Systematic review
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.437
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.001
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0090.002
Bibliometrics0.0010.003
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0010.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.047
GPT teacher head0.368
Teacher spread0.321 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

Study designSystematic review
Domainnot available
GenreReview

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations2
Published2025
Admission routes1
Has abstractyes

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