Characterization of the oral microbiota and the relationship of the oral microbiota with the dental and periodontal status in children and adolescents with nonsyndromic cleft lip and palate. Systematic literature review and meta-analysis
Bibliographic record
Abstract
OBJECTIVE: To identify the characteristics of the oral microbiota and the relationship of the dental caries and periodontal status in patients aged 0 to 18 years with non-syndromic cleft lip and palate (CLP). MATERIALS AND METHODS: A systematic review of the literature was carried out. Five databases were consulted, including publications in English, Spanish and Portuguese. The evaluations of the quality of the observational studies and the experimental studies were carried out with the Newcastle-Ottawa scale and CONSORT guidelines, respectively. The risk of bias of the studies was determined using Rev Manager 5.4, and 5 publications were meta-analyzed. RESULTS: The cariogenic microbiota of children and adolescents with cleft lip and palate was similar to that of children without clefts, although with higher counts of Streptococcus mutans and Lactobacillus spp. The periodontopathogenic microbiota was related to the presence of Campylobacter spp, Fusobacterium spp, Fusobacterium nucleatum, Prevotella intermedia/nigrescens, Parvimonas micra and Porphyromonas gingivalis, considered microorganisms with high pathogenic capacity. Heterogeneity was shown in relation to the microbiota and the type of fissure, presenting numerous microorganisms associated with the pre- and post-surgical condition (cheilorrhaphy and palatorrhaphy) such as Staphylococcus aureus, Streptococcus beta hemolyticus, Klebsiella pneumoniae and Klebsiella oxytoca, Moraxella catarrhalis, Candida spp, Candida albicans, Candida krusei and Candida tropicalis. The meta-analysis revealed that patients with cleft lip and palate were 2.03 times more likely to have caries than the control group (p<0.005). CONCLUSION: In the microbiota, there was a great diversity of microorganisms that can vary according to the type of fissure and surgical interventions predisposing patients to a greater probability of dental caries, it is important to take into account the technique used to describe the oral microbiota in order to be able to compare the different studies. CLINICAL RELEVANCE: Studying the microbiota and the relationship of dental caries and periodontal status in children and adolescents with cleft lip and palate can facilitate the comprehensive care of patients with these conditions.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.002 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
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".