Is Streptococcus mutans count a risk predictor of Early Childhood Caries? A systematic review and meta-analysis
Bibliographic record
Abstract
Abstract Background The review aims to determine the risk predictability of S. mutans in the development of carious lesions in children with primary dentition.Methods Longitudinal observational studies with at least 6 months follow-up and evaluating S. mutans presence in caries-free children less than 6 years of age for the development of any cavitated or non-cavitated carious lesion. Six databases and grey literature were searched without any restrictions. Risk of bias was evaluated using New Castle Ottawa scale for longitudinal studies and the certainty of evidence was evaluated by Grading of Recommendations Assessment, Development and Evaluation using GRADEpro software. Meta- analysis was performed using a random effect (DerSimonian and Laird, DL) model and heterogeneity was evaluated using tau-squared, I² statistics and prediction interval. Sensitivity analysis was performed to assess the relationship between the S. mutans presence at baseline and the caries development, according to the sample and methods used for the microbiological assessment and the length of follow-up of the studies. Publication bias was checked by funnel plot using a random effect (DerSimonian and Laird, DL) model.Results Twelve studies met the inclusion criteria and were included in the review. Four studies received a maximum of 9 stars and among the remaining eight studies, six received 8 stars and the rest two studies were assigned 7 stars in the risk of bias scale. After pooling the results quantitatively, odds ratio (OR) was found to be 4.13 (95% CI: 3.33, 5.12), suggesting that children with S. mutans had 4 times higher odds of developing caries later (p < 0.001). Four studies were pooled to compare future caries experience among children with and without S. mutans at baseline, obtaining standardized mean difference (SMD) of 0.85 (95% CI: 0.33, 1.37), indicating large effect (p < 0.001). Certainty of evidence was found to be high, and no publication bias was reported by the funnel plot criteria of symmetry.Conclusions Presence of S. mutans in a preschool child is a risk predictor for future caries experience. Early identification of children with increased caries-risk may facilitate in implementation of appropriate preventive strategies.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.015 | 0.042 |
| Meta-epidemiology (narrow) | 0.003 | 0.002 |
| Meta-epidemiology (broad) | 0.025 | 0.038 |
| Bibliometrics | 0.009 | 0.008 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.005 | 0.002 |
| Open science | 0.003 | 0.002 |
| Research integrity | 0.003 | 0.002 |
| Insufficient payload (model declined to judge) | 0.004 | 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 source (direct Gemma or distilled Codex), 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".