Oral Health Statuses of Children and Young Adults with Autism Spectrum Disorder: An Umbrella Review
Bibliographic record
Abstract
This study aimed to comprehensively evaluate the oral health statuses of children and adults within the autism spectrum disorder (ASD) population through an umbrella review approach. The prevalence of dental caries, periodontal disease, and associated variables were investigated across selected studies. A systematic search was conducted across databases including PubMed, Scopus, EMBASE, Science Citation Index, Science Direct, Web of Science, MEDLINE, and Wiley Online Library to identify relevant studies. The assessed variables included dental caries prevalence, periodontal disease prevalence, oral hygiene indicators, and the necessity of dental treatment. The pooled prevalence rates, odds ratios, and standardized mean differences were calculated where applicable. The pooled prevalence of dental caries among ASD individuals ranged from 60.6% to 67.3%, while the periodontal disease prevalence ranged from 59.8% to 69.4%. High rates of dental treatment under general anesthesia were reported. Heterogeneous dental caries and periodontal disease prevalence rates were identified, highlighting the need for collaboration and preventive care. Several studies also reported higher prevalence rates of dental trauma and self-inflicted oral injuries among individuals with ASD. However, the review also identified significant methodological limitations in the included studies, including inconsistency in oral health assessment methods and potential bias. The necessity for targeted policies due to high prevalence rates and the requirement for integrated care systems in high DMFT regions were also observed. The umbrella review synthesized diverse findings, revealing variations in dental caries and periodontal disease prevalence among ASD individuals. This review underscores the need for tailored interventions and policies to address oral health disparities. It highlights the necessity of integrated care systems, methodological improvements, and longitudinal studies to comprehensively address the multifaceted oral health challenges within the ASD population.
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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 | 0.006 | 0.023 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.004 | 0.004 |
| Bibliometrics | 0.019 | 0.009 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.002 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".