Dentoskeletal changes of long‐term oral appliance treatment in patients with obstructive sleep apnea: A systematic review and meta‐analysis
Bibliographic record
Abstract
PURPOSE: This systematic review and meta-analysis aimed to evaluate the dental and skeletal effects of the long-term oral appliance (OA) treatment in patients with obstructive sleep apnea (OSA) and provide insights for clinicians in treatment planning and decision-making for OSA patients undergoing OA treatment. MATERIALS AND METHODS: A comprehensive literature search was conducted in major databases up to April 2024. Studies were included if they assessed long-term OA treatment (≥6 months) in adults with OSA using any type of mandibular advancement device (MADs) or tongue retaining device (TRD). Dental and skeletal changes, measured by dental cast and cephalometric analysis, were the primary outcomes. RESULTS: A total of 42 studies were included in the systematic review, with 23 included in the meta-analysis. Long-term OA treatment was associated with a significant decrease in overbite (0.87 mm, 95% CI: 0.69-1.05) and overjet (0.86 mm, 95% CI: 0.69-1.03). Subgroup analyses showed the decrease of overbite and overjet progressively changed over the years intervals. There was a significant retroclination of the upper incisors (U1-SN, 2.58°, 95% CI: 1.07-4.08) and proclination of the lower incisors (L1-MP, -2.67° (95% CI: -3.78-1.56). Skeletal changes were not significant. CONCLUSION: Overbite and overjet gradually decreased in the long-term OA treatment, which might predominantly result from the retroclination of the upper incisors and the proclination of the lower incisors. The skeletal patterns in the anteroposterior and vertical direction might remain relatively stable over time. There was a tendency for the clockwise rotation of the mandible.
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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 | 0.007 | 0.017 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.013 | 0.031 |
| Bibliometrics | 0.005 | 0.006 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.003 | 0.001 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.002 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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".