Effects of Mandibular Posture on Obstructive Sleep Apnea Severity and the Temporomandibular Joint in Patients Fitted with an Oral Appliance
Bibliographic record
Abstract
STUDY OBJECTIVES: The purposes of this study were to assess the relationship between different increments of mandibular protrusion and a reduction of obstructive sleep apnea (OSA) severity and to use magnetic resonance imaging to assess temporomandibular joint (TMJ) morphology and condyle position after the insertion of an oral appliance (OA). DESIGN: Six mild to moderate OSA patients were treated with a titratable OA (Klearway) and changes in the apnea hypopnea index (AHI) secondary to the amount of mandibular advancement were evaluated. In seven patients, the morphology of the TMJ was compared before insertion and after titration of the appliance and the anterior displacement of the condyle with the titrated appliance in place was evaluated. SETTING: Federal University of São Paulo, Brazil. PATIENTS OR PARTICIPANTS: 7 males (mean age 47.4 years, SD 5.6). INTERVENTIONS: N/A. MEASUREMENTS AND RESULTS: A total of 21 polysomnographic recordings in different mandibular positions were compared. A significant reduction in the mean AHI from 12.21 to 5.64 was seen and the the AHI reduction was related to the amount of mandibular protrusion. In six out of seven patients, the translation of the condyle with the OA was equal to or less than that observed in the maximal open position. No TMJ morphologic parameters revealed significant alterations during the period of the study. CONCLUSION: Sequential polysomnographic studies facilitate OA titration. OA effects on the AHI seem to be dose-dependent on the amount of mandibular protrusion, and the OA proved over the period of one year to be innocuous for TMJ in the treatment of patients with OSA.
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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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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".