Maxillomandibular Advancement for Obstructive Sleep Apnea in Patients With Obesity: A Meta‐Analysis
Bibliographic record
Abstract
OBJECTIVE: ) treated with maxillomandibular advancement (MMA). DATA SOURCES: Scopus, PubMed, CINAHL, and The COCHRANE Library. REVIEW METHODS: A search was performed from inception until April 3, 2024, in each database. RESULTS: A total of 14 studies (143 subjects) were included. The mean age was 44.3 years (range: 17-69), 80.2% males (95% CI: 72.5-86.5), mean BMI of 35.3 (95% CI: 33.1-37.5), and mean duration to follow-up post-MMA was 13.7 months (95% CI: 10.1-17.3). All objective outcomes improved significantly; overall, apnea-hypopnea index (AHI) decreased by -57.3 ([95% CI: -71.5 to -43.2], p < 0.0001) lowest oxygen saturation (LSAT) increased by 14.1% ([95% CI: 9.9 to 18.3], p < 0.0001), and Epworth Sleepiness Scale (ESS) decreased by -9.4 ([95% CI: -13.5 to -5.2], p < 0.0001). Surgical cure was 39.2% (95% CI: 20.3-60.0), and surgical success was 85.6% (95% CI: 77.8-91.5). Comparing percent reduction in class 3 obesity (-92.9%) as compared to class 1 (-85.5%) and class 2 (-83.6%) exhibited a significant difference (1 vs 3 p = 0.0012, 2 vs 3 p = 0.015). CONCLUSIONS: Our findings suggest that MMA significantly improves subjective and objective outcomes in OSA amongst patients with obesity with results comparable to the overall population. Success rates remained above 80% in studies with the highest mean BMI. In addition, patients with class 3 obesity yielded a significantly increased benefit based on percent reduction in AHI compared with class 1 and 2. LEVEL OF EVIDENCE: 1 Laryngoscope, 135:507-516, 2025.
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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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.005 | 0.002 |
| Bibliometrics | 0.001 | 0.003 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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".