Multilevel Palate and Tongue Base Surgical Treatment of Obstructive Sleep Apnea: A Systematic Review and Meta‐analysis
Bibliographic record
Abstract
OBJECTIVE: To evaluate multilevel palate and tongue base surgery as a method of treatment of obstructive sleep apnea by comparing the pre- and postoperative apnea-hypopnea index. METHODS: We conducted a systematic review. MEDLINE and Embase databases were searched in accordance with Preferred Reporting Items for Systematic Reviews and Meta-Analyses guidelines for conducting systematic reviews. Two authors screened all articles and performed methodological quality assessment. Relevant articles where reviewed in detail. Standard inclusion criteria were applied for article selection. Relevant data were extracted and summarized, a difference of means random-effects model was performed. Our primary outcome measure was change in apnea-hypopnea index pre-/postsurgical treatment. RESULTS: Of 1,172 studies identified from January 2006 to March 2017, 46 studies met inclusion criteria and were included in the systematic review. This included 11 surgical subgroups and 1,806 patients. Methodological quality and risk of bias assessments were completed. There was strong male predominance 86.8 (standard deviation [SD] = 10.3%), and the average age was 46.8 (SD = 4.0) years. All studies included overweight to obese patients (average body mass index = 29.1 [SD = 3.5]). The average preoperative apnea-hypopnea index was 39.0 (SD = 15.4), and the average postoperative apnea-hypopnea index decreased to 18.3 (SD = 7.5). Meta-analysis data yielded a decrease in apnea-hypopnea index of -23.67 with a 95% confidence interval of -27.27 to -20.06. CONCLUSIONS: Non-maxillomandibular advancement, multilevel surgical procedures for obstructive sleep apnea demonstrate significant improvements in reduction of apnea-hypopnea index following surgery in addition to improvement in many other sleep-specific outcomes. Future research should include larger, higher-level studies that compare surgical treatments and identify factors associated with outcomes. LEVEL OF EVIDENCE: NA Laryngoscope, 129:1712-1721, 2019.
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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) | 0.013 | 0.002 |
| Bibliometrics | 0.000 | 0.001 |
| 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) | 0.000 | 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".