Investigation of outcomes of surgical treatment for patients with obstructive sleep apnea hypopnea syndrome
Bibliographic record
Abstract
OBJECTIVE To investigate the relationship of polysomnography(PSG)indexes and daytime sleepiness,OSAHS specific quality of life before surgery and to study the subjective and objective evaluation of the outcome after surgical treatment for patients with obstructive sleep apnea hypopnea syndrome(OSAHS).METHODS A single or a combined surgical treatment was performed on 41 OSAHS patients based on obstructive sites.The data of PSG,Epworth sleepiness scale(ESS) and OSAHS specific quality of life-Quebec sleep questionnaire(QSQ) before surgery and 6 months after surgery were recorded.Correlations between PSG indexes and subjective measures before surgery and correlations between changes in PSG indexes and subjective measures after surgery were examined.The outcome of the surgery was evaluated with PSG indexes,ESS and QSQ.RESULTS Correlations between PSG indexes and subjective measures before surgery ranged from-0.442 to 0.413,and 6 associations had statistically significance(P0.05).Correlations between changes in PSG indexes and subjective measures ranged from-0.478 to 0.442,and 11 associations had statistically significance(P0.05).Both PSG indexes and quality of life improved significantly after surgery(P0.001).CONCLUSION PSG indexes are not consistently associated with daytime sleepiness and OSAHS-related quality of life.Clinical outcomes should be evaluated with physiological and subjective measures.Surgical treatment can greatly reduce PSG indexes,improve the quality of life and it is proved to be an effective therapy.
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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 | 0.001 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 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) | 0.001 | 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".