Continuous positive airway pressure and mandibular advancement splints: the CHOICE multicentre, open-label randomised clinical trial
Bibliographic record
Abstract
Background Adherence to continuous positive airway pressure (CPAP) for obstructive sleep apnoea (OSA) continues to be low with high termination rates. Alternative therapies to CPAP are needed. Our objective was to compare objective adherence to CPAP and mandibular advancement splints (MAS) and to evaluate their effectiveness, and additionally to identify treatment usage patterns and the clinical effectiveness of having both therapies. Methods This multicentre, double-randomised, three-phase trial (titration/crossover/observation) was conducted at three Canadian universities. Eligible participants were treatment-naïve with mild-to-severe OSA. The primary outcome was objectively measured adherence (hours per night) during the crossover phase. Secondary outcomes included efficacy during the crossover phase; adherence during the observational phase; and patient-centred outcomes, blood pressure and side-effects during the crossover and observational phases. Duration of the crossover and observational phase was 2.5 and 6 months, respectively. Results 81 participants were enrolled in the first randomisation. 79 entered the adaptation/titration phase (mean±sdage 52.3±10.8 years; 58 males), 73 entered the crossover phase (included in the intention-to-treat analysis) and 64 completed the observational phase. Mean objective adherence over 1 month: MAS showed higher adherence than CPAP, 6.0versus5.3 h·night−1(difference 0.7 (95% CI 0.3–1.2) h·night−1; p<0.001). Mean CPAP−MAS difference in efficacy: 10.4 (95% CI 7.8–13.0) events·h−1; p<0.001. During the observational phase 55% (35 out of 64) of participants chose to alternate therapies. All treatments led to substantial improvement in patient-centred outcomes. Conclusions Despite the higher efficacy of CPAP and higher adherence to MAS, both demonstrate comparable clinical effectiveness on patient-centred outcomes. Having both CPAP and MAS can improve long-term management of 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 | 0.006 | 0.007 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.006 | 0.002 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.002 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.004 | 0.002 |
| Insufficient payload (model declined to judge) | 0.010 | 0.001 |
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".