0487 WHAT SYMPTOMS MOTIVATE FAMILY MEDICINE PATIENTS TO PURSUE SLEEP APNEA SCREENING?
Bibliographic record
Abstract
Obstructive sleep apnea (OSA) is difficult to identify, and studies suggest that patients are under-referred for screening from primary care. Here we look at what happens when consecutive family medicine patients are offered sleep apnea assessment: What symptoms seem to guide patients to pursue assessment? How many unrecognized cases can we find? 295 adults over age 40 (174 women, 121 men) were recruited from two hospital family medicine clinics. None were previously assessed for sleep apnea. All completed questionnaires (Sleep Symptom Checklist (SSC), Sleep Questionnaire). Metabolic syndrome health data were collected from medical charts. All were offered an overnight polysomnography (PSG) study in a sleep laboratory. 171 (58%) completed the PSG study. Non-completers cited lack of interest (40%) and lack of time or desire to sleep away from home (18%). Completers and Non-Completers did not differ in mean age or gender ratio. Completers had a very high rate of diagnosed OSA: 80%. On self-report, Completers reported greater severity of daytime symptoms (e.g., non-refreshed in the morning, difficulty with concentration) than Non-completers. Metabolic syndrome disease was present in both groups: 59% of Non-completers had at least one of hypertension, hyperlipidemia, diabetes, or obesity and 46% of Completers. The difference was not significant. No significant differences were found between Completers and Non-Completers on severity of insomnia, sleep disorder, or psychological symptoms. Family medicine patients over age 40 who were willing to complete an overnight PSG study differed in self-reported symptom severity from Non-completers primarily in daytime symptoms. Metabolic syndrome, which is strongly associated with OSA, was at least as frequent in the Non-completers as in Completers. Taken together, these data suggest that (1) Completers may be motivated by their negative daytime experience to pursue sleep testing and that (2) an important percentage of Non-completers likely have OSA. CIHR
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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 | 0.007 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.007 | 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".