The Need for a Greater Focus on Obesity and Its Treatment in Sleep Medicine
Bibliographic record
Abstract
Several years ago I cared for a 350+ pound male in his 30s who had severe obstructive sleep apnea (OSA), nocturnal hypoxemia, and cor pulmonale. Although this clinical picture is not unusual in our practice of Sleep Medicine, this patient was memorable because during clinic visits we had several conversations about his habitual, uncontrollable excessive fat and sugar laden food consumption, his continued weight gain and related physical limitations, and his embarrassment about his inability to lace his shoes due to the severe brawny edema present in his feet and lower legs. Despite appropriate levels of ventilatory support and oxygen therapy, likely due to his obesity hypoventilation and related mechanisms eloquently reviewed by Vgontzas,1 as well as questionable adherence to the prescribed nocturnal therapy, this young gentleman died a few years later, ironically and sadly on Thanksgiving Day. Although there were many contributing factors to his death, because of this patient's course, I became vividly aware of the readily apparent, but difficult-to-deal-with prominent underlying mechanism of his fatal disease—obesity.
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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 | 0.017 | 0.055 |
| Meta-epidemiology (narrow) | 0.005 | 0.002 |
| Meta-epidemiology (broad) | 0.007 | 0.006 |
| Bibliometrics | 0.007 | 0.003 |
| Science and technology studies | 0.006 | 0.005 |
| Scholarly communication | 0.012 | 0.009 |
| Open science | 0.005 | 0.004 |
| Research integrity | 0.039 | 0.046 |
| Insufficient payload (model declined to judge) | 0.013 | 0.009 |
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".