Nabilone for the Treatment of Paraneoplastic Night Sweats: A Report of Four Cases
Bibliographic record
Abstract
ABSTRACT Night sweats are one of many symptoms experienced by patients with advanced cancer. The prevalence of night sweats ranges from 10%-48% in cancer patients. Persistent night sweats tend to decrease quality of life through interference with sleep. A recent study has demonstrated that night sweats occur as part of a symptom pattern, and are associated with the anorexia-cachexia symptom cluster. In addition, night sweats represent one of the symptoms that displays a tendency not to improve as patients with advanced cancer approach end of life. This paper serves to report on the successful management of four patients suffering from persistent paraneoplastic night sweats using the synthetic orally administered cannabinoid nabilone. The four patients had been referred to a regional consultative palliative medicine program and identified night sweats as one of their most significant symptomatic concerns reported on their Edmonton Symptom Assessment System (ESAS) questionnaires.
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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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| 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".