SleepNow – A combined cognitive behavioral therapy for insomnia and physical exercise intervention in men with metastatic prostate cancer: results from a feasibility randomized controlled trial
Bibliographic record
Abstract
focused on patients living with metastatic cancer. We examined the feasibility of the SleepNow intervention combining cognitive behavioral therapy for insomnia (CBT-I) with physical exercise in men with metastatic prostate cancer (mPCa). PATIENTS/MATERIAL AND METHODS: We conducted a feasibility randomized trial in patients under treatment for castration resistant mPCa with insomnia (Insomnia Severity Index [ISI] score ≥ 8). Patients were randomized 1:1 to either SleepNow or usual care. SleepNow is a manualized 12-week program consisting of bi-weekly sessions of physical exercise and four nurse-led sessions of CBT-I. Patients in usual care received no insomnia treatment. We assessed feasibility and measured objective and patient-reported outcomes at baseline and 3-months follow-up. Changes in both groups were compared using the Wilcoxon test. RESULTS: We randomized 12 patients (5 intervention and 7 control; age range = 59-81 years, mean Gleason score = 7.75, mean time since diagnosis ≈ 7 years). Intervention patients reported high satisfaction, all attended at least three CBT-I sessions (75%) and four completed at least 20 of the 24 training sessions. The intervention group showed improvements in insomnia, sleep quality, fatigue, anxiety, depression and health-related quality-of-life but between-group differences were not statistically significant. INTERPRETATION: The SleepNow intervention is the first to combine nurse-delivered CBT-I and physical exercise and was acceptable and potentially efficacious. Our results are important for targeting sleep interventions to the growing population of patients living long term with metastatic cancer.
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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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 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".