Cancer treatments and their side effects are associated with aggravation of insomnia: Results of a longitudinal study
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
BACKGROUND: Insomnia affects between 30% to 60% of patients with cancer but to the authors' knowledge little is known regarding factors associated with its development. It has been postulated that adjuvant cancer treatments and their side effects could trigger sleep disturbances in this population but empirical evidence is lacking. The goal of the current study was to assess, separately in patients with breast and prostate cancer, the effect of adjuvant treatments on the evolution of insomnia symptoms and the mediating role of somatic symptoms. METHODS: As part of a population-based epidemiological study, patients with breast cancer (465 patients) and prostate cancer (263 patients) completed at baseline (perioperative period) and 2 months, 6 months, 10 months, 14 months, and 18 months later the Insomnia Severity Index (ISI) and a questionnaire assessing various somatic symptoms. RESULTS: In patients with breast cancer, radiotherapy (overall effect) and chemotherapy (at 2 months), but not hormone therapy, were associated with increased insomnia severity, whereas androgen deprivation therapy was related to increased insomnia in patients with prostate cancer. In patients with breast cancer, the effect of chemotherapy and radiotherapy on insomnia was found to be significantly mediated by a variety of somatic symptoms, whereas night sweats had a particularly marked mediating role for hormone therapy, both in patients with breast and prostate cancer. CONCLUSIONS: The findings of the current study indicate that cancer treatments and their side effects contribute to the aggravation of insomnia symptoms. Side effects of cancer treatments should be monitored more closely and managed as effectively as possible to prevent the occurrence or aggravation of insomnia.
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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 | 0.000 |
| 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 it