Understanding the incidence, duration, and severity of symptoms through daily symptom monitoring among frail and non-frail older patients receiving metastatic prostate cancer treatments
Bibliographic record
Abstract
INTRODUCTION: Older adults with metastatic prostate cancer (mPC) experience high symptom burden associated with treatment. Frailty may exacerbate treatment toxicity. The aim of this study was to explore short-term treatment toxicity in patients with metastatic prostate cancer. MATERIALS AND METHODS: Older adults with metastatic prostate cancer starting chemotherapy, androgen-receptor-axis targeted therapies, or radium-223 participated in a prospective, multicentre, observational study. Participants self-reported symptoms daily using the Edmonton Symptom Assessment System for one treatment cycle via internet or telephone. The most common moderate-to-severe symptoms (score≥4), their duration, and the proportion of participants who experienced improvements in symptom severity (score<4) after reporting moderate-to-severe symptoms at baseline were determined using descriptive statistics. Once-weekly symptom questionnaires were administered and analyzed using linear mixed effect models. Symptom incidence, duration, and frailty associations were assessed using t-tests and chi-square tests. RESULTS: Ninety participants completed the study (mean age=77 years [standard deviation=6.1], 42% frail [Vulnerable Elders Survey≥3]). The most common moderate-to-severe symptoms across cohorts were fatigue (46.8%), insomnia (42.9%), poor wellbeing (41.2%), pain (37.5%), and decreased appetite (37.1%). Poor wellbeing had a higher incidence in frail participants (62.5% in frail vs. 31.4% in non-frail, p=0.039). Symptom duration varied across cohorts and between frail and non-frail participants. Among participants who reported moderate-to-severe symptoms at baseline, no more than 15% improved in any symptom. There were statistically significant improvements in weekly symptoms for fatigue, decreased appetite, and insomnia in the chemotherapy cohort only. DISCUSSION: Limitations include a short follow-up duration, lack of a control group, and few radium-223 participants. Regular symptom monitoring can help clinicians understand temporal patterns and durations of symptoms and inform supportive care approaches.
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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 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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 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".