Patient Reported Outcomes After Radiation Therapy for Bone Metastases as a Function of Age: A Secondary Analysis of the NCIC CTG SC—Twenty-Three Randomized Trial
Bibliographic record
Abstract
PURPOSE: To explore the age difference in response and patient-reported outcomes in patients with cancer having bone metastases undergoing palliative radiotherapy. METHODS: Patients completed the European Organisation for Research and Treatment of Cancer (EORTC) Quality-of-Life (QOL) Bone Metastases module (QLQ-BM22), EORTC QOL Core-15-Palliative (QLQ-C15-PAL), and Dexamethasone Symptom Questionnaire (DSQ) before a single 8-Gy radiation treatment, on days 10 and 42 after treatment. Patient demographics, performance status, analgesic consumption, BM22, C15, and DSQ were compared with multivariant analysis between patients under 75 years and 75 years and older. Multiple linear regression models were used to assess the differences between age-groups, adjusting for baseline demographics and primary disease sites. RESULTS: There were 298 patients (170 male) with 209 (70%) less than 75 years of age. Most common primary cancer sites include lung, prostate, and breast. At baseline, younger patients had better performance status, consumed more analgesic, and reported worse scores in nausea, insomnia, and functional interference, while older patients more commonly had prostate cancer. There were no significant differences in the incidence of radiation-induced pain flare; response to radiation; changes from baseline for BM22, C15-PAL; and DSQ, nor overall survival at day 42 between the 2 groups. Responders to radiation in the elderly group reported better improvement in physical and emotional domains when compared with nonresponders. CONCLUSIONS: In patients with cancer having bone metastases undergoing palliative radiotherapy, there was no significant difference in general with age in response to radiation and patient-reported outcomes. Palliative radiotherapy should be offered to elderly patients when needed.
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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 | 0.003 | 0.004 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.003 | 0.004 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.004 | 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".