Utilization of palliative radiotherapy for bone metastases near end of life in a population-based cohort
Bibliographic record
Abstract
BACKGROUND: Palliative radiotherapy (PRT) can significantly improve quality of life for patients dying of cancer with bone metastases. However, an aggressive cancer treatment near end of life is an indicator of poor-quality care. But the optimal rate of overall palliative RT use near the end of life is still unknown. We sought to determine the patterns of palliative radiation therapy (RT) utilization in patients with bone metastases towards their end of life in a population-based, publicly funded health care system. METHODS: All consecutive patients with bone metastases treated with RT between 2007 and 2011 were identified in a provincial Canadian cancer registry database. Patients were categorized as receiving RT in the last 2 weeks, 2-4 weeks, or >4 weeks before their death. Associations between RT fractionation utilization by these categories, and patient and provider characteristics were assessed through logistic regression. RESULTS: Of the 16,898 courses 1734 (10.3) and 709 (4.2%) were prescribed to patients in the last 2-4 weeks and <2 weeks of their life, respectively. Primary lung (8%) and gastrointestinal (6.9%) cancers received palliative RT more commonly in the last 2 weeks of life (OR 3.72 [2.86-4.84] & 3.33 [2.42-4.58] respectively, p <0.001). Among the 709 patients who received RT in the last 2 weeks of life, 350 (49), 167 (24), and 127 (18%) were for spine, pelvis, and extremity metastases, respectively. RT was prescribed most frequently to spine (5%) and extremity (4%) metastases p <0.001 in the last two weeks of life, though only varied between 1% (sternum) and 5% (spine) by site of metastases. Single fraction RT was prescribed more commonly in the last 2 weeks of life (64.2%), compared to individuals who received RT 2-4 weeks (54.5), and >4 weeks (47.9%) before death (p <0.001). CONCLUSIONS: This population-based analysis found that only 4% of patients with bone metastases received radiation therapy during the last 2 weeks of their life in our population-based, publicly funded program, though it was significantly higher in patients with lung cancer and those with metastases to the spine or extremity. Appropriately, use of multiple fractions palliative RT was less common in patients closer to death.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 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".