Hypofractionated radiotherapy for complicated bone metastases in patients with poor performance status: a phase II international trial
Bibliographic record
Abstract
PURPOSE: To evaluate the efficacy and safety of hypofractionated radiotherapy (16 Gy in 2 fractions, 1 week apart) in patients with complicated bone metastases and poor performance status. METHODS: A prospective single-arm phase II clinical trial was conducted from July 2014 to May 2016. The primary endpoint was pain response as defined in the International Consensus on Palliative Radiotherapy Endpoints. Secondary endpoints included quality of life as measured by quality of life questionnaire (QLQ) PAL-15 and QLQ-BM22 European Organisation for Research and Treatment of Cancer guidelines, pain flare, adverse events, re-irradiation, and skeletal complications. RESULTS: Fifty patients were enrolled. There were 23 men with a median age of 58 years (range 26-86). Of the 50 patients, 38 had an extraosseous soft tissue component, 18 needed postsurgical radiation, 3 had neuropathic pain, and 3 had an impending fracture in a weight-bearing bone. At 2 months, 33 patients were alive (66%). Four (12.5%) had a complete response and 12 (37.5%) had a partial response. A statistically significant improvement was seen in the functional interference (p = 0.01) and psychosocial aspects (p = 0.03) of the BM22. No patient had spinal cord compression. One patient required surgery for pathologic fracture, and another re-irradiation. CONCLUSIONS: Hypofractionated radiotherapy (16 Gy in 2 fractions of 8 Gy 1 week apart) achieved satisfactory pain relief and safety results in patients with complicated bone metastases and poor performance status.
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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 | 0.002 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.003 | 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".