A review of hypofractionated palliative radiotherapy
Bibliographic record
Abstract
Radiotherapy commonly is employed to address symptoms in patients with symptoms caused by cancer. For this article, the authors reviewed data supporting the use of hypofractionated palliative radiotherapy. In addition to single-fraction treatment for painful bony metastasis, the available literature suggested that courses of 2 to 14 external-beam fractions may provide equivalent relief to longer course treatment in patients with a poor prognosis who have primary cancers of the lung, rectum, bladder, prostate, head and neck, spleen, and gynecologic system. Hypofractionated treatment delivers palliation that is time efficient, cost effective, and minimally toxic. Evidence suggests that the reluctance of radiation oncologists to provide single-fraction treatment acts as a barrier to referrals from palliative care professionals. Collaboration in education, research, and patient advocacy will advance the common objectives of the 2 specialties and lead to an appropriate increase in the use of palliative hypofractionated radiotherapy.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.005 | 0.006 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.002 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.005 | 0.002 |
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".