Heterogeneity of study endpoints in stereotactic body radiation therapy studies for bone metastases: A systematic review.
Bibliographic record
Abstract
Purpose: This systematic review evaluated variability in study endpoints among stereotactic body radiation therapy (SBRT) studies for bone metastases. Heterogeneity in endpoint definitions and reporting may hinder cross-study comparability and the establishment of consistent treatment protocols. Methods: A comprehensive search of Ovid MEDLINE, Embase, and the Cochrane Central Register of Controlled Trials identified prospective studies, including cohort studies, phase I/II trials, and randomised controlled trials (RCTs), published between 2014-01-01 and 2024-11-12. Studies were eligible if they: (1) included adult patients with bone metastases treated with SBRT, (2) were prospective, and (3) reported pre-defined clinical endpoints. Results: A total of 58 studies were included: eight cohort studies, 37 phase I/II trials, and 13 RCTs. Pain-related endpoints were the most frequently reported primary endpoints, with pain response reported in 28% (16 studies). Other primary endpoints included toxicities (22%, 13 studies), survival metrics (12%, seven studies), and local control (9%, five studies). Secondary endpoints varied, with survival-related endpoints reported in 60% (35 studies) and toxicity in 41% (24 studies). Endpoint selection differed by clinical scenario, reflecting distinct objectives such as symptom relief, local control, and progression-free survival. Variability in definitions for endpoints, particularly pain flare and vertebral compression fracture, along with inconsistent radiological response criteria, was noted. Conclusion: Considerable heterogeneity in endpoint selection, definitions, and measurement tools across SBRT reflects diverse clinical objectives. Consensus-driven standardisation of endpoints, response criteria, and follow-up schedules is essential to enhance comparability, facilitate evidence synthesis, and support integration of SBRT research findings into clinical practice.
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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 | 0.066 | 0.199 |
| Meta-epidemiology (narrow) | 0.002 | 0.002 |
| Meta-epidemiology (broad) | 0.013 | 0.014 |
| Bibliometrics | 0.016 | 0.015 |
| Science and technology studies | 0.001 | 0.002 |
| Scholarly communication | 0.005 | 0.004 |
| Open science | 0.003 | 0.003 |
| Research integrity | 0.002 | 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".