Stereotactic radiotherapy as a treatment option for renal tumours in the solitary kidney: a multicenter analysis from the International Radiosurgery Oncology Consortium for Kidney (IROCK).
Bibliographic record
Abstract
AbstractPurpose:Stereotactic ablative radiotherapy (SABR) is an emerging treatment for renal cell carcinoma (RCC). Our study objective was to evaluate SABR in patients with a solitary kidney, focusing on oncological and renal function outcomes.Materials and Methods:Individual patient data from nine IROCK institutions in Germany, Australia, USA, Canada and Japan were pooled. Median follow-up was 2.6 years. Baseline characteristics and outcomes were compared between solitary and bilateral kidney cohorts. Predictors of post-SABR renal function were assessed by logistic regression modelling.Results:81 solitary kidney patients underwent SABR. Mean age was 67.3 years and 97.5% had good performance status (ECOG 0-1 or KPS ≥70%). Median tumour diameter was 3.7cm [IQR: 2.5-4.3], with 37% of tumours ≥4cm. Patients in the bilateral cohort (n=138) harbored larger tumours and were older (p<0.001) with lower baseline eGFR (p=0.024). In the solitary cohort, post-SABR eGFR decrease (mean±SD) was -5.8±10.8 mL/min (or -9%)...
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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 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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".