Treatment results for patients with localized, completely resected (Group I) alveolar rhabdomyosarcoma on Intergroup Rhabdomyosarcoma Study Group (IRSG) protocols III and IV, 1984–1997: A report from the Children's Oncology Group
Bibliographic record
Abstract
PURPOSE: To assess local control, event-free survival (EFS), and overall survival (OS) rates in 71 patients with localized, completely resected (Group I) alveolar rhabdomyosarcoma (ALV RMS) and their relation to radiation therapy (RT) on IRSG Protocols III and IV, 1984-1997. METHODS: Chart review and standard statistical procedures. PATIENTS AND TUMORS: Patients were 1-18 years at diagnosis (median, 6 years). Primary tumor sites were extremity/trunk (N = 54), head/neck (N = 9), genitourinary tract (N = 7), and perineum (N = 1). Thirty patients received VA +/- C with RT; 41 received VA +/- C alone. RT was assigned, not randomized. RESULTS: Fifty-four patients had Stage 1 (favorable site, any size) or Stage 2 (unfavorable site, < or = 5 cm) tumors. Eight-year EFS was 90%, with 100% local control for 17 patients given RT. Eight-year EFS was 88%, with 92% local control for 37 patients without RT; P = 0.52 for EFS comparisons, 0.3 for local control comparisons. In 17 Stage 3 patients (unfavorable site, tumors >5 cm, N0), 8-year EFS was 84% with 100% local control in 13 patients given RT; 8-year EFS was only 25% and local control 50% in 4 patients without RT. Local recurrence was the most common site of first failure in non-irradiated patients. CONCLUSION: Patients with Stage 1-2 ALV RMS had slightly but statistically insignificantly improved local control, EFS, and OS rates when local RT was given. The need for local RT in Stage 1-2 patients deserves evaluation in a randomized study. Local control, EFS, and OS rates were significantly improved in Stage 3 patients receiving local RT.
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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) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 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) | 0.001 | 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".