Ewing sarcoma: Favourable results with combined modality therapy and conservative use of radiotherapy
Bibliographic record
Abstract
BACKGROUND: At the Hospital for Sick Children (HSC), we have treated Ewing sarcoma (ES) with multi-agent chemotherapy, surgery and conservative use of radiotherapy for local control. Our objective was to describe the outcome and prognostic factors associated with this strategy. PROCEDURE: We performed a retrospective chart review of children diagnosed with ES at HSC from Feb 1984 to June 1999. RESULTS: Seventy-two evaluable children were identified. All received chemotherapy. Local control administered was surgery (n = 37), radiation (n = 23), both (n = 10) or neither (n = 2). The 7-year EFS was 66.4%. Recurrence occurred in 23 patients, 7 locally and 16 distantly. Better EFS was associated with male gender (78.5% vs. 52.1%; P = 0.007), localised disease (77.0% vs. 39.4%; P = 0.0004), extremity primary (88.2% vs. 52.8%; P = 0.005) and non-pelvic primary (75.7% vs. 18.2%; P < 0.0001). CONCLUSIONS: Favourable outcomes were seen for patients treated with multi-agent chemotherapy, surgery and conservative use of radiotherapy. Metastatic disease rather than local control was the major cause of failure.
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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 | 0.000 | 0.002 |
| 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".