A population-based analysis of the presentation and outcomes of pediatric patients with osteosarcoma in Canada: a report from CYP-C
Bibliographic record
Abstract
Background: Frequently occurring in adolescents, osteosarcoma is the most common primary malignant bone disease, with a reported 15% of patients who present with metastasis. With advances in imaging and improvements in surgical care, an updated analysis is warranted on the outcomes of pediatric patients with osteosarcoma. Methods: We completed a retrospective review of pediatric patients who presented with osteosarcoma between 2001 and 2017, using The Cancer in Young People in Canada (CYP-C) national database. Data on 304 patients aged younger than 15 years were analyzed. Results: The proportion of patients who presented with metastasis was 23.0%. The overall 5-year survival (OS) for patients who presented with metastasis was 37.4%. Overall survival and event-free survival (EFS) were lower in these patients than in patients with localized disease (hazard ratio [HR] 4.3, p < 0.0001 and HR 3.1, p < 0.0001). For patients who presented with metastatic disease, the OS for those undergoing an operative intervention was 44.1% compared with 17.6% for those who did not undergo resection (p < 0.0001). Conclusion: The proportion of patients who presented with metastatic osteosarcoma in our population is higher than previously reported. Overall outcomes of patients with metastatic disease have not changed. Our data reaffirm a role for surgical resection in patients with metastasis with a need to explore new treatment strategies to improve the overall prognosis of these patients.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.002 | 0.004 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 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".