Presentation and Long-term Outcome of High-grade Osteosarcoma
Bibliographic record
Abstract
PURPOSE: To evaluate clinicopathologic characteristics, prognostic factors, and treatment outcome of pediatric/adolescent high-grade osteosarcoma patients. METHODS/PATIENTS: Retrospective evaluation of patients 21 years of age or younger with newly diagnosed high-grade osteosarcoma treated in a single institution. Effects of variables on event-free survival and overall survival (OS) were determined by using Kaplan-Meier survival analysis. Variables found to be significant were evaluated with multivariable Cox regression analysis. RESULTS: Seventy-seven patients diagnosed between January 1985 and December 2011 were included. Median follow-up time was 11.0 years (range, 1.6 to 26.4 y). Event-free survival at 5 and 10 years was 38%±11% and 38%±11%, respectively. OS at 5 and 10 years was 51%±12% and 45%±12%, respectively. Metastatic disease, prolonged time interval to resumption of chemotherapy, lower tumor necrosis rate, and lack of achievement of complete response at the end of first-line chemotherapy treatment were associated with inferior OS probabilities in univariate analysis. Upon multivariate analysis, only achievement of complete response at the end of first-line chemotherapy and tumor necrosis rate retained independent prognostic significance. CONCLUSIONS: Prognostic factors and long-term survival are similar to those previously described. Reduction of global time interval to resumption of chemotherapy as well as a more specific and validated definition of pulmonary metastases at diagnosis are needed.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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".