Clinical Analysis of Osteosarcoma Patients Treated with High-Dose Methotrexate-Free Neoadjuvant Chemotherapy
Bibliographic record
Abstract
OBJECTIVE: High-dose methotrexate (hdmtx) is a common therapeutic agent in the treatment of osteosarcoma. However, hdmtx is highly toxic and requires complex pharmacokinetic monitoring and leucovorin rescue. Thus, alternative therapeutic strategies are necessary. Here, we analyzed the clinical efficacy of a dia regimen (cisplatin-ifosfamide-doxorubicin) to evaluate its potential as an alternative to hdmtx-based therapy. METHODS: Patients received 12 cycles of chemotherapy administered over 2 years (2 preoperative cycles and 10 postoperative cycles). Cumulative dose was the same in all cycles: cisplatin 120 mg/m(2) on day 1 of week 1, followed by ifosfamide 2.0 g/m(2) days 1-5 of week 2, and doxorubicin 20 mg/m(2) days 1-3 of week 2. RESULTS: Between January 2004 and October 2008, 39 eligible patients (median age: 16 years) were enrolled, with 36 being evaluable for the study. Of those 36 patients, 20 (55.6%) had a good histologic response to preoperative chemotherapy (>90% tumour necrosis). The estimated 5-year rates of event-free survival (efs) and overall survival were 54.8% and 61.5% respectively. CONCLUSIONS: The results of our study suggest that, in osteosarcoma patients, the dia regimen produces an efs rate and survival outcomes comparable to those attained with hdmtx-containing regimens, with fewer adverse reactions. The dia regimen is well tolerated, and we observed a high level of patient compliance. Our results demonstrate that hdmtx-free osteosarcoma treatment regimens can be effective, warranting further investigation.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| 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) | 0.000 | 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 teacher head, 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".