A study of rituximab and ifosfamide, carboplatin, and etoposide chemotherapy in children with recurrent/refractory B‐cell (CD20+) non‐Hodgkin lymphoma and mature B‐cell acute lymphoblastic leukemia: A report from the Children's Oncology Group
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Bibliographic record
Abstract
BACKGROUND: To estimate the response rate and therapy related toxicities of the anti-CD20 monoclonal antibody rituximab when combined with chemotherapy including ifosfamide, carboplatin, and etoposide (ICE) in patients with relapsed and refractory B-cell non-Hodgkin lymphoma and mature B-cell acute lymphoblastic leukemia (B-ALL). METHODS: Patients received rituximab and ICE for 1-3 cycles, depending upon response. Rituximab (375 mg/m(2)) was given on day 1 and 3 of each cycle (day 1 only for cycle 3), with ifosfamide (3,000 mg/m(2)) and etoposide (100 mg/m(2)) given on days 3, 4, and 5 and carboplatin (635 mg/m(2)) given on day 3 only. RESULTS: Twenty-one patients were enrolled, of whom 20 were eligible and evaluable. Although hematologic toxicities were common, only one patient was removed from study due to prolonged myelosuppression. Toxicities related to infusions of rituximab were frequent but manageable. Of the six eligible patients with diffuse large B-cell lymphoma, three achieved complete remission (CR), one had stable disease (SD), and two had progressive disease (PD). Of the 14 eligible patients with Burkitt lymphoma and B-ALL, there were four complete responses (CR), five partial responses (PR), one SD, and four with PD. Thus, the CR/PR rate for the entire group was 12/20 (60%). Following completion of protocol therapy six patients were able to proceed to consolidation with high-dose therapy and stem cell rescue. CONCLUSIONS: The combination of rituximab and ICE chemotherapy was associated with an encouraging objective response (OR) rate and an acceptable toxicity profile.
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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) | 0.001 | 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 | 0.001 |
| 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 it