Very high-dose methotrexate (33.6 g/m<sup>2</sup>) as central nervous system preventive therapy for childhood acute lymphoblastic leukemia: results of National Cancer Institute/Children's Cancer Group trials CCG-191P, CCG-134P and CCG-144P
Bibliographic record
Abstract
Between 1977 and 1991, the Children's Cancer Group and the National Cancer Institute conducted three trials of very high-dose methotrexate (33.6 g/m2; VHD-MTX) in place of cranial radiation (CRT) as central nervous system (CNS) preventive therapy, and assessed efficacy, acute toxicity and long-term neurocognitive outcome. CCG-191P compared VHD-MTX to CRT plus intrathecal methotrexate (IT-MTX) in 181 patients and demonstrated equivalent survival. However, patients treated with CRT had poorer performance on neurocognitive testing over time. CCG-134P evaluated the addition of intensified systemic and intrathecal therapy to VHD-MTX in 128 patients with high-risk acute lymphoblastic leukemia (ALL) and demonstrated reduced CNS relapse compared to the CCG-191P trial, but equivalent survival. CCG-144P compared VHD-MTX to IT-MTX alone in 175 patients with average-risk ALL and demonstrated equivalent survival. VHD-MTX was associated with significant toxicities, particularly neutropenia, transient hepatic dysfunction and sepsis. VHD-MTX achieved similar survival to other CNS-directed therapies without the long-term impact on intelligence, but with substantial acute toxicities.
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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 | 0.002 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| 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 | 0.001 |
| 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".