Absence of Secondary Malignant Neoplasms in Children With High-Risk Acute Lymphoblastic Leukemia Treated With Dexrazoxane
Bibliographic record
Abstract
PURPOSE: Dexrazoxane is a drug used to prevent anthracycline-induced cardiotoxicity. A recent report found an association between the use of dexrazoxane and the risk of developing secondary malignant neoplasms (SMNs) in children with Hodgkin's disease. We report the absence of an association of SMNs in children with acute lymphoblastic leukemia (ALL) treated on Dana-Farber Cancer Institute ALL Consortium Protocol 95-01. PATIENTS AND METHODS: Two hundred five children with high-risk (HR) ALL were randomly assigned to receive doxorubicin alone (n = 100) or doxorubicin with dexrazoxane (n = 105) during the induction and intensification phases of multiagent chemotherapy. We compared incidence of SMNs in these two groups. RESULTS: With a median follow-up of 6.2 years, no differences in the incidence of SMNs were noted between the group that received dexrazoxane and the group that did not (P = .66). One SMN (a melanoma located outside of the cranial radiation field) occurred in a patient who was randomly assigned to doxorubicin alone. No SMNs were observed in patients randomly assigned to receive dexrazoxane. CONCLUSION: Dexrazoxane was not associated with an increased risk of SMNs in children treated for HR ALL. Given the potential importance of dexrazoxane as a cardioprotectant, we recommend that dexrazoxane continue to be used and studied in doxorubicin-containing pediatric regimens.
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 | 0.001 | 0.003 |
| 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".