The efficacy and toxicity of dexrazoxane use in children with cancer: A pupulation-based study from Maritimes, Canada
Bibliographic record
Abstract
Anthracycline induced cardiotoxicity is a well-recognized complication in pediatric oncology. The use of the cardio-protective drug dexrazoxane has gained traction despite its unclear efficacy and toxicity. A retrospective, population-based study was completed using chart and database information on children treated with anthracycline at the IWK Health Centre from 2009-2015 (n=178). The efficacy of dexrazoxane was defined as a lack of undesirable deviations in identified cardiac parameters on echocardiogram. Toxicity of dexrazoxane was defined as chemotherapy delays from any of decreased absolute neutrophil count (ANC), decreased platelets, increase in viral/bacterial episodes and febrile neutropenia (FN) episodes. Patients were stratified into groups based on the total amount of anthracycline received and whether they received dexrazoxane. Regardless of anthracycline dose, we found no significant relationships regarding cardiac function in the untreated and dexrazoxane treated groups. However, we found that patients who were treated with >250mg/m2 of anthracycline and received dexrazoxane experienced significantly more platelet delays but no cardiac benefit (p=0.007). When classified by diagnosis, we also found that dexrazoxane treated patients diagnosed with low-risk acute lymphocytic leukemia (LR-ALL) were likely to experience a delay in treatment due to both low ANC (p=0.0001) and the development of FN (p=0.02) whereas high-risk acute lymphocytic leukemia (HR-ALL) patients were likely to experience treatment delays due to thrombocytopenia (p=0.03), low ANC (p=0.0001) and FN (p=0.0001). Despite finding no significant differences regarding the efficacy of dexrazoxane as a cardio-protectant, we have shown that its use induces non-cardiac toxicities in children with cancer that contribute to treatment delays.
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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.003 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 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".