Bibliographic record
Abstract
Relevance. Cardiotoxicity of antitumor therapy in children represents the important problem in pediatric oncology. In recent decades, due to the introduction of new treatment methods, there has been a significant increase in the survival rate of children with oncologic diseases, but cardiovascular complications developing during antitumor treatment become a frequent problem and have a serious impact on the quality of life of patients, as well as may increase the risks of lethal outcomes. Objective. To review the existing data on cardiotoxicity resulting from the use of antitumor drugs in children, with emphasis on the mechanisms of its development, clinical manifestations, diagnostic methods, approaches to treatment and prevention. Materials and Methods. When writing the literature review, data were analyzed in databases PubMed, Scopus, eLIBRARY devoted to the problem of cardiotoxicity of antitumor therapy in children for the period 2013–2024. Conclusion. Cardiotoxicity remains an important and underestimated problem in pediatric oncology. Objective assessment of cardiovascular risk before, during and after chemotherapy, timely diagnosis of complications and implementation of cardioprotection methods can significantly improve the quality and duration of life of children with malignant diseases. Further research is needed to develop standardized protocols for screening and prevention of cardiotoxicity in these children.
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 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 | 0.001 | 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".