Hemorrhagic Complications in Pediatric Hematologic Malignancies
Bibliographic record
Abstract
Hematologic malignancies account for almost 40% of all cancers in children. Hemorrhage is the most common cause of early death in children with leukemia. Furthermore, major bleeding episodes lead to shorter survival and increased resource use. Potential risk factors for bleeding include hyperleukocytosis, immunophenotype of leukemia (especially acute promyelocytic leukemia), thrombocytopenia, and associated infections. Successful management of a bleeding episode is dependent on prompt identification of a child at high risk for bleeding, and should be directed at the replacement of blood products as well as to the aggressive therapy for underlying risk factors. Although in recent years there is a favorable decline in the hemorrhage-related mortality, the overall prevalence and the extent of morbidity posed by this potentially fatal complication, including disease outcome in children with hematologic malignancy, is largely unknown. In addition, there are no evidence-based guidelines for prophylactic blood or blood product transfusions. Prospective studies are required to define the epidemiology and risk factors predisposing children with hematologic malignancy to bleeding and to develop management guidelines.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 0.000 |
| Bibliometrics | 0.003 | 0.004 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 0.001 |
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".