Platelet transfusion practice and platelet refractoriness for a cohort of pediatric oncology patients: A single‐center study
Bibliographic record
Abstract
BACKGROUND: Platelet transfusions are an essential aspect of supportive care for pediatric oncology patients. Data regarding the frequency of transfusions, pretransfusion thresholds, posttransfusion increments, and rate of platelet transfusion refractoriness (PTR) are lacking. STUDY OBJECTIVES: (a) describe platelet transfusion practice for children with malignancy; (b) determine the normal platelet increment following platelet transfusion; and (c) assess rate of PTR. METHODS: Inpatient pediatric oncology patients <18 years old and treated between 2009 and 2013 were identified. Data collected retrospectively included patient demographics, clinical information, laboratory values, and transfusion details. RESULTS: /L). The rate of PTR (immune and/or nonimmune) was low (8%; 11/144). CONCLUSIONS: Practical information to parents and clinicians of newly diagnosed children regarding the likelihood and frequency of platelet transfusions was determined. The rate of PTR was low, supporting the hypothesis that children receiving leukoreduced products are at a low risk of PTR.
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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 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".