How I treat patients who are refractory to platelet transfusions
Bibliographic record
Abstract
ABSTRACT: Patients with thrombocytopenia requiring ongoing platelet transfusion support may develop inadequate platelet count increments, referred to as platelet refractoriness (PR), which further complicates their care. The underlying etiologies of PR can be broadly divided into immune and nonimmune causes. A high index of suspicion is required to initiate testing for alloimmunization, and the leading culprit in immune PR is the development of class I HLA antibodies. The approach to diagnosis of immune PR has changed over recent years with new technologies, but questions regarding the clinical significance and interpretation of these methods have not been conclusively answered. The provision of HLA-matched platelets requires close and timely coordination between transfusion services and clinical teams; however, the true impact of their provision on clinical outcomes is not clear. This paper reviews diagnostic and management challenges, appraises the existing data available to support treatment options, and identifies research gaps.
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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 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.006 | 0.003 |
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".