Quebec Platelet Disorder: Update on Pathogenesis, Diagnosis, and Treatment
Bibliographic record
Abstract
Corrected by: Erratum: Quebec Platelet Disorder: Update on Pathogenesis, Diagnosis, and Treatment Semin Thromb Hemost 2019; 45(01): 121-122 DOI: 10.1055/s-0038-1625972 ABSTRACT Quebec platelet disorder (QPD) is an autosomal dominant bleeding disorder associated with reduced platelet counts and a unique gain-of-function defect in fibrinolysis due to increased expression and storage of urokinase plasminogen activator (uPA) by megakaryocytes. QPD increases risks for bleeding and its key clinical feature is delayed-onset bleeding, following surgery, dental procedures or trauma, which responds only to treatment with fibrinolytic inhibitors. The genetic cause of the disorder is a tandem duplication mutation of the uPA gene, PLAU, which upregulates uPA expression in megakaryocytes by an unknown mechanism. The increased platelet stores of uPA trigger plasmin-mediated degradation of QPD α-granule proteins. The gain-of-function defect in fibrinolysis is thought to be central to the pathogenesis of QPD bleeding as the activation of QPD platelets leads to release of uPA from α-granules and accelerated clot lysis. The purpose of this review is to summarize current knowledge on QPD pathogenesis and the recommended approaches to QPD diagnosis and treatment. KEYWORDS Quebec platelet disorder - urokinase plasminogen activator - platelets - congenital platelet disorders - fibrinolysis - congenital thrombocytopenia
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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 | 0.001 |
| Bibliometrics | 0.004 | 0.003 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.006 | 0.002 |
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".