Platelet-Type von Willebrand Disease and Type 2B von Willebrand Disease: A Story of Nonidentical Twins when Two Different Genetic Abnormalities Evolve into Similar Phenotypes
Bibliographic record
Abstract
Platelet-type von Willebrand disease (PT-VWD, or pseudo-VWD) and type 2B VWD share a common bleeding phenotype with different etiologies. Both PT-VWD and type 2B VWD represent an enhanced binding between the plasma von Willebrand factor (VWF) to its platelet ligand, glycoprotein Ib alpha ( GP1BA). However, type 2B VWD results from a functionally abnormal VWF molecule, whereas PT-VWD is caused by hyperresponsive platelets due to defects in the platelet GP1BA gene. The laboratory discrimination between the two disorders can be a challenge because simple phenotypic testing will not differentially identify the disorders, and the more complex testing approaches are often poorly applied. Definitive diagnosis is critical for treatment decisions and can be most definitively achieved by identifying the gene defect at either the VWF or GP1BA loci. A systematic international molecular genetic study would be helpful to address the question of whether PT-VWD is being misdiagnosed as type 2B VWD. Such a study can be facilitated by an international online database/disease registry to enhance international awareness about this otherwise long-recognized diagnostic dilemma.
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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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.003 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.003 | 0.002 |
| Insufficient payload (model declined to judge) | 0.001 | 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".