VITT-like Monoclonal Gammopathy of Thrombotic Significance
Bibliographic record
Abstract
Vaccine-induced immune thrombocytopenia and thrombosis (VITT) is associated with antibodies that target platelet factor 4 (PF4) and are heparin-independent. VITT antibodies are implicated in acute, transient prothrombotic disorders that are triggered by adenoviral vector vaccines against coronavirus disease 2019 or by adenovirus infection. We describe chronic prothrombotic disorders featuring anticoagulant-refractory thromboses and intermittent thrombocytopenia that were associated with VITT-like antibodies in five patients (four patients with newly reported cases and the index patient). The patients had low levels of M proteins (median level, 0.14 g per deciliter); in each patient, we found that the M protein was the VITT-like antibody. The antibody clonotype profiles and binding epitopes on PF4 were different from those observed with the acute disorders occurring after vaccination or viral infection, features that reflect distinct immunopathogenesis. Treatment strategies besides anticoagulation alone are needed for the chronic disorders, referred to as VITT-like monoclonal gammopathy of thrombotic significance. (Funded by the Canadian Institutes of Health Research and others.).
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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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.000 |
| Insufficient payload (model declined to judge) | 0.004 | 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".