Alloimmunization in Congenital Deficiencies of Platelet Surface Glycoproteins: Focus on Glanzmann's Thrombasthenia and Bernard–Soulier's Syndrome
Bibliographic record
Abstract
Glanzmann's thrombasthenia (GT) and Bernard-Soulier's syndrome (BSS) are well-understood congenital bleeding disorders, showing defect/deficiency of platelet glycoprotein (GP) IIb/IIIa (integrin αIIbβ3) and GPIb-IX-V complexes respectively, with relevant clinical, laboratory, biochemical, and genetic features. Following platelet transfusion, affected patients may develop antiplatelet antibodies (to human leukocyte antigen [HLA], and/or αIIbβ3 in GT or GPIb-IX in BSS), which may render future platelet transfusion ineffective. Anti-αIIbβ3 and anti-GPIb-IX may also cross the placenta during pregnancy to cause thrombocytopenia and bleeding in the fetus/neonate. This review will focus particularly on the better studied GT to illustrate the natural history and complications of platelet alloimmunization. BSS will be more briefly discussed. Platelet transfusion, if unavoidable, should be given judiciously with good indications. Patients following platelet transfusion, and women during and after pregnancy, should be monitored for the development of platelet antibodies. There is now a collection of data suggesting the safety and effectiveness of recombinant activated factor VII in the management of affected patients with platelet antibodies.
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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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 0.001 |
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".