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Record W1967239210 · doi:10.1002/ajh.23142

von Willebrand disease: Clinical and laboratory lessons learned from the large von Willebrand disease studies

2012· review· en· W1967239210 on OpenAlexafffund
Paula D. James, David Lillicrap

Bibliographic record

VenueAmerican Journal of Hematology · 2012
Typereview
Languageen
FieldMedicine
TopicPlatelet Disorders and Treatments
Canadian institutionsQueen's University
FundersNational Heart, Lung, and Blood InstituteCanadian Institutes of Health ResearchNational Institutes of HealthCanadian Hemophilia SocietyHeart and Stroke Foundation of Canada
KeywordsVon Willebrand diseaseVon Willebrand factorDesmopressinMedicineImmunologyDiseaseGenetic testingMucocutaneous zonePathologyInternal medicine

Abstract

fetched live from OpenAlex

During the past 25 years, our knowledge concerning the pathogenesis, diagnostic strategies, and treatment of von Willebrand disease (VWD) has increased significantly. Following the immunological differentiation of factor VIII (FVIII) and von Willebrand factor (VWF) in the 1970s and the cloning of the FVIII and VWF genes in the mid-1980s, substantial progress has been made in our understanding of this, the most common inherited bleeding disorder. We now recognize that VWD represents a range of genetic diseases all with the clinical endpoint of increased mucocutaneous bleeding. The molecular pathology of Type 2 and 3 VWD is now comprehensively documented and involves rare sequence variants at the VWF locus. In contrast, the genetic causation of Type 1 disease remains incompletely defined and in many cases appears to involve genetic determinants in addition to or instead of VWF. The diagnostic triad of a personal history of excessive mucocutaneous bleeding, laboratory tests for VWF that are consistent with VWD, and a family history of the condition remain the keystone to VWD identification. In the laboratory, measurement of VWF antigen and function continue to be the most important diagnostic studies, and while our understanding of the molecular genetic pathology of VWD has advanced considerably in the past decade, genetic testing as a component of diagnosis is limited to certain distinct subtypes of the disorder. Treatment of VWD has been relatively unchanged for the past decade and continues to involve either stimulation of the release of intrinsic VWF with desmopressin or the infusion of VWF concentrates.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.962
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0050.001
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.098
GPT teacher head0.427
Teacher spread0.329 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

Study designNot applicable
Domainnot available
GenreReview

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".

Quick stats

Citations48
Published2012
Admission routes2
Has abstractyes

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