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Record W2029795949 · doi:10.1055/s-0028-1103361

The Role of Molecular Genetics in Diagnosing von Willebrand Disease

2008· review· en· W2029795949 on OpenAlexafffund
Paula James, David Lillicrap

Bibliographic record

VenueSeminars in Thrombosis and Hemostasis · 2008
Typereview
Languageen
FieldMedicine
TopicPlatelet Disorders and Treatments
Canadian institutionsQueen's University
FundersCanadian Hemophilia Society
KeywordsVon Willebrand diseaseVon Willebrand factorGenetic testingDiseaseHemostasisMolecular geneticsDiagnostic testMedicineGeneticsBiologyBioinformaticsGeneImmunologyPathologyInternal medicinePediatricsPlatelet

Abstract

fetched live from OpenAlex

von Willebrand disease (VWD) is the most common inherited bleeding disorder in humans, but its diagnosis, using conventional clinical criteria and phenotypic hemostasis test results, can be problematic. The von Willebrand factor gene was cloned in the mid-1980s, and since that time, a significant amount of information has been gathered with respect to the molecular pathology responsible for this trait. This accumulated information, along with advances in genetic technology, has now made the integration of molecular genetic testing for VWD a feasible option in some instances. In this review, we have summarized the current state of knowledge concerning the genetic causation of the various forms of VWD. We have also provided guidelines as to how genetic testing can be used to clarify diagnostic uncertainty that might remain after a clinical evaluation and routine coagulation testing has been completed.

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 machine prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.002
metaresearch head score (Gemma)0.002
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.003
Threshold uncertainty score0.008

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.002
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0020.000
Bibliometrics0.0030.002
Science and technology studies0.0000.001
Scholarly communication0.0010.002
Open science0.0010.001
Research integrity0.0020.002
Insufficient payload (model declined to judge)0.0010.002

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.

Opus teacher head0.028
GPT teacher head0.329
Teacher spread0.301 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
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

Citations21
Published2008
Admission routes2
Has abstractyes

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