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Record W2608738011 · doi:10.1111/ijlh.12653

Controversies in the diagnosis of Type 1 von Willebrand disease

2017· review· en· W2608738011 on OpenAlexaff
Mackenzie Bowman, Paula James

Bibliographic record

VenueInternational Journal of Laboratory Hematology · 2017
Typereview
Languageen
FieldMedicine
TopicPlatelet Disorders and Treatments
Canadian institutionsQueen's University
FundersNational Institutes of Health
KeywordsVon Willebrand diseaseVon Willebrand factorMedicineDiseaseFamily historyMucocutaneous zoneNatural historyPopulationPediatricsImmunologyInternal medicine

Abstract

fetched live from OpenAlex

von Willebrand disease (VWD) is the most common bleeding disorder. Type 1 VWD represents the majority of cases and results from a partial quantitative deficiency of von Willebrand factor (VWF). The diagnosis of Type 1 VWD presents many challenges, despite there being three established diagnostic criteria: a personal history of mucocutaneous bleeding, a family history and low VWF levels. These criteria do not always coexist, and there is great overlap of clinical phenotypes and laboratory parameters between healthy individuals and those with VWD. Mild bleeding symptoms can have any number of causes and bleeding is commonly reported in the general population. VWF levels do not always correlate with bleeding symptoms and can be variable between affected family members. Additionally, VWF levels vary widely as a result of both genetic and non-genetic influences. Perhaps the greatest current controversy in the diagnosis of Type 1 VWD is that there is no consensus laboratory cut-off for the diagnosis, raising concern about both over- and under-diagnosis. Ongoing studies are addressing these issues by clarifying the underlying pathogenesis of the disease, as well as the natural history and the risk of future bleeding in those with the diagnosis.

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)0.000
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation 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 score0.938
Threshold uncertainty score0.391

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
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 head0.054
GPT teacher head0.397
Teacher spread0.343 · 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.

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

Citations24
Published2017
Admission routes1
Has abstractyes

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