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Record W2142586626 · doi:10.1177/1076029614543825

Systematic Analysis of Bleeding Phenotype in PT-VWD Compared to Type 2B VWD Using an Electronic Bleeding Questionnaire

2014· article· en· W2142586626 on OpenAlexaff
Harmanpreet Kaur, Margareth C. Ozelo, Stephen Scovil, Paula James, Maha Othman

Bibliographic record

VenueClinical and Applied Thrombosis/Hemostasis · 2014
Typearticle
Languageen
FieldMedicine
TopicPlatelet Disorders and Treatments
Canadian institutionsSt. Lawrence CollegeQueen's University
FundersTrinity College Dublin
KeywordsVon Willebrand diseaseMedicinePlateletVon Willebrand factorBleeding timeInternal medicinePlatelet aggregation

Abstract

fetched live from OpenAlex

OBJECTIVE: To investigate the utility of an electronic version of the condensed molecular and clinical markers for the diagnosis and management of type 1 von Willebrand disease (VWD) bleeding questionnaire (eBQ) in assessing the bleeding phenotype in platelet-type VWD (PT-VWD) and compare it to its closely similar disorder, type 2B VWD. METHODS: Retrospective analysis of the clinical bleeding and laboratory phenotype of 13 patients with PT-VWD and 12 type 2B VWD. RESULTS: Bleeding score (BS) was significantly lower in PT-VWD as compared to type 2B. Bleeding score correlated with platelet count and von Willebrand factor:Ristocetin cofactor activity in PT-VWD but not in type 2B with a significant reduction in platelet count in type 2B VWD compared to PT-VWD. The eBQ had sensitivity of 62% in PT-VWD and 92% in type 2B VWD. CONCLUSION: Objective analysis of bleeding symptoms further the understanding of the phenotype of 2 closely similar bleeding disorders for better diagnosis and follow-up. Larger international prospective studies are warranted to evaluate the utility of the eBQ in PT-VWD and other rare bleeding disorders.

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)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.132
Threshold uncertainty score0.942

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0020.000
Bibliometrics0.0000.001
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 head0.066
GPT teacher head0.374
Teacher spread0.307 · 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 designObservational
Domainnot available
GenreEmpirical

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
Published2014
Admission routes1
Has abstractyes

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