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Record W4379508060 · doi:10.1111/hae.14810

Reported prevalence of von Willebrand disease worldwide in relation to income classification

2023· review· en· W4379508060 on OpenAlexaffabout
Jeffrey S. Stonebraker, Alfonso Iorio, Michelle Lavin, Suely Meireles Rezende, Alok Srivastava, Glenn F. Pierce, Donna Coffin, Ellia Tootoonchian, Michael Makris

Bibliographic record

VenueHaemophilia · 2023
Typereview
Languageen
FieldMedicine
TopicPlatelet Disorders and Treatments
Canadian institutionsCanadian Hemophilia SocietyMcMaster UniversityImpact
Fundersnot available
KeywordsMedicineVon Willebrand diseasePrevalenceDemographyHigh income countriesLow and middle income countriesEnvironmental healthDeveloping countryPopulationVon Willebrand factorImmunology

Abstract

fetched live from OpenAlex

INTRODUCTION: The diagnosis of von Willebrand disease (VWD) is complex and challenging, especially when diagnostic resources are limited. This results in a lack of consistency in identifying and reporting the number of people with VWD and variations in the VWD prevalence worldwide. AIM: To analyze the reported prevalence of VWD worldwide in relation to income classification. METHODS: Data on the VWD prevalence from the World Federation of Hemophilia Annual Global Survey, national registries of Australia, Canada, and the United Kingdom, and the literature were analysed. The income level of each country was classified according to the World Bank. RESULTS: The mean VWD prevalence worldwide was 25.6 per million people. The VWD prevalence for high-income countries (HIC) of 60.3 per million people was significantly greater (p < .01) than upper middle (12.6), lower middle (2.5) and low (1.1) income countries. The type 3 VWD prevalence for HIC of 3.3 per million people was significantly greater (p < .01) than lower middle (1.3) and low income (0.7) countries. The reported VWD prevalence was greater among females than males. CONCLUSION: The reported VWD prevalence varied considerably across and within income classifications. The variability of type 3 VWD prevalence was less than the VWD prevalence (all types). The variability in detection and diagnosis of type 1 VWD presents a challenge in forming a consistent prevalence value across countries and income classifications.

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)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Other design · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.842
Threshold uncertainty score0.904

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
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 head0.084
GPT teacher head0.365
Teacher spread0.281 · 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 designOther design
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

Citations14
Published2023
Admission routes2
Has abstractyes

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