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Record W2979180314 · doi:10.1182/blood-2018-99-115728

Bleeding Patterns in Type I VWD in Effect of VWF Levels: An Individual Participant Data Meta-Analysis of Three Cohorts

2018· article· en· W2979180314 on OpenAlexaffabout
Alberto Tosetto, Pamela A. Christopherson, Jeroen Eikenboom, Julie Grabell, Paula James, Robert R. Montgomery, I. R. Peake, Mariana Silva, Zimmerman Program Investigators

Bibliographic record

VenueBlood · 2018
Typearticle
Languageen
FieldMedicine
TopicPlatelet Disorders and Treatments
Canadian institutionsKingston General HospitalQueen's University
Fundersnot available
KeywordsVon Willebrand diseaseMedicinePediatricsCohortVon Willebrand factorInternal medicinePlatelet

Abstract

fetched live from OpenAlex

Abstract Type I von Willebrand disease (VWD) is the most frequent bleeding disorder, with a prevalence of 10-50 cases per 10,000 persons. VWD usually shows an autosomal dominant inheritance pattern, at least in families having VWF:Ag levels below 30 IU/dL. There is considerable uncertainty whether patients having only mildly reduced VWF levels (in the range 30-50 IU/dL) should be diagnosed as having VWD or if they should be considered as a separate clinical entity, broadly referred to as "reduced VWF patients." We hypothesize that these patients may have a clinically distinct bleeding pattern, in terms of presenting symptoms at diagnosis, bleeding severity, and possibly even clinical. We pooled data from three cohorts of patients. The MCMDM-1 VWD Study is a multicenter survey on type 1 VWD that recruited 154 type 1 VWD families from nine European countries. The Kingston cohort recruited consecutive patients with type 1 VWD diagnosed in Kingston, Canada and includes patients screened because of bleeding symptoms or family history of VWD over a 10 year period. The Zimmerman Program for the Molecular and Clinical Biology of VWD is a multicenter study that enrolled VWD patients mostly from US clinical centres, primarily carrying a diagnosis of type 1 VWD (315 families) but also including type 2 and type 3 subjects. For the present study, only patients with a confirmed diagnosis of type 1 VWD were retained. From the three cohorts, demographic, laboratory and clinical data were abstracted, including severity of bleeding symptoms classified according to the MCMDM-1 study criteria. Only data from index cases and affected family members were retained for the present analysis. Bleeding symptoms receiving a score >=2 (and therefore requiring some type of medical intervention) were classified as "clinically relevant". VWF:Ag and VWF:RCo were measured centrally by the reference core lab of each of the three studies, against the WHO International Standard. For this purpose of the present study, Type 1 VWD is defined as VWF:Ag levels (or VWF:RCo for the Zimmerman Program) below 30 IU/dL; affected family members and index cases with VWF:Ag levels equal or above 30 IU/dL were classified as "low-VWF" patients. Pooled data from the three studies resulted in 1411 patients. At multivariate analysis, blood group O females with lower bleeding scores were the characteristics associated with the "low-VWF" patients; interestingly, the number of clinically relevant bleeding symptoms was associated with the phenotype independently from the total bleeding score. For all considered bleeding symptoms, VWD patients had a higher prevalence of relevant bleeding, with the notable exception of menorrhagia. Particularly in index cases, menorrhagia but also post-surgical bleeding was increased in patients having the "low-VWF" phenotype, although only for menorrhagia the difference was statistically significant (p=0.022). Unsupervised cluster analysis of symptom distribution disclosed three subgroups of patients. The first two were composed by males (first group) or females (second group), both having few or none bleeding symptoms. The third identified by unsupervised cluster analysis group was composed of highly symptomatic patients, predominantly women. In these patients, mucous ("wet") bleeding (epistaxis and menorrhagia) was common together with post-surgical or extraction bleeding. This pattern was not correlated with mean VWF:Ag level or "low-VWF" or Type 1 VWD phenotype. We conclude that "low-VWF" patients are more frequently blood group O, older females, with lower average bleeding scores and number of symptoms and possibly selected because of menorrhagia. A group of "severe bleeders" may be identified (n=270, 19%), having a similar distribution of "low VWF" and "VWD" phenotypes. Disclosures Tosetto: Stago, Novo-Nordisk, BMS: Speakers Bureau; Werfen: Other: Member of Advisory Board, Speakers Bureau. Eikenboom:CSL: Research Funding. James:CSL Behring: Research Funding; Shire: Research Funding; Bayer: Research Funding. Montgomery:BCW: Patents & Royalties: GPIbM assay patent to the BloodCenter of Wisconsin.

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)0.021
metaresearch head score (Gemma)0.025
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Meta-analysis · Consensus signal: Meta-analysis
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.021
Threshold uncertainty score0.112

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0210.025
Meta-epidemiology (narrow)0.0030.002
Meta-epidemiology (broad)0.0110.044
Bibliometrics0.0020.004
Science and technology studies0.0010.001
Scholarly communication0.0030.002
Open science0.0030.002
Research integrity0.0030.003
Insufficient payload (model declined to judge)0.0030.000

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 head0.276
GPT teacher head0.384
Teacher spread0.108 · 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 designMeta-analysis
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".

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Citations0
Published2018
Admission routes2
Has abstractyes

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