Evidence map›Paper›PMID 41496702›Full record

ReviewHaematologica2026

Clinical and laboratory diagnosis of von Willebrand disease.

Alberto Tosetto, Jeroen Eikenboom

Abstract readReview
In one paragraph

Review in Haematologica, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

2 authors.

Alberto TosettoHemophilia and Thrombosis Center, Hematology Department, San Bortolo Hospital, Vicenza, Italy.
Jeroen EikenboomDepartment of Internal Medicine, Division of Thrombosis and Hemostasis, Leiden University Medical Center, Leiden, the Netherlands.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

von Willebrand disease (VWD) is a hereditary bleeding disorder first described by Erik von Willebrand in 1926. The disease is characterized by frequent bruising, bleeding from minor wounds, nosebleeds, heavy menstrual bleeding, bleeding after tooth extraction, gastrointestinal bleeding, and joint bleeds. The underlying cause of VWD was identified 45 years later as a deficiency of von Willebrand factor (VWF), a high-molecular-weight protein that circulates with factor VIII in plasma. The clinical diagnosis of VWD involves the presence of bleeding symptoms, detection of at least one abnormality of VWF function in laboratory tests, and demonstration of familial inheritance. VWD presents a broad spectrum of clinical and laboratory abnormalities, making the diagnostic process complex. Integrating clinical and laboratory data into the diagnostic pathway using a Bayesian approach can help build evidence for a diagnosis. Over the years, several diagnostic assays have been developed to measure the quantitative and qualitative properties of VWF. Automated laboratory assays for measuring VWF have been implemented in recent decades, and assessment tools for clinical evaluation of bleeding severity have been developed. Laboratory diagnosis involves screening and first-level diagnostic tests to measure VWF antigen, VWF-platelet binding activity, and factor VIII coagulant activity. Second-level subtyping tests are required to characterize the phenotypic defects of the type 2 variants and classify the patients. Proper diagnosis and classification of VWD are essential in order to recognize patients who may benefit from treatment, determine the optimal treatment modality, and prevent overdiagnosis.

Indexed as

Clinical Laboratory TechniquesHemorrhagevon Willebrand DiseasesFactor VIIIHumansvon Willebrand FactorFactor VIIIvon Willebrand Factor

Identifiers

PMID41496702
PMCPMC12775743

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.