Evidence map›Paper›PMID 35431650›Full record

ArticleJournal of medical biochemistry2022

Establishing reference intervals for von Willebrand factor multimers.

Marika Pikta, Marc Vasse, Kristi J Smock, Karen A Moser, Dievoet Marie-Astrid van, Sandra Lejniece, Timea Szanto, Hector Bautista, George Nouadje, Valdas Banys

Abstract read
In one paragraph

Article in Journal of medical biochemistry, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Observational
  2. 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

10 authors.

Marika PiktaNorth Estonia Medical Centre, Department of Laboratory Medicine, Tallinn, Estonia.
Marc VasseFoch Hospital, Department of Biology & UMR INSERM 1176, Suresnes, France.
Kristi J SmockUniversity of Utah, School of Medicine, Department of Pathology, Salt Lake City, UT, USA.
Karen A MoserUniversity of Utah, School of Medicine, Department of Pathology, Salt Lake City, UT, USA.
Dievoet Marie-Astrid vanCliniques Universitaires Saint-Luc, Laboratory Department, Bruxelles, Belgium.
Sandra LejnieceRiga Stradins University, Riga, Latvia.
Timea SzantoHelsinki University Hospital Comprehensive Cancer Center and University of Helsinki, Department of Hematology, Coagulation Disorders Unit, Helsinki, Finland.
Hector BautistaSebia, Research and Developments Department, Lisses - Evry Cedex, France.
George NouadjeSebia, Research and Developments Department, Lisses - Evry Cedex, France.
Valdas BanysVilnius University, Faculty of Medicine, Institute of Biomedical Sciences, Department of Physiology, Biochemistry, Microbiology and Laboratory Medicine, Vilnius, Lithuania.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: von Willebrand factor (VWF) multimers (VWF:MM) methodologies are technically difficult, laborious, time consuming, non-standardized and results vary between laboratories. A new semi automated VWF:MM assay is available for routine use (Sebia). Due to lack of reference values for VWF:MM fractions, results interpretation can be challenging in some cases. The aim of this study was to determine reference intervals for low molecular weight (LMWM), intermediate molecular weight (IMWM) and high molecular weight (HMWM) multimers. Methods: By the international cooperation initiated between 4 countries (Estonia, Latvia, France, and USA) 131 samples of relatively healthy individuals were analyzed for VWF:MM (in total 51 males and 80 non-pregnant females aged 17-69 years). Reference intervals were calculated according to CLSI C28-A3 standard. Results: The proposed reference intervals for VWF:MM were calculated for LMWM 10.4-22.5%, IMWM 22.6-37.6%, HMWM 45.6-66.6%. Age related differences were seen in IMWM and HMWM (p<0.001 and 0.038). There was no gender related difference observed. Geographically LMWM results of France were different from the other regions (p<0.05). Conclusions: Quantification of VWF:MM fractions, in addition to qualitative assessment of VWF:MM patterns, has the potential to aid in differential diagnosis of von Willebrand disease (VWD) subtypes. The reference values calculated in this study can be used in future research to establish clinical decision limits.

Indexed as

quantitative analysisreference intervalsvon Willebrand factorvon Willebrand factor multimers

Identifiers

PMID35431650
PMCPMC8970582

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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.