Evidence map›Paper›PMID 38578497›Full record

ArticleJournal of neurology2024

Endothelial receptor proteins in acute venous thrombosis and delayed thrombus resolution in cerebral sinus vein thrombosis.

Lukas Kellermair, Christoph Höfer, Matthias W G Zeller, Christa Kubasta, Dave Bandke, Serge Weis, Jörg Kellermair, Thomas Forstner, Raimund Helbok, Milan R Vosko

Open access · hybridAbstract readMulticenter Study
In one paragraph

Article in Journal of neurology, 2024. 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
1.5field-weighted citation impact, top 18% of its field
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, 4 citations in OpenAlex.

  1. Article
  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 at 3 institutions in 1 country.

Lukas KellermairDepartment of Neurology, Kepler University Hospital GmbH, Johannes Kepler University Linz, Krankenhausstr. 9, 4021, Linz, Austria.ORCID http://orcid.org/0000-0003-4986-5657
Christoph HöferDepartment of Neurology, The Hospital of the Brothers of Saint John of God, Linz, Austria.
Matthias W G ZellerDepartment of Neurology, Kepler University Hospital GmbH, Johannes Kepler University Linz, Krankenhausstr. 9, 4021, Linz, Austria.
Christa KubastaDepartment of Laboratory Medicine, Kepler University Hospital, Linz, Austria.
Dave BandkeDivision of Neuropathology, Department of Pathology and Molecular Pathology, Kepler University Hospital, Neuromed Campus, Linz, Austria.
Serge WeisDivision of Neuropathology, Department of Pathology and Molecular Pathology, Kepler University Hospital, Neuromed Campus, Linz, Austria.
Jörg KellermairMedical Faculty, Johannes Kepler University, Linz, Austria.
Thomas ForstnerDepartment of Applied Systems Research and Statistics, Johannes Kepler University Linz, Linz, Austria.
Raimund HelbokDepartment of Neurology, Kepler University Hospital GmbH, Johannes Kepler University Linz, Krankenhausstr. 9, 4021, Linz, Austria.
Milan R VoskoDepartment of Neurology, Kepler University Hospital GmbH, Johannes Kepler University Linz, Krankenhausstr. 9, 4021, Linz, Austria. milan.vosko@kepleruniklinikum.at.
Johannes Kepler University of Linz · ATKepler Universitätsklinikum · ATHospital of the Brothers of St. John of God · AT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

background and purposeCerebral sinus venous thrombosis (CSVT) is a rare but life-threatening disease and its diagnosis remains challenging. Blood biomarkers, including D-Dimer are currently not recommended in guidelines. Soluble endothelial receptor proteins (sICAM-1, sPECAM-1 and sVCAM-1) have been shown to be promising diagnostic biomarkers in deep vein thrombosis (DVT) and pulmonary embolism (PE). Therefore, we examined endothelial receptor proteins as potential biomarkers for detecting CSVT.

methodsIn this bi-centre, prospective study, we quantified D-Dimer as well as sICAM-1, sPECAM-1 and sVCAM-1 in plasma of patients with clinically suspected CSVT managed in the neurological emergency department (ED) of a tertiary care hospital. All patients underwent cerebral magnetic resonance imaging (MRI) and were followed up after 3, 6 and 12 months to detect thrombus resolution.

resultsTwenty-four out of 75 (32%) patients with clinically suspected CSVT presenting with headache to the ED were diagnosed with acute CSVT. These patients had a mean age of 45 ± 16 years and 78% were female. In patients with CSVT, mean baseline D-dimer (p < 0.001) and sPECAM-1 (p < 0.001) were significantly higher compared to patients without CSVT. The combination of D-Dimer and sPECAM-1 yielded the best ROC-AUC (0.994; < 0.001) with a negative predictive value of 95.7% and a positive predictive value of 95.5%. In addition, higher baseline sPECAM-1 levels (> 198 ng/ml) on admission were associated with delayed venous thrombus resolution at 3 months (AUC = 0.83).

conclusionsPECAM-1 in combination with D-Dimer should be used to improve the diagnostic accuracy of acute CSVT and sPECAM-1 may predict long-term outcome of CSVT. Confirmatory results are needed in other settings in order to show their value in the management concept of CSVT patients.

Indexed as

Fibrin Fibrinogen Degradation ProductsSinus Thrombosis, IntracranialVenous ThrombosisAdultAgedBiomarkersFemaleFollow-Up StudiesHumansIntercellular Adhesion Molecule-1Magnetic Resonance ImagingMaleMiddle AgedProspective StudiesBiomarkersFibrin Fibrinogen Degradation Productsfibrin fragment DIntercellular Adhesion Molecule-1Cerebral sinus vein thrombosisEndothelial proteinssICAM-1sPECAM-1

Identifiers

PMID38578497
PMCPMC11233310
OpenAlexW4393992727

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.