Evidence map›Paper›PMID 26916302›Full record

ReviewThrombosis research2016

Measurement of microparticle tissue factor activity in clinical samples: A summary of two tissue factor-dependent FXa generation assays.

Yohei Hisada, Wyeth Alexander, Raj Kasthuri, Peter Voorhees, Fariborz Mobarrez, Angela Taylor, Coleen McNamara, Hakan Wallen, Marco Witkowski, Nigel S Key and 2 more

Open access · greenAbstract readReview
In one paragraph

Review in Thrombosis research, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 47 papers.

0numbers the graph read from it
0cells of the map it votes in
47citing papers in PubMed
8.4field-weighted citation impact, top 2% 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

47 citing papers in PubMed, 82 citations in OpenAlex.

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  13. Tissue factor activity of small and large extracellular vesicles in different diseases.Research and practice in thrombosis and haemostasis · 2023
    Article
  14. Evaluation of four commercial ELISAs to measure tissue factor in human plasma.Research and practice in thrombosis and haemostasis · 2023
    Article
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

12 authors at 4 institutions in 4 countries.

Yohei HisadaMcAllister Heart Institute, Department of Medicine, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA.
Wyeth AlexanderMcAllister Heart Institute, Department of Medicine, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA.
Raj KasthuriDivision of Hematology/Oncology, Department of Medicine, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA.
Peter VoorheesDivision of Hematology/Oncology, Department of Medicine, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA.
Fariborz MobarrezKarolinska Institute, Department of Medicine Solna, Unit of Rheumatology, Stockholm, Sweden.
Angela TaylorCardiovascular Research Center, Department of Medicine, University of Virginia, Charlottesville, VA, USA.
Coleen McNamaraCardiovascular Research Center, Department of Medicine, University of Virginia, Charlottesville, VA, USA.
Hakan WallenKarolinska Institute, Division of Cardiovascular Medicine, Department of Clinical Sciences, Danderyd Hospital, Stockholm, Sweden.
Marco WitkowskiDepartment of Cardiology, Charité-Universitätsmedizin, Berlin, Germany.
Nigel S KeyDivision of Hematology/Oncology, Department of Medicine, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA.
Ursula RauchDepartment of Cardiology, Charité-Universitätsmedizin, Berlin, Germany.
Nigel MackmanMcAllister Heart Institute, Department of Medicine, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA; Division of Hematology/Oncology, Department of Medicine, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA. Electronic address: nigel_mackman@med.unc.edu.
University of North Carolina at Chapel Hill · USCharité - Universitätsmedizin Berlin · DEKarolinska Institutet · SEUniversity of Virginia · US

Funding

Mechanisms of Venous Thromboembolism in CancerR01HL095096 · NHLBI · UNIV OF NORTH CAROLINA CHAPEL HILL · PI KEY, NIGEL S., MACKMAN, NIGEL · 2008 to 2012
$2.6M
NHLBI NIH HHS R01 HL095096
6 · The paper itself

Abstract

Thrombosis is a leading cause of morbidity and mortality. Detection of a prothrombotic state using biomarkers would be of great benefit to identify patients at risk of thrombosis that would benefit from thromboprophylaxis. Tissue factor (TF) is a highly procoagulant protein that under normal conditions is not present in the blood. However, increased levels of TF in the blood in the form of microparticles (MPs) (also called extracellular vesicles) are observed under various pathological conditions. In this review, we will discuss studies that have measured MP-TF activity in a variety of diseases using two similar FXa generation assay. One of the most robust signals for MP-TF activity (16-26 fold higher than healthy controls) is observed in pancreatic cancer patients with venous thromboembolism. In this case, the TF+ MPs appear to be derived from the cancer cells. Surprisingly, cirrhosis and acute liver injury are associated with 17-fold and 38-fold increases in MP-TF activity, respectively. Based on mouse models, we speculate that the TF+ MPs are derived from hepatocytes. More modest increases are observed in patients with urinary tract infections (6-fold) and in a human endotoxemia model (9-fold) where monocytes are the likely source of the TF+ MPs. Finally, there is no increase in MP-TF activity in the majority of cardiovascular disease patients. These studies indicate that MP-TF activity may be a useful biomarker to identify patients with particular diseases that have an increased risk of thrombosis.

Indexed as

AnimalsBiomarkersBlood Coagulation TestsCell-Derived MicroparticlesFactor XaHumansNeoplasmsThromboplastinThrombosisBiomarkersFactor XaThromboplastinCancerMicroparticlesThrombosis, tissue factor

Identifiers

PMID26916302
PMCPMC10821530
OpenAlexW2257098687

What OpenQuestion holds

Textmetadata
LicenceTDM
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.