Student or educator? Sign up with your school email and get 6 months of Pro free.
Cited by 586

The DOI matches its Crossref record; 72 of the 72 references it cites were found in a registry or an index.

Neutrophil Extracellular Trap (NET) Impact on Deep Vein Thrombosis

Open access
Fuchs, Tobias A., Brill, Alexander, Wagner, Denisa D.·2012·Arteriosclerosis, Thrombosis, and Vascular Biology

Abstract

Deep vein thrombosis (DVT) is a major health problem that requires improved prophylaxis and treatment. Inflammatory conditions such as infection, cancer, and autoimmune diseases are risk factors for DVT. We and others have recently shown that extracellular DNA fibers produced in inflammation and known as neutrophil extracellular traps (NETs) contribute to experimental DVT. NETs stimulate thrombus formation and coagulation and are abundant in thrombi in animal models of DVT. It appears that, in addition to fibrin and von Willebrand factor, NETs represent a third thrombus scaffold. Here, we review how NETs stimulate thrombosis and discuss known and potential interactions of NETs with endothelium, platelets, red blood cells, and coagulation factors and how NETs could influence thrombolysis. We propose that drugs that inhibit NET formation or facilitate NET degradation may prevent or treat DVT.

Overview

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Integrity signals

Registry

Crossref · 10.1161/atvbaha.111.242859

Cites

72 of 72 references verified0 citation errors · 0 not checkable

Statistics

Verification

Claims the paper makes

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Self-check

Percentages, sums and reported differences re-computed from the paper’s own numbers.

The self-check needs the paper’s full text.

Citations

Cites

Show all 72 references

Cited by

See all 586

Metadata

Authors
Fuchs, T. A., Brill, A., & Wagner, D. D.
Venue
Arteriosclerosis, Thrombosis, and Vascular Biology
Published
2012-08
Volume
32
Issue
8
Pages
1777-1783
ISSN
  • 1079-5642 (ISSN-L)
  • 1524-4636
OpenAlex
W2134923719
Cited by
586
References
72
FWCI
13.56
Type
journal article
Language
en
Open access
bronze

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review

How to cite

Cite CoChat for the checks on this page, and the paper for its own findings.

This page
CoChat. (2026). Citation check: Neutrophil Extracellular Trap (NET) Impact on Deep Vein Thrombosis. https://app.cochat.ai/papers/10.1161/atvbaha.111.242859
The paper
Fuchs, T. A., Brill, A., & Wagner, D. D. (2012). Neutrophil Extracellular Trap (NET) Impact on Deep Vein Thrombosis. Arteriosclerosis, Thrombosis, and Vascular Biology. https://doi.org/10.1161/atvbaha.111.242859

Data sources

Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.