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Does intermittent pneumatic compression reduce the risk of post stroke deep vein thrombosis? The CLOTS 3 trial: study protocol for a randomized controlled trial

Overview of attention for article published in Trials, March 2012
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Title
Does intermittent pneumatic compression reduce the risk of post stroke deep vein thrombosis? The CLOTS 3 trial: study protocol for a randomized controlled trial
Published in
Trials, March 2012
DOI 10.1186/1745-6215-13-26
Pubmed ID
Authors

Martin Dennis, Peter Sandercock, John Reid, Catriona Graham, John Forbes, the CLOTS Trials Collaboration

Abstract

Approximately 80,000 patients each year are admitted to U.K. hospitals with an acute stroke and are immobile. At least 10% will develop a proximal deep vein thrombosis in the first month and 1.5% a pulmonary embolus. Although hydration, antiplatelet treatment and early mobilisation may reduce the risk of deep vein thrombosis, there are currently no preventive strategies which have been clearly shown to be both effective and safe. Anticoagulation increases the risks of bleeding and compression stockings are ineffective. Systematic reviews of small randomized trials of intermittent pneumatic compression have shown that this reduces the risk of deep vein thrombosis in patients undergoing surgery, but that there are few data concerning its use after stroke. The CLOTS trial 3 aims to determine whether, compared with best medical care, best medical care plus intermittent pneumatic compression in immobile stroke patients reduces the risk of proximal deep vein thrombosis.

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Mendeley readers

The data shown below were compiled from readership statistics for 101 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 1 <1%
Denmark 1 <1%
Unknown 99 98%

Demographic breakdown

Readers by professional status Count As %
Student > Master 15 15%
Other 12 12%
Researcher 10 10%
Student > Bachelor 10 10%
Student > Doctoral Student 8 8%
Other 15 15%
Unknown 31 31%
Readers by discipline Count As %
Medicine and Dentistry 32 32%
Nursing and Health Professions 16 16%
Pharmacology, Toxicology and Pharmaceutical Science 3 3%
Computer Science 3 3%
Economics, Econometrics and Finance 3 3%
Other 12 12%
Unknown 32 32%