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UK Dermatology Clinical Trials Network’s STOP GAP trial (a multicentre trial of prednisolone versus ciclosporin for pyoderma gangrenosum): protocol for a randomised controlled trial

Overview of attention for article published in Trials, April 2012
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Title
UK Dermatology Clinical Trials Network’s STOP GAP trial (a multicentre trial of prednisolone versus ciclosporin for pyoderma gangrenosum): protocol for a randomised controlled trial
Published in
Trials, April 2012
DOI 10.1186/1745-6215-13-51
Pubmed ID
Authors

Fiona F Craig, Kim S Thomas, Eleanor J Mitchell, Hywel C Williams, John Norrie, James M Mason, Anthony D Ormerod

Abstract

Pyoderma gangrenosum (PG) is a rare inflammatory skin disorder characterised by painful and rapidly progressing skin ulceration. PG can be extremely difficult to treat and patients often require systemic immunosuppression. Recurrent lesions of PG are common, but the relative rarity of this condition means that there is a lack of published evidence regarding its treatment. A systematic review published in 2005 found no randomised controlled trials (RCTs) relating to the treatment of PG. Since this time, one small RCT has been published comparing infliximab to placebo, but none of the commonly used systemic treatments for PG have been formally assessed. The UK Dermatology Clinical Trials Network's STOP GAP Trial has been designed to address this lack of trial evidence.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 104 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Spain 1 <1%
Colombia 1 <1%
Unknown 102 98%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 15 14%
Student > Master 15 14%
Researcher 12 12%
Student > Bachelor 9 9%
Student > Doctoral Student 8 8%
Other 21 20%
Unknown 24 23%
Readers by discipline Count As %
Medicine and Dentistry 59 57%
Nursing and Health Professions 5 5%
Pharmacology, Toxicology and Pharmaceutical Science 4 4%
Computer Science 1 <1%
Immunology and Microbiology 1 <1%
Other 8 8%
Unknown 26 25%