Powered by OpenAIRE graph
Found an issue? Give us feedback
image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/ JDDG Journal der Deu...arrow_drop_down
image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao
JDDG Journal der Deutschen Dermatologischen Gesellschaft
Article . 2013 . Peer-reviewed
License: Wiley Online Library User Agreement
Data sources: Crossref
versions View all 2 versions
addClaim

Capillaroscopy

Authors: Peter, Jung; Franz, Trautinger;
Abstract

SummaryMicroscopy of the nailfold capillaries has found increasing use in dermatology, rheumatology and angiology particularly as an important tool to distinguish between primary and secondary Raynaud disease. The best evidence is available in systemic sclerosis where specific capillaroscopic patterns have a high positive predictive value for the development of the disease. Conversely, a regular capillary pattern rules out systemic sclerosis with high degree of probability. PRINCE (prognostic index for nailfold capillaroscopic examination) was developed to identify patients at high risk of developing systemic sclerosis. CSURI (capillaroscopic skin ulcer risk index) should predict the risk of developing digital ulcers in patients with systemic sclerosis with high specificity and sensitivity.As a consequence of recent results a pathologic capillary pattern was integrated by the EULAR Scleroderma Trials and Research Group (EUSTAR) in the diagnostic algorithm of the VEDOSS‐Project (very early diagnosis of systemic sclerosis). Capillary patterns may correlate with visceral involvement and capillaroscopy thus has the potential as a screening tool to enable early diagnosis of organ involvement in systemic sclerosis.

Keywords

Diagnosis, Differential, Microscopy, Scleroderma, Diffuse, Skin Ulcer, Angiography, Humans, Raynaud Disease, Microscopic Angioscopy

  • BIP!
    Impact byBIP!
    selected citations
    These citations are derived from selected sources.
    This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    17
    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    Top 10%
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    Top 10%
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    Top 10%
Powered by OpenAIRE graph
Found an issue? Give us feedback
selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
17
Top 10%
Top 10%
Top 10%
bronze