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Find video protocols related to scientific articles indexed in Pubmed.
The 2013 ACR/EULAR Classification Criteria for Systemic Sclerosis Out-perform the 1980 Criteria. Data from the Canadian Scleroderma Research Group.
Arthritis Care Res (Hoboken)
PUBLISHED: 01-13-2014
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Objective: The goal of this study was to determine the sensitivity of the new 2013 classification criteria for systemic sclerosis (SSc) in an independent cohort of SSc subjects and to assess the contribution of individual items of the criteria to the overall sensitivity. Method: SSc subjects from the Canadian Scleroderma Research Group cohort were assessed. Sensitivity was determined in several subgroups of patients. In patients without the criterion of skin thickening proximal to the metacarpophalangeal joints (MCPs), we re-calculated sensitivity after removing individual criterion. Results: A total of 724 SSc patients were included. Most were females (86%), mean age was 55.8 years, mean disease duration was 10.9 years, and 59% had lcSSc. Overall, the sensitivity of the 2013 criteria was 98.3% compared to 88.3% for the 1980 criteria. This pattern was consistent among those with lcSSc (98.8% versus 85.6%), anti-centromere antibodies (98.9% vs 79.8%), disease duration ? 3 years (98.7% vs 84.7%) and no skin involvement proximal to the MCPs (97% vs 60%). In the latter sub-group, removing Raynaud's phenomenon and sclerodactyly from the criteria reduced the sensitivity to 77% and 79%, respectively. Removing both sclerodactyly and puffy fingers reduced the sensitivity to 62%. Conclusion: The 2013 SSc classification criteria classify more SSc patients than the 1980 criteria. The improvement in sensitivity is most striking in those with lcSSc, especially those without skin involvement proximal to the MCPs. The addition of Raynaud's phenomenon and puffy fingers to the 2013 criteria accounts for important gains in sensitivity. © 2014 American College of Rheumatology.
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Immunochip analysis identifies multiple susceptibility loci for systemic sclerosis.
Am. J. Hum. Genet.
PUBLISHED: 01-07-2014
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In this study, 1,833 systemic sclerosis (SSc) cases and 3,466 controls were genotyped with the Immunochip array. Classical alleles, amino acid residues, and SNPs across the human leukocyte antigen (HLA) region were imputed and tested. These analyses resulted in a model composed of six polymorphic amino acid positions and seven SNPs that explained the observed significant associations in the region. In addition, a replication step comprising 4,017 SSc cases and 5,935 controls was carried out for several selected non-HLA variants, reaching a total of 5,850 cases and 9,401 controls of European ancestry. Following this strategy, we identified and validated three SSc risk loci, including DNASE1L3 at 3p14, the SCHIP1-IL12A locus at 3q25, and ATG5 at 6q21, as well as a suggested association of the TREH-DDX6 locus at 11q23. The associations of several previously reported SSc risk loci were validated and further refined, and the observed peak of association in PXK was related to DNASE1L3. Our study has increased the number of known genetic associations with SSc, provided further insight into the pleiotropic effects of shared autoimmune risk factors, and highlighted the power of dense mapping for detecting previously overlooked susceptibility loci.
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Demographic and clinical factors associated with physician service use in systemic sclerosis.
J. Rheumatol.
PUBLISHED: 03-24-2009
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To assess physician service use in a large sample of patients with systemic sclerosis (SSc), and to determine factors associated with physician use.
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What is Visualize?

JoVE Visualize is a tool created to match the last 5 years of PubMed publications to methods in JoVE's video library.

How does it work?

We use abstracts found on PubMed and match them to JoVE videos to create a list of 10 to 30 related methods videos.

Video X seems to be unrelated to Abstract Y...

In developing our video relationships, we compare around 5 million PubMed articles to our library of over 4,500 methods videos. In some cases the language used in the PubMed abstracts makes matching that content to a JoVE video difficult. In other cases, there happens not to be any content in our video library that is relevant to the topic of a given abstract. In these cases, our algorithms are trying their best to display videos with relevant content, which can sometimes result in matched videos with only a slight relation.