ArticleRheumatology international2013
The value of pattern capillary changes and antibodies to predict the development of systemic sclerosis in patients with primary Raynaud's phenomenon.
Article in Rheumatology international, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
4 citing papers in PubMed, 18 citations in OpenAlex.
- Raynaud's Phenomenon: A Current Update on Pathogenesis, Diagnostic Workup, and Treatment.Vascular specialist international · 2024Review
- Autoantibodies versus Skin Fibrosis Extent in Systemic Sclerosis: A Case-Control Study of Inverted Phenotypes.Diagnostics (Basel, Switzerland) · 2022Article
- Unmet Medical Needs in Chronic, Non-communicable Inflammatory Skin Diseases.Frontiers in medicine · 2022Review
- Classical Disease-Specific Autoantibodies in Systemic Sclerosis: Clinical Features, Gene Susceptibility, and Disease Stratification.Frontiers in medicine · 2020Review
Corrections and comments
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Authors and funding
5 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The aim of this study is to assess the prognostic value of major provisional criteria for the development of systemic sclerosis (SSc) in primary Raynaud's phenomenon (RP) patients. We retrospectively studied the chart of 497 patients with primary RP in whom anticentromere (ACA) and antitopoisomerase I (ATA) antibodies tests and a capillary reading were available. Sensitivity, specificity, positive predictive value, negative predictive value, positive likelihood ratios (LHR+), negative likelihood ratios (LHR-), odds ratio (OR), and area under the receiver operating characteristics curve (AUC) of those criteria were assessed to predict the development of SSc. During the average follow-up of 2.3 ± 1.9 years, 159 (32 %) patients evolved to SSc, 245 (49.3 %) evolved to other connective tissue diseases, and 93 (18.7 %) patients did not progress. The SSc pattern predicted SSc satisfactorily (LHR+ 4.12, LHR- 0.07, OR 63, AUC 0.819; P < 0.001). ACA were not significantly associated with the development of SSc (LHR+ 1.19, LHR- 0.9, OR 1.32, AUC 0.538, P = 0.156). ATA were significantly associated with the development of SSc (LHR+ 9.32, LHR- 0.67, OR 15.13, AUC 0.777; P < 0.001). Both SSc pattern and ACA or ATA were significantly associated with the development of SSc (LHR+ 2.98, LHR- 0.70, OR 4.2, AUC 0.674; P < 0.001 vs. LHR+ 16, LHR- 0.68, OR 24, AUC 0.819; P < 0.001, respectively). SSc pattern or ATA as independent risk factors, as well as following two parameters together (SSc pattern and ATA or SSc pattern and ACA) were good predictors for the development of SSc.
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