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Assessing the EULAR/ACR classification criteria for patients with systemic lupus erythematosus

期刊

EXPERT REVIEW OF CLINICAL IMMUNOLOGY
卷 18, 期 2, 页码 135-144

出版社

TAYLOR & FRANCIS LTD
DOI: 10.1080/1744666X.2022.2033617

关键词

Systemic lupus erythematosus; classification criteria; sensitivity; specificity; antinuclear antibodies; overlap disease

资金

  1. EULAR
  2. ACR

向作者/读者索取更多资源

External validation worldwide has confirmed the concepts and performance of the new EULAR/ACR SLE classification criteria. However, variation in specificity may be due to incomplete application of the attribution rule, while uncertainty and lack of consensus on disease entity boundaries also contribute to variation in estimates. Sensitivity relies heavily on the performance of ANA tests.
Introduction The European League Against Rheumatism/American College of Rheumatology (EULAR/ACR) classification criteria for systemic lupus erythematosus (SLE) established a new criteria system with antinuclear antibodies (ANA) as an entry criterion, domains, and weighted criteria. In the validation cohort, specificity and sensitivity each matched the best performance of the previous criteria sets. Areas covered Groups worldwide have externally validated the EULAR/ACR SLE classification criteria. Studies on the classification criteria were searched on PubMed and analyzed for their estimates of criteria performance. These were combined with new insights from the EULAR/ACR criteria project to understand any differences in assessments. Expert opinion Overall, external validation supports the concepts and performance of the new SLE criteria. Variation in specificity in part appears to be related to incomplete application of the attribution rule of the criteria, under which items should only be counted for SLE if there were no more likely alternative explanation. Scientific uncertainty, and a lack of worldwide consensus, on the borderline between disease entities, e.g. between SLE and isolated cutaneous lupus erythematosus (CLE), also affected variation in estimates. For sensitivity, the performance of tests for ANA is critical.

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