Correction: Biomarkers of erosive arthritis in systemic lupus erythematosus: Application of machine learning models.

[This corrects the article DOI: 10.1371/journal.pone.

Biomarkers of erosive arthritis in systemic lupus erythematosus: Application of machine learning models.

Objective: Limited evidences are available on biomarkers to recognize Systemic Lupus erythematosus (SLE) patients at risk to develop erosive arthritis. Anti-citrullinated peptide antibodies (ACPA) have been widely investigated and identified in up to 50% of X-ray detected erosive arthritis; conversely, few studies evaluated anti-carbamylated proteins antibodies (anti-CarP). Here, we considered the application of machine learning models to identify relevant factors in the development of ultrasonography (US)-detected erosive damage in a large cohort of SLE patients with joint involvement.