Meta-Analysis of Effect in Serum Bio-Markers for Early Diagnosis: Rheumatoid Arthritis

Abstract

Rheumatoid arthritis refers to acute and chronic arthritis due to unexplained autoantibody attack. Rheumatoid arthritis should be accompanied by difficulty in mobility and severe distress due to the progression of systemic arthritis. Therefore, this study early diagnoses the effects of Rheumatoid factor (RF), C-reactive protein (CRP), and Anti-cyclic citrullinated peptide (Anti-CCP), which are typical serum markers for rheumatoid arthritis by meta-analysis. Pubmed and EMBASE, were used as PICO criteria, and two independent researchers selected papers according to the criteria set in this study.The selection criteria was a study of patients with rheumatoid arthritis who developed early onset, and the paper was evaluated using the NCS. Forest plot and Funnel plot graphs for each serum marker were calculated using Revman 5.4. After finding 193 papers on Pubmed and 184 papers on EMBASE and selecting according to the criteria, a total of 41 papers were used for the analysis. The magnitude of the effect that appears in the Forest plot of RF with the Mean differnce value is 134.34, CRP is 21.42 and Anti-CCP is 270.41. The magnitude of the effect of Anti-CCP in meta-analysis was analyzed to be larger than that of RF and CRP, and it is considered that the development of early-diagnosis serum markers using Anti-CCP and additional retrospective studies are highly effective. The combination of RF, CRP, and Anti-CCP as a panel marker is expected to be very efficient.