Abstract:BackgroundIdentifying predictors for early clinically inactive disease (CID) would allow stratified treatment decisions at diagnosis, minimising the burden of unnecessary therapies. JIA core outcome variables (COVs) are routinely collected and would therefore be convenient predictors. However, different groups of children are identified by current CID definitions (Wallace's preliminary criteria vs. clinical Juvenile Arthritis Disease Activity Score in 10 joints (cJADAS10)) and predictors may differ depending o… Show more
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