Clinical predictors of response to methotrexate in patients with rheumatoid arthritis: a machine learning approach using clinical trial data.

Stephanie Q Duong Cynthia S CrowsonArjun AthreyaElizabeth J Atkinson John M Davis Kenneth J Warrington Eric L MattesonRichard WeinshilboumLiewei WangElena Myasoedova

Published in: Arthritis research & therapy (2022)

We have developed and externally validated a prediction model for response to methotrexate within 24 weeks in DMARD-naïve patients with RA, providing variably weighted clinical features and defined cutoffs for clinical decision-making.

Keyphrases

clinical trial
machine learning
decision making
high dose
rheumatoid arthritis
randomized controlled trial
electronic health record
magnetic resonance imaging
open label
ankylosing spondylitis
phase ii
systemic sclerosis
data analysis
gestational age
double blind
phase iii