Results of univariable and multivariable regression aiming at explaining the probability of EDSS progression.

1 heterogeneity is the same for all variables in the multivariable model.Regression coefficients relate to the logarithmic odds of progression. τ2 denotes the unexplained between-study heterogeneity, and the reduction percentages relate to the model including only follow-up duration as a predictor (which is also included in all univariable models). The multivariable model was selected based on the Bayesian information criterion (BIC).