Prediction models for liver decompensation in compensated advanced chronic liver disease: A systematic review

For clinical utility, a predictive model must accurately describe future risks. Models for predicting decompensation in cACLD are often poorly described, infrequently include patients with ArLD, and lack external validation. These factors are barriers to the clinical utility and uptake of predictive models for first decompensation in patients with cACLD.