Alan Karthikesalingam

TL;DR: Existing data on predictors of post-EVAR complications are generally of poor quality and largely derived from retrospective studies, and there is a need to refine risk prediction for EVAR failure and to conduct prospective comparative studies of personalized surveillance with standard practice.

TL;DR: In-hospital survival and the uptake of EVAR are lower in England than in the United States, and mortality was lowest in high-caseload centers performing a greater proportion of cases with endovascular repair.

TL;DR: Increased expertise in endograft technology, case selection and postoperative reintervention has created a need for reappraisal of the longer‐term efficacy of EVAR using contemporary data.

TL;DR: A new hybrid feature selection method is proposed which presents a solution to high level censoring and outperformed individual classifiers and variable selection methods based on Cox’s model such as Akaike and Bayesian information criterions and least absolute shrinkage and selector operator in p values of the log-rank test, sensitivity, and concordance index.