A statistical approach to identify optimal inclusion criteria: An application to acute stroke clinical trials.

ABSTRACT:

Purpose

To develop a statistical approach that compares patient selection strategies across clinical trials and apply this approach to acute ischemic stroke clinical trials to identify the optimal inclusion criteria.

Methods

We developed a statistical approach that compares the number needed to treat to achieve one success (NNT) along with the number needed to screen to achieve one success (NNS) and assesses if there are significant differences in inclusion criteria, treatment course, and clinical outcome among patients that may have been included/excluded in the trials. We applied this approach to the study population from four recent positive acute stroke clinical trials: MR CLEAN, EXTEND-IA, ESCAPE, and SWIFT PRIME, applying published trial criteria to an independent regi

SUBMITTER: Ball RL 

PROVIDER: S-EPMC6463814 | biostudies-literature | 2019 Jun

REPOSITORIES: biostudies-literature