Ontology highlight
ABSTRACT: Objectives and design
A novel risk stratification algorithm estimating risk of death in patients with relapsed multiple myeloma starting second-line treatment was recently developed using multivariable Cox regression of data from a Czech registry. It uses 16 parameters routinely collected in medical practice to stratify patients into four distinct risk groups in terms of survival expectation. To provide insight into generalisability of the risk stratification algorithm, the study aimed to validate the risk stratification algorithm using real-world data from specifically designed retrospective chart audits from three European countries.Participants and setting
Physicians collected data from 998 patients (France, 386; Germany, 344; UK, 268) and applied the risk stratification
SUBMITTER: Hajek R
PROVIDER: S-EPMC7365483 | biostudies-literature | 2020 Jul
REPOSITORIES: biostudies-literature