| Literature DB >> 34329580 |
Lukas Ronner1, Sangeetha Venugopal2, Erin Moshier3, John Mascarenhas4.
Abstract
Polycythaemia vera is a challenging disease to study given its low prevalence and prolonged time-to-event for important clinical endpoints such as thrombosis, progression, and mortality. Although researchers in this space often rise to meet these challenges, there is considerable room for improvement in the analysis of retrospective data, the development of risk-stratification tools, and the design of randomised controlled trials. In this Viewpoint, we review the evidence behind the contemporary approach to risk stratification and treatment of polycythaemia vera. Frameworks for using data more efficiently, constructing more nuanced prognostic models, and overcoming challenges in clinical trial design are discussed.Entities:
Year: 2021 PMID: 34329580 DOI: 10.1016/S2352-3026(21)00171-X
Source DB: PubMed Journal: Lancet Haematol ISSN: 2352-3026 Impact factor: 18.959