All content on this site is intended for healthcare professionals only. By acknowledging this message and accessing the information on this website you are confirming that you are a Healthcare Professional. If you are a patient or carer, please visit the International Myeloma Foundation or HealthTree for Multiple Myeloma.
The Multiple Myeloma Hub website uses a third-party service provided by Google that dynamically translates web content. Translations are machine generated, so may not be an exact or complete translation, and the Multiple Myeloma Hub cannot guarantee the accuracy of translated content. The Multiple Myeloma Hub and its employees will not be liable for any direct, indirect, or consequential damages (even if foreseeable) resulting from use of the Google Translate feature. For further support with Google Translate, visit Google Translate Help.
Bookmark this article
The Multiple Myeloma Hub was pleased to speak to Meral Beksac, Ankara University, Ankara, TR. We asked, How can we better predict early relapse in multiple myeloma (MM)?
How can we better predict early relapse in multiple myeloma?
In this video, Beksac presents their recent research paper on the predictors of post-transplant early relapse in MM, highlighting the development of a novel risk scoring tool: the EBMT ER score.1
Beksac discusses key prognostic factors including age, sex, disease status, International Staging System score, and Karnofsky score by their impact on relapse. Moving forward, Beksac summarizes how the combination of these factors by individual was used to stratify patients into five subgroups, which may better predict the risk of early relapse after transplantation in MM.1
Subscribe to get the best content related to multiple myeloma delivered to your inbox