The mm 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 mm Hub cannot guarantee the accuracy of translated content. The mm 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.
The Multiple Myeloma Hub is an independent medical education platform, sponsored by Bristol Myers Squibb, GSK, Johnson & Johnson, Pfizer, Roche and Sanofi. The levels of sponsorship listed are reflective of the amount of funding given. View funders.
Now you can support HCPs in making informed decisions for their patients
Your contribution helps us continuously deliver expertly curated content to HCPs worldwide. You will also have the opportunity to make a content suggestion for consideration and receive updates on the impact contributions are making to our content.
Find out moreCreate an account and access these new features:
Bookmark content to read later
Select your specific areas of interest
View mm content recommended for you
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
References