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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
What are the key considerations of the updated guidelines for early relapsed multiple myeloma?
The Multiple Myeloma Hub was pleased to speak to Shaji Kumar, Mayo Clinic, Rochester, US. We asked, What are the key considerations of the updated...
Novel risk score for predicting early relapse in patients with multiple myeloma
Early relapse following autologous hematopoietic stem cell transplant (auto-HSCT) is associated with a poor prognosis, as are high-risk cytogenetic features and failure...
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