Methodology of a Novel Risk Stratification Algorithm for Patients with Multiple Myeloma in the Relapsed Setting

Methodology of a Novel Risk Stratification Algorithm for Patients with Multiple Myeloma in the Relapsed Setting

Abstract Introduction Risk stratification tools provide valuable information to inform treatment decisions. Existing algorithms for patients with multiple myeloma (MM) were based on patients with newly diagnosed disease, and these have not been validated in the relapsed setting or in routine clinica...

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Bibliographic Details
Main Authors: Walter Bouwmeester, Andrew Briggs, Ben van Hout, Roman Hájek, Sebastian Gonzalez-McQuire, Marco Campioni, Lucy DeCosta, Lucie Brozova
Format: Article
Language:English
Published: Adis, Springer Healthcare 2019-11-01
Series:Oncology and Therapy
Subjects:
Algorithm
Multiple myeloma
Prognostic model
Risk
Survival
Online Access:http://link.springer.com/article/10.1007/s40487-019-00100-5

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http://link.springer.com/article/10.1007/s40487-019-00100-5

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