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December 8, 2025BloodOpen Access

Personalized prognostic model for multiple myeloma patients using continuous variables

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Authors

SCSamuele ConfaloneMCMichèle CavoPSPieter Sonneveld

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Overview

This model improves prognosis and progression-free survival assessments in newly diagnosed multiple myeloma patients, suggesting continuous variables enhance prediction accuracy.

Key Points

  • The study aims to develop a personalized prognostic model for multiple myeloma patients using continuous variables.
  • Identified demographic, clinical, and cytogenetic features for newly diagnosed MM patients.
  • Analyzed overall survival and progression-free survival using Cox proportional hazards models.
  • Conducted model validation through performance metrics such as Brier score and others.
  • Utilized time-dependent ROC analysis to refine risk categorization.
  • Compared the new model's predictive power to existing staging systems.
  • The personalized model showed superior predictive power for overall survival and progression-free survival compared to traditional staging systems.
  • Continuous variables improved individual prognosis predictions within the intermediate-risk cohort.
  • The model enables customized estimation of survival probabilities at defined time points.

Cite This Study

Confalone et al. (2025) studied this question.

synapsesocial.com/papers/69362f3d4fa91c937236d534https://doi.org/10.1182/blood-2025-7563
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Also Consider

Synapse has enriched 5 closely related papers on similar clinical questions. Consider them for comparative context:

  1. 1Dynamic Prediction of Survival Outcomes in Multiple Myeloma2026
  2. 2Machine learning risk stratification strategy for multiple myeloma: Insights from the EMN–HARMONY Alliance platform2025
  3. 3Machine learning risk stratification strategy for multiple myeloma: Insights from the EMN–HARMONY Alliance platform2025 · 4 citations
  4. 4A multivariable prediction model for early mortality in multiple myeloma patients with renal impairment2025
  5. 5A Prognostic Survival Model Incorporating Patient-Reported Outcomes for Transplant-Ineligible Patients With Multiple Myeloma2024 · 3 citations