Synapse
⌘+K
Synapse
PulseExploreClubsResearchersJournals
Instagram
HomeClubsExplore
December 8, 2025BloodOpen Access

Personalized prognostic model for multiple myeloma patients using continuous variables

View Full Paper
Ask AI
Bookmark
Share

Authors

SCSamuele ConfaloneMCMichèle CavoPSPieter Sonneveld

Discussion

Loading...

Member takes

Overview

Prognostic model improves overall survival and progression-free survival in multiple myeloma, suggesting enhanced personalization of therapy.

Key Points

  • Brier score assessment showed improved prognostic accuracy for individual risk in multiple myeloma patients.
  • Progression-free survival metrics indicated better predictions using continuous variables over traditional staging systems.
  • Cox proportional hazards models employed demographic, clinical, and cytogenetic variables in a personalized score.
  • Implementation of the model could potentially enable better tailored therapeutic interventions for patients.

Cite This Study

Confalone et al. (2025) studied this question.

synapsesocial.com/papers/69362f3d4fa91c937236d534https://doi.org/10.1182/blood-2025-7563
View Full Paper
Ask AI
Bookmark
Share

Also Consider

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

  1. 1Machine learning risk stratification strategy for multiple myeloma: Insights from the EMN–HARMONY Alliance platform2025 · 4 citations
  2. 2A multivariable prediction model for early mortality in multiple myeloma patients with renal impairment2025
  3. 3Prognostic impact of early disease progression and early mortality in patients with multiple myeloma: a real-world cohort study2026
  4. 4Integrating the cardiovascular-renal-metabolic syndrome（ckm）: Construction and validation of a comprehensive model for early identification of high-risk multiple myeloma2025
  5. 5Integrated machine learning-based prognostic models for patients with Myelodysplastic Syndromes/neoplasms (MDS)2025