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December 8, 2025Blood

Real-world temporal evaluation of static risk prediction in polycythemia vera

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Authors

YSYushu ShiGAGhaith Abu‐Zeinah

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Overview

Analysis reveals aging influences risk predictions in polycythemia vera, suggesting models must be dynamic.

Key Points

  • Thrombotic events in polycythemia vera shift risk profiles over time, potentially misleading care plans.
  • Prognostic models displayed declining performance after initial diagnosis, particularly in dynamic contexts.
  • Evaluation of genomic data highlighted key co-mutations and subtypes impacting overall survival predictions.
  • Age remained the dominant factor in mortality risk, emphasizing the need for adaptive risk assessment frameworks.

Cite This Study

Shi et al. (2025) studied this question.

synapsesocial.com/papers/69362f744fa91c937236e293https://doi.org/10.1182/blood-2025-5594
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