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April 1, 2026European Journal Of Haematology0 citations

Treatment‐Specific Prediction Models in Multiple Myeloma: A Critical Review of Current Evidence and Future Directions

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MJMays M. JarrahHAHumaid O. Al‐ShamsiZAZiad Abuhelwa

Key Points

  • This review aims to evaluate the current state of prediction models for personalized treatment in multiple myeloma.
  • Analyzed existing prediction models for multiple myeloma.
  • Identified methodological gaps and barriers to implementation.
  • Assessed the integration of models into clinical decision-support systems.
  • Models lack external validation and transparency.
  • Few incorporate patient-reported outcomes.
  • No tools exist for real-world application as online calculators.

Abstract

Methodological and translational gaps remain, including limited transparency, scarce external validation, and lack of patient-reported or longitudinal predictors. None of the models have been implemented as online calculators or integrated into electronic decision-support systems, limiting real-world uptake. Addressing these gaps is essential for developing clinically meaningful prediction tools to support personalized treatment in MM.

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Cite This Study

Jarrah et al. (2026) studied this question.

synapsesocial.com/papers/69ccb75916edfba7beb89475https://doi.org/10.1111/ejh.70177
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