Critical review identifies gaps in prediction models for multiple myeloma, suggesting better integration for treatment planning.
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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Jarrah et al. (2026) studied this question.
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