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Randomized trial evaluates surrogate endpoints in autosomal dominant tubulointerstitial kidney disease, suggesting optimized trial design with a model-based tool.
). Both slope-based eGFR change and end-of-trial eGFR measures functioned as effective surrogate endpoints. Herein, we present the model-based CTS tool developed for ADTKD and demonstrate its use in designing and evaluating clinical trial scenarios, illustrated by two representative case studies. The CTS tool provides a pragmatic framework for optimizing ADTKD trial design. By enabling scenario testing and highlighting genotype-specific considerations, it supports efficient, cost-effective planning and represents an example of model-informed drug development in rare kidney diseases.
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Ramesh et al. (2026) studied this question.
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