This analysis demonstrates predictive modeling of renal survival in ADPKD patients, indicating potential for personalized treatments.
predicted probabilities against observed renal survival demonstrated excellent concordance.The model showed very good discrimination, with an area under the curve of 0.96 in year 1 and 0.90 in year 2. Conclusion:The stepwise-selected model was effective for the prediction of renal survival in ADPKD patients.This model can support a useful clinical adjunct for evaluating the prognosis of patient with ADPKD and has the potential to support individualized decisionmaking in both research and clinical practice.I have no potential conflict of interest to disclose.I did not use generative AI and AI-assisted technologies in the writing process.
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Aoyama et al. (2026) studied this question.
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