Clinical experiment designed to assess clinical efficacy targeting miR-130a in human patients. Primary outcome: prediction of sEV ineffectiveness
This clinical diagnostic study used Receiver Operating Characteristic (ROC) curve analysis to develop a predictive model for identifying ineffective sEV based on miR-130a and TGF-β content. The analysis aimed to create a clinically useful tool for identifying patients whose autologous sEV would be ineffective for pro-angiogenic therapy. ROC curve analyses were performed using miR-130a and TGF-β content measurements 'in Series' to predict sEV ineffectiveness. The results revealed that sEV ineffectiveness could be predicted with a Likelihood Ratio positive (LH+) of 3.3 with 95% confidence interval from 2.6 to 3.9. This diagnostic analysis provided a practical framework for patient stratification in potential sEV-based therapeutic applications.
ROC curve analysis using miR-130a and TGF-β content measurements in series
development of predictive model for sEV effectiveness
statistically significant predictive capability with clinically useful likelihood ratios
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