Fig. 3: Forest plot of median conversion times (years) and hazard ratios for key predictors of time-to-PD-MCI in the cross-cohort analysis. | npj Digital Medicine

Fig. 3: Forest plot of median conversion times (years) and hazard ratios for key predictors of time-to-PD-MCI in the cross-cohort analysis.

From: Multi-cohort machine learning identifies predictors of cognitive impairment in Parkinson’s disease

Fig. 3: Forest plot of median conversion times (years) and hazard ratios for key predictors of time-to-PD-MCI in the cross-cohort analysis.The alternative text for this image may have been generated using AI.

Forest plot showing the relationship between two key predictors (Benton Judgment of Line Orientation score and age at PD diagnosis) and the development of mild cognitive impairment (PD-MCI). The left panel displays median conversion times with 95% confidence intervals (CIs), stratified by predictor thresholds (≥16 vs <16 for Benton score; ≥53 vs <53 years for age at PD diagnosis). Solid blue lines indicate statistically significant differences between groups (p-value < 0.05), while grey lines indicate non-significant differences. The right panel shows corresponding hazard ratios (HR) with 95% CIs, where HR greater than 1 indicate increased risk of PD-MCI for the higher category compared to the reference group (lower category). For age at PD diagnosis, patients diagnosed at ≥53 years show significantly higher risk of developing PD-MCI compared to those diagnosed earlier.

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