Fig. 4: Forest plot of time-to-SCD predictors showing median conversion times (years) and hazard ratios in the cross-cohort analysis. | npj Digital Medicine

Fig. 4: Forest plot of time-to-SCD predictors showing median conversion times (years) and hazard ratios in the cross-cohort analysis.

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

Fig. 4: Forest plot of time-to-SCD predictors showing median conversion times (years) and hazard ratios in the cross-cohort analysis.The alternative text for this image may have been generated using AI.

The plot illustrates how multiple clinical predictors affect subjective cognitive decline (SCD). The left panel shows median time to SCD onset with 95% confidence intervals (CIs), comparing subgroups for each predictor. Solid blue lines indicate statistically significant differences between groups (p-value < 0.05), while grey lines indicate non-significant differences. Key predictors include MDS-UPDRS Part I score (≥12 vs <12), postural abnormalities, tremor characteristics, and age at PD diagnosis (≥62 vs <62 years). The right panel displays corresponding hazard ratios (HR) with 95% CIs, where values > 1 indicate increased risk. Notable findings include a significantly higher SCD risk for patients diagnosed after age 62 and those with higher MDS-UPDRS Part I scores. Some features such as sleep problems and REM sleep behavior disorder show wider confidence intervals, suggesting more uncertainty in their predictive value.

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