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. 2022 Mar 15;4(2):fcac040. doi: 10.1093/braincomms/fcac040

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© The Author(s) 2022. Published by Oxford University Press on behalf of the Guarantors of Brain.

This is an Open Access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted reuse, distribution, and reproduction in any medium, provided the original work is properly cited.

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Prediction of dementia in Parkinson disease within 10 years, by logistic regression. (A) Receiver operating characteristic curves with AUC for predicting in Parkinson disease (PDD) with the clinical model and the combined clinical-biomarker model. Asymptotic significance for having a better predictive capability than chance, P < 0.001 (both models). (B) List of factors (using three factors versus two factors, to the left and right, respectively) in the logistic regression model for prediction of dementia. (C) A risk chart with the individual risk of dementia within 10 years, shown for a patient in the middle value of each tertile of the risk factors shown in the predictive models in B. MCI, mild cognitive impairment; UPDRS, Unified Parkinson’s Disease Ranking Scale (part III was the motor subscale used for motor scores); CSF Aβ42, amyloid-β42 in CSF.