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Original Research Article

Modeling long-term health and economic implications of new treatment strategies for Parkinson’s disease: an individual patient simulation study

ORCID Icon, , , , , , & show all
Article: 1922163 | Received 25 Feb 2021, Accepted 22 Apr 2021, Published online: 03 Jun 2021

Figures & data

Figure 1. Model influence diagram

Outlines the key relationships captured in the Parkinson’s disease model.Abbreviations: HY = Hoehn and Yahr; MDS-UPDRS = Movement Disorder Society Unified Parkinson’s Disease Rating Scale; PD = Parkinson’s disease.
Figure 1. Model influence diagram

Table 1. Model inputs and sources

Table 2. Simulation base case results for a hypothetical DMT added to standard of care vs. standard of care over a lifetime horizon

Figure 2. Simulation of movement disorder society unified Parkinson’s disease rating scale scores over time for a newly diagnosed cohort: comparison of simulated with observed outcomes

A) MDS-UPDRS I, B) MDS-UPDRS II, C) MDS-UPDRS III; Observed (grey): Mean observed data for each subscale derived from analyses of PPMI data; Simulated: Model outputs from simulation of a newly diagnosed cohort with PPMI-baseline characteristics, PPMI based equationsAbbreviations: MDS-UPDRS = Movement Disorder Society Unified Parkinson’s Disease Rating Scale; PPMI = Parkinson’s Progression Markers Initiative.
Figure 2. Simulation of movement disorder society unified Parkinson’s disease rating scale scores over time for a newly diagnosed cohort: comparison of simulated with observed outcomes

Figure 3. Deterministic sensitivity analysis results

Tornado diagrams for simulation of a DMT vs. standard of care over a lifetime horizonAbbreviations: DMT = disease-modifying therapy; HR = hazard ratio; HY = Hoehn and Yahr; MDS-UPDRS = Movement Disorder Society Unified Parkinson’s Disease Rating Scale; PD = Parkinson’s disease; QALY = quality-adjusted life year.
Figure 3. Deterministic sensitivity analysis results
Supplemental material

Supplemental Material

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