2016
DOI: 10.3233/jpd-160877
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Statistical Models of Parkinson’s Disease Progression: Predictive Validity in a 3-Year Follow-up

Abstract: A cross-sectional assessment of a PD population allowed the development of models of disease progression, whose predictive value was validated on a three-year longitudinal study.

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Cited by 5 publications
(6 citation statements)
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“…Lately, many long-lasting observations of patients with PD have been published (Hely et al, 1995;Reinoso et al, 2014;Ding et al, 2016;Kojovic et al, 2015;Di Battista et al, 2016;Mendes et al, 2016;Erro et al, 2016;Pedersen et al, 2017). Our present study demonstrated a favorable influence of regularly repeated non-invasive brain (N = 14).…”
Section: Discussionsupporting
confidence: 66%
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“…Lately, many long-lasting observations of patients with PD have been published (Hely et al, 1995;Reinoso et al, 2014;Ding et al, 2016;Kojovic et al, 2015;Di Battista et al, 2016;Mendes et al, 2016;Erro et al, 2016;Pedersen et al, 2017). Our present study demonstrated a favorable influence of regularly repeated non-invasive brain (N = 14).…”
Section: Discussionsupporting
confidence: 66%
“…variation. The yearly increment ranged between 1.2% and 3.8% depending on the applied scores (Mendes et al, 2016). They confirmed in their study that the different progression rates belonged to different Parkinsonian symptoms.…”
Section: ≤65mentioning
confidence: 65%
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“…S&E referred to off and on state conditions. Based on UPDRS‐III off and on, an axial index (sum of items 18, 27, 28, 29 and 30) and a non‐axial index [sum of items 20 (except face, lips and chin tremor), 21, 22 (except neck rigidity), 23, 24, 25 and 26] were calculated (Bejjani et al, ; Mendes et al, ).…”
Section: Methodsmentioning
confidence: 99%