Volkert Siersma
University of Copenhagen
363 Papers
763 Citations
Volkert Siersma is an academic researcher from University of Copenhagen. The author has contributed to research in topics: Medicine & Population. The author has an hindex of 40, co-authored 288 publications.
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Papers
The Copenhagen Primary Care Differential Count (CopDiff) database.
Christen Lykkegaard Andersen,Volkert Siersma,Willy Karlslund,Hans Carl Hasselbalch,Peter Felding,Ole Weis Bjerrum,Niels de Fine Olivarius +6 more
TL;DR: Methodological issues behind the construction of the Copenhagen Primary Care Differential Count database are reviewed as well as the distribution of characteristics of the population it covers and the variables that are recorded.
Electrical Somatosensory Stimulation in Early Rehabilitation of Arm Paresis After Stroke: A Randomized Controlled Trial:
Emma Ghaziani,Emma Ghaziani,Christian Couppé,Christian Couppé,Volkert Siersma,Mette Søndergaard,Hanne Christensen,Hanne Christensen,S. Peter Magnusson,S. Peter Magnusson +9 more
TL;DR: Providing the present ESS protocol prior to arm training was equally beneficial as arm training alone, and these results are valid for patients with mild-to-moderate stroke and moderate arm impairments.
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Weight history of patients with newly diagnosed Type 2 diabetes
N. de Fine Olivarius,Bjørn Richelsen,Volkert Siersma,Anne Helms Andreasen,Henning Beck-Nielsen +4 more
TL;DR: To estimate and illustrate how the 10 years of weight change immediately preceding diabetes diagnosis vary with weight at the age of 20 years and with socio‐demographic variables, risk factors and comorbidities at diagnosis.
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Structural and cognitive correlates of fatigue in progressive multiple sclerosis.
Anne Katrine Andreasen,Pernille Iversen,Lisbet Marstrand,Volkert Siersma,Hartwig R. Siebner,Finn Sellebjerg +5 more
TL;DR: In this exploratory study of patients with progressive MS, fatigue was related to processing speed and there was a trend towards a relationship between cognitive fatigue and the thickness of cortical areas involved in attentional processes.
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Quantitative Electroencephalography Analyzed by Statistical Pattern Recognition as a Diagnostic and Prognostic Tool in Mild Cognitive Impairment: Results from a Nordic Multicenter Cohort Study.
Malene Schjønning Nielsen,Anja Hviid Simonsen,Volkert Siersma,Knut Engedal,Vesna Jelic,Birgitte Bo Andersen,Mala Naik,Steen G. Hasselbalch,Peter Høgh +8 more
TL;DR: The qEEG method correlates well to CSF AD biomarkers, suggesting association with pathology in AD, and the SPR method was superior to the visual EEG analysis.
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