Publications by authors named "Martin Cihak"
Four questions to predict cognitive decline in de novo Parkinson's disease.
NPJ Parkinsons Dis
April 2025
Early identification of cognitive decline (CD) in de novo Parkinson's disease (PD) is crucial for choosing appropriate therapies and recruiting for clinical trials. However, existing prognostic models lack flexibility, scalability and require costly instrumentation. This study explores the utility of standard clinical questionnaires and criteria to predict CD in de novo PD.
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- Various methods are used to assess tremor severity in essential tremor (ET), but their relationship to daily living impairments isn't fully understood.
- The study examined 40 ET patients to find out which predictors are most effective for evaluating their ability to perform daily activities using several assessment tools.
- Results showed that the Essential Tremor Rating Assessment Scale (TETRAS) Performance Subscale was able to explain nearly 70% of daily activity impairment in ET patients, and adding other assessments didn’t significantly improve predictions.
Objective: This study aims to evaluate the efficacy of the Uniform Data Set (UDS) 2 battery in distinguishing between individuals with mild cognitive impairment (MCI) attributable to Alzheimer's disease (MCI-AD) and those with MCI due to other causes (MCI-nonAD), based on contemporary AT(N) biomarker criteria. Despite the implementation of the novel UDS 3 battery, the UDS 2 battery is still used in several non-English-speaking countries.
Methods: We employed a cross-sectional design.
Methacrylate monolithic columns of 320 microm I.D. for capillary liquid chromatography.
J Chromatogr A
February 2002
Monolithic capillary columns (320 microm I.D.) were prepared for capillary liquid chromatography (CLC) by radical polymerization of butylmethacrylate (BMA) and ethylenedimethacrylate (EDMA) in the presence of a porogen solvent containing propan-1-ol, butane-1,4-diol and water.
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