AGI members can get access to SCAview by filling out this form. After the application process, you will receive a SCAview account for the time of your AGI membership.
The main user group for SCAview are scientists and clinicians working on spinocerebellar ataxia type 1, 2, 3, and 6. With the tool, you have a unique possibility to browse large SCA1, 2, 3, and 6 datasets.
“With SCAview, we present a prompt and comprehensive tool that enables scientists to browse large datasets of the most common spinocerebellar ataxias intuitively and without technical effort. Basic concept is a visualization of data, with a graphical handling and filtering to select and define subgroups and their comparison. Several plot types to visualize all data points resulting from the selected attributes are provided. The underlying synthetic cohort is based on clinical data from five different European and US longitudinal multicenter cohorts in spinocerebellar ataxia type 1, 2, 3, and 6 (SCA1, 2, 3, and 6) comprising > 1400 patients with overall > 5500 visits. First, we developed a common data model to integrate the clinical, demographic, and characterizing data of each source cohort. Second, the available datasets from each cohort were mapped onto the data model. Third, we created a synthetic cohort based on the cleaned dataset. With SCAview, we demonstrate the feasibility of mapping cohort data from different sources onto a common data model. The resulting browser-based visualization tool with a thoroughly graphical handling of the data offers researchers the unique possibility to visualize relationships and distributions of clinical data, to define subgroups and to further investigate them without any technical effort.”
(Uebachs M, Wegner P, Schaaf S, Kugai S, Jacobi H, Kuo SH, Ashizawa T, Fluck J; EUROSCA study group; ESMI study group; RISCA study group; CRC-SCA study group; SCA Registry study group; Klockgether T, Faber J. SCAview: an Intuitive Visual Approach to the Integrative Analysis of Clinical Data in Spinocerebellar Ataxias. Cerebellum. 2023 Mar 31. doi: 10.1007/s12311-023-01546-0. PMID: 37002505)
Should you have any questions, please don’t hesitate to contact the AGI office.