Evidence map›Paper›PMID 37002505›Full record

ArticleCerebellum (London, England)2024

SCAview: an Intuitive Visual Approach to the Integrative Analysis of Clinical Data in Spinocerebellar Ataxias.

Mischa Uebachs, Philipp Wegner, Sebastian Schaaf, Simon Kugai, Heike Jacobi, Sheng-Han Kuo, Tetsuo Ashizawa, Juliane Fluck, EUROSCA study group, ESMI study group and 5 more

Abstract read
In one paragraph

Article in Cerebellum (London, England), 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Hereditary Ataxias in Argentina.Cerebellum (London, England) · 2025
    Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

15 authors.

Mischa UebachsDepartment of Neurology, University Hospital Bonn, Bonn, Germany.
Philipp WegnerFraunhofer Institute for Algorithms and Scientific Computing (SCAI), St. Augustin, Germany.
Sebastian SchaafBioinformatics Group, Department of Computer Science, Albert-Ludwigs-University Freiburg, Freiburg, Germany.
Simon KugaiFraunhofer Institute for Algorithms and Scientific Computing (SCAI), St. Augustin, Germany.
Heike JacobiDepartment of Neurology, University Hospital Heidelberg, Heidelberg, Germany.
Sheng-Han KuoDepartment of Neurology, Columbia University, New York, NY, USA.
Tetsuo AshizawaDepartment of Neurology, Houston Methodist Research Institute, Houston, TX, USA.
Juliane FluckZB Med, Information Centre for Life Sciences, Cologne, Germany.
EUROSCA study group
ESMI study group
RISCA study group
CRC-SCA study group
SCA Registry study group
Thomas KlockgetherDepartment of Neurology, University Hospital Bonn, Bonn, Germany.
Jennifer FaberDepartment of Neurology, University Hospital Bonn, Bonn, Germany. jennifer.faber@dzne.de.

Funding

Supplementary funding for U01NS104326 Clinical Trial Readiness for SCA1 and SCA3 (“READISCA”)U01NS104326 · NINDS · METHODIST HOSPITAL RESEARCH INSTITUTE · PI ASHIZAWA, TETSUO, OZ, GULIN · 2018 to 2022
$6.1M
Understanding the long term impact of COVID-19 on the brain through advanced MR imaging and spectroscopyR01NS124065 · NINDS · UNIVERSITY OF MINNESOTA · PI KANTARCI, KEJAL, OZ, GULIN · 2021 to 2025
$3.7M
Targeting Cerebellar Endoplasmic Reticulum Calcium Handling in Essential TremorR01NS124854 · NINDS · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI PHYLLIS L FAUST, Sheng-Han Kuo · 2022 to 2026
$2.9M
Targeting Cerebellar Excitatory Synapses for Tremor ProgressionR01NS118179 · NINDS · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI KUO, SHENG-HAN · 2020 to 2024
$2.2M
Cerebellar Circuitry in the Pathophysiology of TremorR01NS104423 · NINDS · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI KUO, SHENG-HAN · 2018 to 2022
$2.0M
Genetic mechanism of conserved ancestral haplotype in SCA10R01NS115002 · NINDS · METHODIST HOSPITAL RESEARCH INSTITUTE · PI ASHIZAWA, TETSUO, JARDIM, LAURA B · 2020 to 2023
$637k
NINDS NIH HHS R01 NS104423NINDS NIH HHS R01 NS115002NINDS NIH HHS R01 NS118179NINDS NIH HHS R01 NS124065NINDS NIH HHS R01 NS124854NINDS NIH HHS U01 NS104326
6 · The paper itself

Abstract

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. Access to SCAview can be requested via the Ataxia Global Initiative and is free of charge.

Indexed as

Spinocerebellar AtaxiasCohort StudiesHumansSoftwareObservational studiesSpinocerebellar ataxia (SCA)Visualization

Identifiers

PMID37002505
PMCPMC10544694

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.