Evidence map›Paper›PMID 42888878›Full record

ArticleMovement disorders clinical practice2026

Remote Video Assessment of Ataxia via SARA

Rabia Aziza, Elisa Ferrer, Fereshteh Poursaeed, Vivian Maas, Jennifer Faber, Arian Taheri Amin, Katharina Hill, Matthis Synofzik, Lisa H Graf, Dagmar Timmann and 8 more

Abstract read
In one paragraph

Article in Movement disorders clinical practice, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

18 authors.

Rabia AzizaAparito-a wholly owned subsidiary of Eli Lilly and Company, Wrexham, United Kingdom.ORCID https://orcid.org/0000-0003-3461-2622
Elisa FerrerAparito-a wholly owned subsidiary of Eli Lilly and Company, Wrexham, United Kingdom.ORCID https://orcid.org/0000-0001-9345-8659
Fereshteh PoursaeedAparito-a wholly owned subsidiary of Eli Lilly and Company, Wrexham, United Kingdom.ORCID https://orcid.org/0000-0002-9423-7564
Vivian MaasGerman Center for Neurodegenerative Diseases (DZNE), Bonn, Germany.
Jennifer FaberGerman Center for Neurodegenerative Diseases (DZNE), Bonn, Germany.ORCID https://orcid.org/0000-0003-3265-0262
Arian Taheri AminGerman Center for Neurodegenerative Diseases (DZNE), Bonn, Germany.
Katharina HillGerman Center for Neurodegenerative Diseases (DZNE), Bonn, Germany.
Matthis SynofzikCenter for Neurology and Hertie Institute for Clinical Brain Research, University of Tübingen, Tübingen, Germany.ORCID https://orcid.org/0000-0002-2280-7273
Lisa H GrafCenter for Neurology and Hertie Institute for Clinical Brain Research, University of Tübingen, Tübingen, Germany.
Dagmar TimmannDepartment of Neurology and Center for Translational Neuro- and Behavioral Sciences (C-TNBS), Essen University Hospital, University of Duisburg-Essen, Essen, Germany.ORCID https://orcid.org/0000-0003-1935-416X
Andreas ThiemeDepartment of Neurology and Center for Translational Neuro- and Behavioral Sciences (C-TNBS), Essen University Hospital, University of Duisburg-Essen, Essen, Germany.ORCID https://orcid.org/0000-0001-6221-8601
Paola GiuntiAtaxia Centre, Department of Clinical and Movement Neurosciences, UCL Queen Square Institute of Neurology, University College London, London, United Kingdom.
Hector Garcia-MorenoAtaxia Centre, Department of Clinical and Movement Neurosciences, UCL Queen Square Institute of Neurology, University College London, London, United Kingdom.ORCID https://orcid.org/0000-0002-0697-3271
Magda M SantanaCenter for Neuroscience and Cell Biology, University of Coimbra (CNC-UC), Coimbra, Portugal.ORCID https://orcid.org/0000-0003-4076-7516
Jeannette Hübener-SchmidInstitute for Medical Genetics and Applied Genomics, University of Tübingen, Tübingen, Germany.ORCID https://orcid.org/0000-0002-4973-0923
Elin H DaviesAparito-a wholly owned subsidiary of Eli Lilly and Company, Wrexham, United Kingdom.ORCID https://orcid.org/0000-0002-4987-0088
Thomas KlockgetherGerman Center for Neurodegenerative Diseases (DZNE), Bonn, Germany.ORCID https://orcid.org/0000-0001-6174-5442
Marcus Grobe-EinslerGerman Center for Neurodegenerative Diseases (DZNE), Bonn, Germany.ORCID https://orcid.org/0000-0002-1808-2134

Funding

Ataxia UKNational Ataxia Foundation
6 · The paper itself

Abstract

backgroundRemote assessment of ataxia is increasingly important for patient-centered care and clinical research. SARA

objectiveThe aim was to evaluate the correlation of pose-derived gait and stance endpoints from SARA

methodsIn a multisite observational study, participants recorded SARA

resultsWe analyzed 5418 gait and stance videos from 58 participants across 4 sites (gait n = 2205, stance n = 3213). Score distribution was skewed toward lower severity. For gait, clearance variability (ρ = 0.52 [0.37-0.64]) and median-normalized base of support (ρ = 0.51 [0.35-0.66]) correlated most strongly with item ratings, followed by shoulder sway root mean square (ρ = 0.43 [0.24-0.60]). Adjusted foot clearance (worse limb) correlated negatively (ρ = -0.35 [-0.52 to -0.15]). For stance, anteroposterior sway (ρ = 0.51 [0.36-0.65]), leg alignment variability (ρ = 0.51 [0.36-0.65]), and composite sway (ρ = 0.48 [0.32-0.62]) were most associated with severity. Base of support widened monotonically with severity and was the most reliable gait feature (intraclass correlation coefficient [ICC] = 0.88).

conclusionsPose-derived digital endpoints from home-captured SARA

Indexed as

ataxiadigital biomarkersgait analysispose estimationremote assessmentSARAhome

Identifiers

PMID42888878
PMCPMC13675665

What OpenQuestion holds

Textmetadata
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.