Evidence map›Paper›PMID 38859620›Full record

Observational studyEuropean journal of neurology2024

Mobile digital gait analysis captures effects of botulinum toxin in hereditary spastic paraplegia.

Alzhraa A Ibrahim, Malte Ollenschläger, Stephan Klebe, Rebecca Schüle, Nicole Jeschonneck, Melanie Kellner, Evelyn Loris, Teresa Greinwalder, Bjoern M Eskofier, Jürgen Winkler and 2 more

Abstract readObservational StudyMulticenter Study
In one paragraph

Observational study in European journal of neurology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed, 1 pooled it
–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

7 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Walking as a Window to the Brain: Redefining Gait in Neurology.Medical sciences (Basel, Switzerland) · 2026
    Review
  3. Article
  4. Hereditary spastic paraplegia: from decades of therapy to future innovations.Therapeutic advances in neurological disorders · 2026
    Review
  5. Article
  6. Review
  7. Observational
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

12 authors.

Alzhraa A IbrahimDepartment of Molecular Neurology, Friedrich-Alexander-Universität Erlangen-Nürnberg, Erlangen, Germany.
Malte OllenschlägerDepartment of Molecular Neurology, Friedrich-Alexander-Universität Erlangen-Nürnberg, Erlangen, Germany.
Stephan KlebeDepartment of Neurology, University Hospital Essen, Essen, Germany.
Rebecca SchüleDepartment of Neurodegenerative Diseases, Hertie Institute for Clinical Brain Research and Center of Neurology, University of Tübingen, Tübingen, Germany.
Nicole JeschonneckDepartment of Neurology, University Hospital Essen, Essen, Germany.
Melanie KellnerDepartment of Neurodegenerative Diseases, Hertie Institute for Clinical Brain Research and Center of Neurology, University of Tübingen, Tübingen, Germany.
Evelyn LorisDepartment of Molecular Neurology, Friedrich-Alexander-Universität Erlangen-Nürnberg, Erlangen, Germany.
Teresa GreinwalderDepartment of Molecular Neurology, Friedrich-Alexander-Universität Erlangen-Nürnberg, Erlangen, Germany.
Bjoern M EskofierMachine Learning and Data Analytics Lab, Department of Artificial Intelligence in Biomedical Engineering, Friedrich-Alexander-Universität Erlangen-Nürnberg, Erlangen, Germany.
Jürgen WinklerDepartment of Molecular Neurology, Friedrich-Alexander-Universität Erlangen-Nürnberg, Erlangen, Germany.
Heiko GaßnerDepartment of Molecular Neurology, Friedrich-Alexander-Universität Erlangen-Nürnberg, Erlangen, Germany.ORCID 0000-0003-2037-9460
Martin RegensburgerDepartment of Molecular Neurology, Friedrich-Alexander-Universität Erlangen-Nürnberg, Erlangen, Germany.ORCID 0000-0002-2172-7386

Funding

Bundesministerium für Bildung und Forschung 01EO2105Bundesministerium für Bildung und Forschung 01GM1905ABundesministerium für Bildung und Forschung 01GM1905CBundesministerium für Bildung und Forschung 01GM2209ABundesministerium für Bildung und Forschung 01GM2209BBundesministerium für Bildung und Forschung 01KU2110Deutsche Forschungsgemeinschaft 270949263/GRK2162Deutsche Forschungsgemeinschaft 441409627Deutsche Forschungsgemeinschaft 442419336Deutsche Forschungsgemeinschaft SFB 1483Else Kröner-Fresenius-StiftungEuropean Reference Network for Rare Neurological Diseases (ERN-RND)Förderverein für HSP-ForschungForschungsstiftung Medizin am Universitätsklinikum Erlangen
6 · The paper itself

Abstract

background and purposeHereditary spastic paraplegias (HSPs) comprise a group of inherited neurodegenerative disorders characterized by progressive spasticity and weakness. Botulinum toxin has been approved for lower limb spasticity following stroke and cerebral palsy, but its effects in HSPs remain underexplored. We aimed to characterize the effects of botulinum toxin on clinical, gait, and patient-reported outcomes in HSP patients and explore the potential of mobile digital gait analysis to monitor treatment effects and predict treatment response.

methodsWe conducted a prospective, observational, multicenter study involving ambulatory HSP patients treated with botulinum toxin tailored to individual goals. Comparing data at baseline, after 1 month, and after 3 months, treatment response was assessed using clinical parameters, goal attainment scaling, and mobile digital gait analysis. Machine learning algorithms were used for predicting individual goal attainment based on baseline parameters.

resultsA total of 56 patients were enrolled. Despite the heterogeneity of treatment goals and targeted muscles, botulinum toxin led to a significant improvement in specific clinical parameters and an improvement in specific gait characteristics, peaking at the 1-month and declining by the 3-month follow-up. Significant correlations were identified between gait parameters and clinical scores. With a mean balanced accuracy of 66%, machine learning algorithms identified important denominators to predict treatment response.

conclusionsOur study provides evidence supporting the beneficial effects of botulinum toxin in HSP when applied according to individual treatment goals. The use of mobile digital gait analysis and machine learning represents a novel approach for monitoring treatment effects and predicting treatment response.

Indexed as

Gait AnalysisSpastic Paraplegia, HereditaryAdultAgedBotulinum ToxinsBotulinum Toxins, Type AFemaleHumansMaleMiddle AgedNeuromuscular AgentsProspective StudiesTreatment OutcomeYoung AdultBotulinum ToxinsBotulinum Toxins, Type ANeuromuscular Agentsbotulinum toxingait analysislower extremitymuscle spasticityspastic paraplegia, hereditary

Identifiers

PMID38859620
PMCPMC11236064

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.