Evidence mapPaperPMID 38692728Full record

ArticleBMJ open2024

Effects of physiotherapy and home-based training in parkinsonian syndromes: protocol for a randomised controlled trial (MobilityAPP).

Cecilia Raccagni, Victoria Sidoroff, Anisoara Paraschiv-Ionescu, Nils Roth, Gudrun Schönherr, Björn Eskofier, Heiko Gassner, Felix Kluge, Francesco Teatini, Klaus Seppi and 5 more

Registry-linked trialOpen access · goldAbstract readClinical Trial Protocol
In one paragraph

Article in BMJ open, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT04608604 (Mobility in Atypical Parkinsonism), which is not on this map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
1.8field-weighted citation impact, top 15% of its field
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.

NCT04608604 nacompletednot on this map

Mobility in Atypical Parkinsonism: a Randomized Trial of Physiotherapy

TypeinterventionalSponsorVictoria SidoroffRan2021 to 2025Enrolled180ConditionsMultiple System Atrophy, Parkinson Variant (Disorder), Parkinson Disease, Progressive Supranuclear PalsyArmsPhysiotherapy
3 · Its place in the literature

Who cites it

4 citing papers in PubMed, 5 citations in OpenAlex.

  1. Trial
  2. Article
  3. Article
  4. 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 at 8 institutions in 6 countries.

Cecilia RaccagniDepartment of Neurology, Provincial Hospital of Bolzano (SABES-ASDAA), Lehrkrankenhaus der Paracelsus Medizinischen Privatuniversität, Bolzano, Italy.ORCID 0000-0002-6857-2860
Victoria SidoroffDepartment of Neurology, Medical University of Innsbruck, Innsbruck, Austria.
Anisoara Paraschiv-IonescuEcole Polytechnique Federale de Lausanne, Lausanne, Switzerland.
Nils RothArtificial Intelligence in Biomedical Engineering, FAU, Erlangen, Germany.
Gudrun SchönherrDepartment of Neurology, Medical University of Innsbruck, Innsbruck, Austria.
Björn EskofierFriedrich-Alexander-Universität Erlangen-Nürnberg, Erlangen, Germany.
Heiko GassnerDepartment of Molecular Neurology, Erlangen University Hospital, Erlangen, Germany.
Felix KlugeMachine Learning and Data Analytics Lab, Department of Computer Science, Friedrich-Alexander-Universität Erlangen-Nürnberg, Erlangen, Germany.
Francesco TeatiniDepartment of Neurology, Provincial Hospital of Bolzano (SABES-ASDAA), Lehrkrankenhaus der Paracelsus Medizinischen Privatuniversität, Bolzano, Italy.
Klaus SeppiDepartment of Neurology, Medical University of Innsbruck, Innsbruck, Austria.
Georg GoebelDepartment of Neurology, Medical University of Innsbruck, Innsbruck, Austria.
David H BenningerService de Neurologie, Départment des Neurosciences Cliniques, Centre Hospitalier Universitaire Vaudois, Lausanne, Switzerland.
Kamiar AminianEcole Polytechnique Federale de Lausanne, Lausanne, Switzerland jochen.klucken@uni.lu kamiar.aminian@epfl.ch.ORCID 0000-0002-6582-5375
Jochen KluckenDepartment of Molecular Neurology, Friedrich-Alexander University Erlangen, Nürnberg, Germany jochen.klucken@uni.lu kamiar.aminian@epfl.ch.ORCID 0000-0001-6645-9437
Gregor WenningDepartment of Neurology, Medical University of Innsbruck, Innsbruck, Austria.
Innsbruck Medical University · ATÉcole Polytechnique Fédérale de Lausanne · CHFriedrich-Alexander-Universität Erlangen-Nürnberg · DEArtificial Intelligence in Medicine (Canada) · CACentre Hospitalier de Luxembourg · LUOspedale di Bolzano · ITUniversitätsklinikum Erlangen · DEUniversity Hospital of Lausanne · CH

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionGait and mobility impairment are pivotal signs of parkinsonism, and they are particularly severe in atypical parkinsonian disorders including multiple system atrophy (MSA) and progressive supranuclear palsy (PSP). A pilot study demonstrated a significant improvement of gait in patients with MSA of parkinsonian type (MSA-P) after physiotherapy and matching home-based exercise, as reflected by sensor-based gait parameters. In this study, we aim to investigate whether a gait-focused physiotherapy (GPT) and matching home-based exercise lead to a greater improvement of gait performance compared with a standard physiotherapy/home-based exercise programme (standard physiotherapy, SPT). METHODS AND ANALYSIS: This protocol was deployed to evaluate the effects of a GPT versus an active control undergoing SPT and matching home-based exercise with regard to laboratory gait parameters, physical activity measures and clinical scales in patients with Parkinson's disease (PD), MSA-P and PSP. The primary outcomes of the trial are sensor-based laboratory gait parameters, while the secondary outcome measures comprise real-world derived parameters, clinical rating scales and patient questionnaires. We aim to enrol 48 patients per disease group into this double-blind, randomised-controlled trial. The study starts with a 1 week wearable sensor-based monitoring of physical activity. After randomisation, patients undergo a 2 week daily inpatient physiotherapy, followed by 5 week matching unsupervised home-based training. A 1 week physical activity monitoring is repeated during the last week of intervention. ETHICS AND DISSEMINATION: This study, registered as 'Mobility in Atypical Parkinsonism: a Trial of Physiotherapy (Mobility_APP)' at clinicaltrials.gov (NCT04608604), received ethics approval by local committees of the involved centres. The patient's recruitment takes place at the Movement Disorders Units of Innsbruck (Austria), Erlangen (Germany), Lausanne (Switzerland), Luxembourg (Luxembourg) and Bolzano (Italy). The data resulting from this project will be submitted to peer-reviewed journals, presented at international congresses and made publicly available at the end of the trial. TRIAL REGISTRATION NUMBER: NCT04608604.

Indexed as

Exercise TherapyParkinsonian DisordersPhysical Therapy ModalitiesAgedDouble-Blind MethodFemaleGaitGait Disorders, NeurologicHome Care ServicesHumansMaleMultiple System AtrophyParkinson DiseaseRandomized Controlled Trials as TopicSupranuclear Palsy, ProgressiveGait AnalysisMultiple System AtrophyParkinson-s diseaseRehabilitation medicine

Identifiers

PMID38692728
PMCPMC11086482
OpenAlexW4396566538

What Socratic holds

Textmetadata
LicenceCC BY-NC
Read underepoch 390

Registered trials

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 Socratic graph.