Evidence map›Paper›PMID 34857567›Full record

Observational studyBMJ open2021

Technical validation of real-world monitoring of gait: a multicentric observational study.

Claudia Mazzà, Lisa Alcock, Kamiar Aminian, Clemens Becker, Stefano Bertuletti, Tecla Bonci, Philip Brown, Marina Brozgol, Ellen Buckley, Anne-Elie Carsin and 47 more

Registry-linked trialOpen access · goldAbstract readObservational Study
In one paragraph

Observational study in BMJ open, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT06666816 (Observational Study for the Identification of Fatigue and Gait Biomarkers in Populations With Neuromuscular Pathologies in the Clinical Context and Daily Life), which is not on this map. Cited by 65 papers, 4 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
65citing papers in PubMed, 4 pooled it
35.2field-weighted citation impact, top 1% 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.

NCT06666816 recruitingnot on this map

Observational Study for the Identification of Fatigue and Gait Biomarkers in Populations With Neuromuscular Pathologies in the Clinical Context and Daily Life

TypeobservationalSponsorIRCCS Eugenio MedeaRan2017 to 2026Enrolled120ConditionsMuscular Dystrophies, Myopathies, Spinal Muscular Atrophy (SMA), Charcot Marie Tooth DiseaseArmsinapplicable
3 · Its place in the literature

Who cites it

65 citing papers in PubMed, 4 syntheses or guidelines pooled it, 116 citations in OpenAlex.

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  18. Digital assessment of real-world walking in people with impaired mobility: How many hours and days are needed?The international journal of behavioral nutrition and physical activity · 2025
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5 more citing papers are in PubMed but not listed here.

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

57 authors at 19 institutions in 9 countries.

Claudia MazzàINSIGNEO Institute for in silico Medicine, The University of Sheffield, Sheffield, UK c.mazza@sheffield.ac.uk.ORCID 0000-0002-5215-1746
Lisa AlcockTranslational and Clinical Research Institute, Faculty of Medical Sciences, Newcastle University, Newcastle upon Tyne, UK.
Kamiar AminianLaboratory of Movement Analysis and Measurement, Ecole Polytechnique Federale de Lausanne, Lausanne, Switzerland.
Clemens BeckerRobert Bosch Gesellschaft für Medizinische Forschung, Stuttgart, Germany.
Stefano BertulettiDepartment of Biomedical Sciences, University of Sassari, Sassari, Sardegna, Italy.
Tecla BonciINSIGNEO Institute for in silico Medicine, The University of Sheffield, Sheffield, UK.
Philip BrownThe Newcastle Upon Tyne Hospitals NHS Foundation Trust, Newcastle Upon Tyne, UK.
Marina BrozgolCenter for the Study of Movement, Cognition and Mobility, Neurological Institute, Tel Aviv Sourasky Medical Center, Tel Aviv, Israel.
Ellen BuckleyINSIGNEO Institute for in silico Medicine, The University of Sheffield, Sheffield, UK.ORCID 0000-0002-0968-6286
Anne-Elie CarsinISGlobal, Barcelona, Spain.ORCID 0000-0003-3981-977X
Marco CarusoDipartimento di Elettronica e Telecomunicazioni, Politecnico di Torino, Torino, Italy.
Brian CaulfieldInsight Centre for Data Analytics, O'Brien Science Centre, University College Dublin, Dublin, Ireland.
Andrea CereattiDipartimento di Elettronica e Telecomunicazioni, Politecnico di Torino, Torino, Italy.
Lorenzo ChiariDepartment of Electrical, Electronic and Information Engineering «Guglielmo Marconi», University of Bologna, Bologna, Italy.
Nikolaos ChynkiamisDepartment of Sport, Exercise and Rehabilitation, Northumbria University Newcastle, Newcastle upon Tyne, UK.
Fabio CiravegnaINSIGNEO Institute for in silico Medicine, The University of Sheffield, Sheffield, UK.
Silvia Del DinTranslational and Clinical Research Institute, Faculty of Medical Sciences, Newcastle University, Newcastle upon Tyne, UK.
Björn EskofierMachine Learning and Data Analytics Lab, Department of Artificial Intelligence in Biomedical Engineering, Friedrich-Alexander-Universität Erlangen-Nürnberg, Erlangen, Germany.
Jordi EversMcRoberts BV, Den Haag, Zuid-Holland, Netherlands.
Judith Garcia AymerichISGlobal, Barcelona, Spain.
Eran GazitCenter for the Study of Movement, Cognition and Mobility, Neurological Institute, Tel Aviv Sourasky Medical Center, Tel Aviv, Israel.
Clint HansenDepartment of Neurology, University Medical Center Schleswig-Holstein Campus Kiel, Kiel, Germany.ORCID 0000-0003-4813-3868
Jeffrey M HausdorffCenter for the Study of Movement, Cognition and Mobility, Neurological Institute, Tel Aviv Sourasky Medical Center, Tel Aviv, Israel.
Jorunn L HelbostadDepartment of Neuromedicine and Movement Science, Norwegian University of Science and Technology, Trondheim, Norway.
Hugo HidenSchool of Computing, Newcastle University, Newcastle upon Tyne, UK.
Emily HumeDepartment of Sport, Exercise and Rehabilitation, Northumbria University Newcastle, Newcastle upon Tyne, UK.
Anisoara Paraschiv-IonescuLaboratory of Movement Analysis and Measurement, Ecole Polytechnique Federale de Lausanne, Lausanne, Switzerland.
Neil IresonINSIGNEO Institute for in silico Medicine, The University of Sheffield, Sheffield, UK.
Alison KeoghInsight Centre for Data Analytics, O'Brien Science Centre, University College Dublin, Dublin, Ireland.
Cameron KirkTranslational and Clinical Research Institute, Faculty of Medical Sciences, Newcastle University, Newcastle upon Tyne, UK.
Felix KlugeMachine Learning and Data Analytics Lab, Department of Artificial Intelligence in Biomedical Engineering, Friedrich-Alexander-Universität Erlangen-Nürnberg, Erlangen, Germany.
Sarah KochISGlobal, Barcelona, Spain.
Arne KüderleMachine Learning and Data Analytics Lab, Department of Artificial Intelligence in Biomedical Engineering, Friedrich-Alexander-Universität Erlangen-Nürnberg, Erlangen, Germany.
Vitaveska LanfranchiINSIGNEO Institute for in silico Medicine, The University of Sheffield, Sheffield, UK.
Walter MaetzlerDepartment of Neurology, University Medical Center Schleswig-Holstein Campus Kiel, Kiel, Germany.
M Encarna Micó-AmigoTranslational and Clinical Research Institute, Faculty of Medical Sciences, Newcastle University, Newcastle upon Tyne, UK.
Arne MuellerNovartis Institutes of Biomedical Research, Novartis Pharma AG, Basel, Switzerland.
Isabel NeatrourTranslational and Clinical Research Institute, Faculty of Medical Sciences, Newcastle University, Newcastle upon Tyne, UK.
Martijn NiessenMcRoberts BV, Den Haag, Zuid-Holland, Netherlands.
Luca PalmeriniDepartment of Electrical, Electronic and Information Engineering «Guglielmo Marconi», University of Bologna, Bologna, Italy.
Lucas PluimgraaffMcRoberts BV, Den Haag, Zuid-Holland, Netherlands.
Luca ReggiHealth Sciences and Technologies-Interdepartmental Center for Industrial Research (CIRI-SDV), University of Bologna, Bologna, Italy.
Francesca SalisDepartment of Biomedical Sciences, University of Sassari, Sassari, Sardegna, Italy.
Lars SchwickertRobert Bosch Gesellschaft für Medizinische Forschung, Stuttgart, Germany.
Kirsty ScottINSIGNEO Institute for in silico Medicine, The University of Sheffield, Sheffield, UK.
Basil SharrackDepartment of Neuroscience and Sheffield NIHR Translational Neuroscience BRC, Sheffield Teaching Hospitals NHS Foundation Trust, Sheffield, UK.
Henrik SillenDigital Health R&D, AstraZeneca Sweden, Sodertalje, Sweden.
David SingletonInsight Centre for Data Analytics, O'Brien Science Centre, University College Dublin, Dublin, Ireland.
Abolfazi SoltaniLaboratory of Movement Analysis and Measurement, Ecole Polytechnique Federale de Lausanne, Lausanne, Switzerland.
Kristin TaraldsenDepartment of Neuromedicine and Movement Science, Norwegian University of Science and Technology, Trondheim, Norway.
Martin UllrichMachine Learning and Data Analytics Lab, Department of Artificial Intelligence in Biomedical Engineering, Friedrich-Alexander-Universität Erlangen-Nürnberg, Erlangen, Germany.
Linda Van GelderINSIGNEO Institute for in silico Medicine, The University of Sheffield, Sheffield, UK.
Beatrix VereijkenDepartment of Neuromedicine and Movement Science, Norwegian University of Science and Technology, Trondheim, Norway.
Ioannis VogiatzisDepartment of Sport, Exercise and Rehabilitation, Northumbria University Newcastle, Newcastle upon Tyne, UK.
Elke WarmerdamDepartment of Neurology, University Medical Center Schleswig-Holstein Campus Kiel, Kiel, Germany.
Alison YarnallTranslational and Clinical Research Institute, Faculty of Medical Sciences, Newcastle University, Newcastle upon Tyne, UK.
Lynn RochesterTranslational and Clinical Research Institute, Faculty of Medical Sciences, Newcastle University, Newcastle upon Tyne, UK.
Insigneo · GBNewcastle University · GBFriedrich-Alexander-Universität Erlangen-Nürnberg · DEÉcole Polytechnique Fédérale de Lausanne · CHNewcastle upon Tyne Hospitals NHS Foundation Trust · GBNorthumbria University · GBNorwegian University of Science and Technology · NOUniversitat Pompeu Fabra · ESUniversity College Dublin · IEMarconi University · ITPolitecnico di Torino · ITRobert Bosch Stiftung · DETel Aviv Sourasky Medical Center · ILUniversity of Sassari · ITAstraZeneca (Sweden) · SENovartis (Switzerland) · CHSheffield Teaching Hospitals NHS Foundation Trust · GBTel Aviv University · ILUniversity of Bologna · IT

Funding

Wellcome Trust
6 · The paper itself

Abstract

introductionExisting mobility endpoints based on functional performance, physical assessments and patient self-reporting are often affected by lack of sensitivity, limiting their utility in clinical practice. Wearable devices including inertial measurement units (IMUs) can overcome these limitations by quantifying digital mobility outcomes (DMOs) both during supervised structured assessments and in real-world conditions. The validity of IMU-based methods in the real-world, however, is still limited in patient populations. Rigorous validation procedures should cover the device metrological verification, the validation of the algorithms for the DMOs computation specifically for the population of interest and in daily life situations, and the users' perspective on the device. METHODS AND ANALYSIS: This protocol was designed to establish the technical validity and patient acceptability of the approach used to quantify digital mobility in the real world by Mobilise-D, a consortium funded by the European Union (EU) as part of the Innovative Medicine Initiative, aiming at fostering regulatory approval and clinical adoption of DMOs.After defining the procedures for the metrological verification of an IMU-based device, the experimental procedures for the validation of algorithms used to calculate the DMOs are presented. These include laboratory and real-world assessment in 120 participants from five groups: healthy older adults; chronic obstructive pulmonary disease, Parkinson's disease, multiple sclerosis, proximal femoral fracture and congestive heart failure. DMOs extracted from the monitoring device will be compared with those from different reference systems, chosen according to the contexts of observation. Questionnaires and interviews will evaluate the users' perspective on the deployed technology and relevance of the mobility assessment. ETHICS AND DISSEMINATION: The study has been granted ethics approval by the centre's committees (London-Bloomsbury Research Ethics committee; Helsinki Committee, Tel Aviv Sourasky Medical Centre; Medical Faculties of The University of Tübingen and of the University of Kiel). Data and algorithms will be made publicly available. TRIAL REGISTRATION NUMBER: ISRCTN (12246987).

Indexed as

Multiple SclerosisParkinson DiseaseWearable Electronic DevicesAgedGaitHumansResearch Designchronic airways diseaseheart failurehipmultiple sclerosisparkinson-s disease

Identifiers

PMID34857567
PMCPMC8640671
OpenAlexW3216794426

What OpenQuestion 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 OpenQuestion graph.