Evidence map›Paper›PMID 33092143›Full record

ArticleSensors (Basel, Switzerland)2020

Toward a Regulatory Qualification of Real-World Mobility Performance Biomarkers in Parkinson's Patients Using Digital Mobility Outcomes.

Marco Viceconti, Sabina Hernandez Penna, Wilhelmus Dartee, Claudia Mazzà, Brian Caulfield, Clemens Becker, Walter Maetzler, Judith Garcia-Aymerich, Giorgio Davico, Lynn Rochester

Abstract read
In one paragraph

Article in Sensors (Basel, Switzerland), 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 34 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
34citing 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

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

  1. Digital Outcomes as Biomarkers of Disease Progression in Early Parkinson's Disease: A Systematic Review.Movement disorders : official journal of the Movement Disorder Society · 2025
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  20. Healthcare Providers' Knowledge of Value-Based Care in Germany: An Adapted, Mixed-Methods Approach.International journal of environmental research and public health · 2022
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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

10 authors.

Marco VicecontiDepartment of Industrial Engineering, Alma Mater Studiorum-University of Bologna, 40136 Bologna, Italy.ORCID 0000-0002-2293-1530
Sabina Hernandez PennaRegulatory Affairs, Novartis Pharma AG, 4001 Basel, Switzerland.
Wilhelmus DarteeRegulatory Affairs, Novartis Pharma AG, 4001 Basel, Switzerland.
Claudia MazzàDepartment of Mechanical Engineering and Insigneo Institute for in silico Medicine, University of Sheffield, Sheffield S10 2TN, UK.ORCID 0000-0002-5215-1746
Brian CaulfieldSFI Insight Centre for Data Analytics, University College Dublin, 716 7777 Dublin, Ireland.
Clemens BeckerDepartment of Geriatric Medicine, Robert Bosch Gesellschaft für Medizinische Forschung mbH, 70376 Stuttgart, Germany.
Walter MaetzlerDepartment of Neurology, Christian-Albrechts-Universität zu Kiel, 24118 Kiel, Germany.
Judith Garcia-AymerichBarcelona Institute for Global Health, 08003 Barcelona, Spain.
Giorgio DavicoDepartment of Industrial Engineering, Alma Mater Studiorum-University of Bologna, 40136 Bologna, Italy.ORCID 0000-0002-2046-529X
Lynn RochesterInstitute of Translational and Clinical Research, Newcastle University, Newcastle NE1 7RU, UK.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Wearable inertial sensors can be used to monitor mobility in real-world settings over extended periods. Although these technologies are widely used in human movement research, they have not yet been qualified by drug regulatory agencies for their use in regulatory drug trials. This is because the first generation of these sensors was unreliable when used on slow-walking subjects. However, intense research in this area is now offering a new generation of algorithms to quantify Digital Mobility Outcomes so accurate they may be considered as biomarkers in regulatory drug trials. This perspective paper summarises the work in the Mobilise-D consortium around the regulatory qualification of the use of wearable sensors to quantify real-world mobility performance in patients affected by Parkinson's Disease. The paper describes the qualification strategy and both the technical and clinical validation plans, which have recently received highly supportive qualification advice from the European Medicines Agency. The scope is to provide detailed guidance for the preparation of similar qualification submissions to broaden the use of real-world mobility assessment in regulatory drug trials.

Indexed as

BiomarkersParkinson DiseaseWalkingAlgorithmsHumansMovementBiomarkersinertial measurement unitmobility performanceregulatory science

Identifiers

PMID33092143
PMCPMC7589106

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.