Evidence map›Paper›PMID 40734369›Full record

ArticleJMIR mHealth and uHealth2025

Minimal Clinically Important Difference of Average Daily Steps Measured Through a Consumer Smartwatch in People With Mild-to-Moderate Parkinson Disease: Cross-Sectional Study.

Edoardo Bianchini, Marika Alborghetti, Silvia Galli, Clint Hansen, Alessandro Zampogna, Antonio Suppa, Marco Salvetti, Francesco Ernesto Pontieri, Domiziana Rinaldi, Nicolas Vuillerme

Abstract read
In one paragraph

Article in JMIR mHealth and uHealth, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

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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.

Edoardo BianchiniDepartment of Neuroscience, Mental Health and Sensory Organs (NESMOS), Sapienza University of Rome, Via di Grottarossa 1035, Rome, 00189, Italy, 39 0633775579.ORCID 0000-0001-7955-3369
Marika AlborghettiDepartment of Neuroscience, Mental Health and Sensory Organs (NESMOS), Sapienza University of Rome, Via di Grottarossa 1035, Rome, 00189, Italy, 39 0633775579.ORCID 0000-0001-9327-6660
Silvia GalliDepartment of Neuroscience, Mental Health and Sensory Organs (NESMOS), Sapienza University of Rome, Via di Grottarossa 1035, Rome, 00189, Italy, 39 0633775579.ORCID 0009-0004-2036-4650
Clint HansenAGEIS, Université Grenoble Alpes, Grenoble, France.ORCID 0000-0003-4813-3868
Alessandro ZampognaDepartment of Human Neurosciences, Sapienza University of Rome, Rome, Italy.ORCID 0000-0002-0227-1993
Antonio SuppaDepartment of Human Neurosciences, Sapienza University of Rome, Rome, Italy.ORCID 0000-0001-9903-5550
Marco SalvettiDepartment of Neuroscience, Mental Health and Sensory Organs (NESMOS), Sapienza University of Rome, Via di Grottarossa 1035, Rome, 00189, Italy, 39 0633775579.ORCID 0000-0002-0501-8803
Francesco Ernesto PontieriDepartment of Neuroscience, Mental Health and Sensory Organs (NESMOS), Sapienza University of Rome, Via di Grottarossa 1035, Rome, 00189, Italy, 39 0633775579.ORCID 0000-0002-8693-8432
Domiziana RinaldiDepartment of Neuroscience, Mental Health and Sensory Organs (NESMOS), Sapienza University of Rome, Via di Grottarossa 1035, Rome, 00189, Italy, 39 0633775579.ORCID 0000-0002-8011-087X
Nicolas VuillermeAGEIS, Université Grenoble Alpes, Grenoble, France.ORCID 0000-0003-3773-393X

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Recent studies demonstrated the validity, reliability, and accuracy of consumer smartwatches for measuring daily steps in people with Parkinson disease (PD). However, no study to date has estimated the minimal clinically important difference (MCID) for average daily steps (avDS), measured through a consumer smartwatch in people with PD. Objective: This study aimed to calculate the MCID of avDS, measured through a commercial smartwatch (Garmin Vivosmart 4) in people with PD. Methods: People with PD with a disease stage <4, without cognitive impairment, and who were able to walk unaided, wore a Garmin Vivosmart 4 smartwatch for 5 consecutive days on the wrist least affected by the disease, allowing the computation of avDS. To define the 3 levels of MCID for avDS, we used an anchor-based method linked to: (1) scales capturing subtle changes in global mobility and motor functions, (2) clinical and health-related measures, and (3) disease-related patient-reported outcomes. Linear regressions, Student t test, and ANOVA were used to estimate the minimal change in avDS based on anchors relevant change. For each level, the overall MCID was calculated as the average of the variables included, and the range was reported. Results: A total of 100 people with PD were enrolled. Participants took on average 5949 (SD 3034) daily steps, ranging from 357 to 12,620. The MCID of avDS anchored to standardized measures of motor symptoms and mobility was 581 steps/day (range  554-608) or around 10% of mean avDS in our population. The MCID of avDS anchored to clinical and health-related variables was 1200 steps/day (range  350-1683), or around 20% of mean avDS in our population. Finally, the MCID of avDS anchored to disease-related patient-reported outcomes was 1592 steps/day (range 594-2589), or around 27% of the mean avDS in our population. Conclusions: These findings could be relevant for designing future clinical trials involving avDS as a digital mobility outcome in daily life for people with PD and evaluating the effectiveness of the intervention promoting free-living walking in this population.

Indexed as

Minimal Clinically Important DifferenceParkinson DiseaseWalkingWearable Electronic DevicesAgedCross-Sectional StudiesFemaleHumansMaleMiddle AgedReproducibility of Resultsactivity monitorcross sectional studydigital healthdigital mobility outcomeseffectivenessgaitlinear regressionMCIDminimal clinically important differencemotor symptomsParkinson’s diseasesensorssmartwatchstep countwearables

Identifiers

PMID40734369
PMCPMC12306920

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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.