Evidence map›Paper›PMID 38514860›Full record

ArticlePediatric research2024

Monitoring Activity and Gait in Children (MAGIC) using digital health technologies.

Junrui Di, Pirinka Georgiev Tuttle, Lukas Adamowicz, Wenyi Lin, Hao Zhang, Dimitrios Psaltos, Jessica Selig, Jiawei Bai, F Isik Karahanoglu, Paul Sheriff and 6 more

Registry-linked trialOpen access · hybridAbstract readValidation Study
PubMed Full text at PMC Publisher
In one paragraph

Article in Pediatric research, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT04823650 (Low-Interventional Study to Record Gait and Physical Activity Using ActiGraph Devices in Children Ages 3-17.), which is not on this map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
2.3field-weighted citation impact, top 12% 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.

NCT04823650 completednot on this map

Low-Interventional Study to Record Gait and Physical Activity Using ActiGraph Devices in Children Ages 3-17.

TypeobservationalSponsorPfizerRan2021 to 2024Enrolled87ConditionsChild, Preschool, Child, AdolescentArmsCOHORT A: Actigraph, Panoramic Bracelet and GENEActiv
3 · Its place in the literature

Who cites it

3 citing papers in PubMed, 7 citations in OpenAlex.

  1. Article
  2. Review
  3. Article
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

16 authors at 2 institutions in 1 country.

Junrui Di *Pfizer, Inc., Cambridge, MA, USA. Junrui.Di@pfizer.com.
Pirinka Georgiev Tuttle *Pfizer, Inc., Cambridge, MA, USA. Pirinka.Georgiev@pfizer.com.ORCID 0000-0002-6138-0049
Lukas AdamowiczPfizer, Inc., Cambridge, MA, USA.
Wenyi LinPfizer, Inc., Cambridge, MA, USA.
Hao ZhangPfizer, Inc., Cambridge, MA, USA.
Dimitrios PsaltosPfizer, Inc., Cambridge, MA, USA.
Jessica SeligPfizer, Inc., Cambridge, MA, USA.
Jiawei BaiPfizer, Inc., Cambridge, MA, USA.
F Isik KarahanogluPfizer, Inc., Cambridge, MA, USA.
Paul SheriffPfizer, Inc., Cambridge, MA, USA.
Vijitha SeelamPfizer, Inc., Cambridge, MA, USA.
Bunmi WilliamsPfizer, Inc., Cambridge, MA, USA.
Sana GhafoorPfizer, Inc., Cambridge, MA, USA.
Charmaine DemanuelePfizer, Inc., Cambridge, MA, USA.
Mar SantamariaPfizer, Inc., Cambridge, MA, USA.
Xuemei CaiPfizer, Inc., Cambridge, MA, USA.
Pfizer (United States) · USTufts Medical Center · US

Funding

Pfizer Inc
6 · The paper itself

Abstract

backgroundDigital health technologies (DHTs) can collect gait and physical activity in adults, but limited studies have validated these in children. This study compared gait and physical activity metrics collected using DHTs to those collected by reference comparators during in-clinic sessions, to collect a normative accelerometry dataset, and to evaluate participants' comfort and their compliance in wearing the DHTs at-home.

methodsThe MAGIC (Monitoring Activity and Gait in Children) study was an analytical validation study which enrolled 40, generally healthy participants aged 3-17 years. Gait and physical activity were collected using DHTs in a clinical setting and continuously at-home.

resultsOverall good to excellent agreement was observed between gait metrics extracted with a gait algorithm from a lumbar-worn DHT compared to ground truth reference systems. Majority of participants either "agreed" or "strongly agreed" that wrist and lumbar DHTs were comfortable to wear at home, respectively, with 86% (wrist-worn DHT) and 68% (lumbar-worn DHT) wear-time compliance. Significant differences across age groups were observed in multiple gait and activity metrics obtained at home.

conclusionsOur findings suggest that gait and physical activity data can be collected from DHTs in pediatric populations with high reliability and wear compliance, in-clinic and in home environments.

trial registrationClinicalTrials.gov: NCT04823650 IMPACT: Digital health technologies (DHTs) have been used to collect gait and physical activity in adult populations, but limited studies have validated these metrics in children. The MAGIC study comprehensively validates the performance and feasibility of DHT-measured gait and physical activity in the pediatric population. Our findings suggest that reliable gait and physical activity data can be collected from DHTs in pediatric populations, with both high accuracy and wear compliance both in-clinic and in home environments. The identified across-age-group differences in gait and activity measurements highlighted their potential clinical value.

Indexed as

ExerciseGaitAccelerometryAdolescentAlgorithmsChildChild, PreschoolDigital HealthDigital TechnologyFemaleHumansMaleReproducibility of ResultsWearable Electronic Devices

Identifiers

PMID38514860
PMCPMC11499282
OpenAlexW4393046987

What OpenQuestion holds

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LicenceCC BY
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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.