Evidence map›Paper›PMID 38732998›Full record

ArticleSensors (Basel, Switzerland)2024

Are Gait Patterns during In-Lab Running Representative of Gait Patterns during Real-World Training? An Experimental Study.

John J Davis, Stacey A Meardon, Andrew W Brown, John S Raglin, Jaroslaw Harezlak, Allison H Gruber

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Sensors (Basel, Switzerland), 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  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

6 authors.

John J DavisDepartment of Kinesiology, School of Public Health-Bloomington, Indiana University, Bloomington, IN 47405, USA.
Stacey A MeardonDepartment of Physical Therapy, East Carolina University, Greenville, NC 27858, USA.ORCID 0000-0002-9963-2985
Andrew W BrownDepartment of Biostatistics, University of Arkansas for Medical Sciences, Little Rock, AR 72205, USA.ORCID 0000-0002-1758-8205
John S RaglinDepartment of Kinesiology, School of Public Health-Bloomington, Indiana University, Bloomington, IN 47405, USA.
Jaroslaw HarezlakDepartment of Epidemiology and Biostatistics, School of Public Health-Bloomington, Indiana University, Bloomington, IN 47405, USA.
Allison H GruberDepartment of Kinesiology, School of Public Health-Bloomington, Indiana University, Bloomington, IN 47405, USA.ORCID 0000-0002-0750-5656

Funding

American College of Sports Medicine Foundation, World Athletics Research Grant n/aAmerican Society of Biomechanics n/a
6 · The paper itself

Abstract

Biomechanical assessments of running typically take place inside motion capture laboratories. However, it is unclear whether data from these in-lab gait assessments are representative of gait during real-world running. This study sought to test how well real-world gait patterns are represented by in-lab gait data in two cohorts of runners equipped with consumer-grade wearable sensors measuring speed, step length, vertical oscillation, stance time, and leg stiffness. Cohort 1 (

Indexed as

GaitRunningAdultBiomechanical PhenomenaFemaleGait AnalysisHumansMaleWearable Electronic DevicesYoung Adultbiomechanicsdepth statisticsfree-living gaitunsupervised learningwearable technology

Identifiers

PMID38732998
PMCPMC11086149

What OpenQuestion holds

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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.