Evidence map›Paper›PMID 36104792›Full record

ArticleJournal of orthopaedic surgery and research2022

The validity and reliability of the OneStep smartphone application under various gait conditions in healthy adults with feasibility in clinical practice.

Jesse C Christensen, Ethan C Stanley, Evan G Oro, Hunter B Carlson, Yuval Y Naveh, Rotem Shalita, Levi S Teitz

Abstract read
In one paragraph

Article in Journal of orthopaedic surgery and research, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing 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

15 citing papers in PubMed.

  1. Article
  2. MoveLabSensors (Basel, Switzerland) · 2025
    Article
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  5. Review
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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

7 authors.

Jesse C ChristensenDepartment of Physical Medicine and Rehabilitation, Veterans Affairs Health Care System, Salt Lake City, UT, USA. jesse.christensen@hsc.utah.edu.
Ethan C StanleyDepartment of Physical Therapy and Athletic Training, University of Utah, Salt Lake City, UT, USA.
Evan G OroDepartment of Physical Therapy and Athletic Training, University of Utah, Salt Lake City, UT, USA.
Hunter B CarlsonDepartment of Physical Therapy and Athletic Training, University of Utah, Salt Lake City, UT, USA.
Yuval Y NavehCelloscope Ltd, Tel Aviv, Israel.
Rotem ShalitaCelloscope Ltd, Tel Aviv, Israel.
Levi S TeitzCelloscope Ltd, Tel Aviv, Israel.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivePrimary purpose of this study was to determine the validity and reliability of the OneStep smartphone application in healthy adults. Secondary purpose was to determine the feasibility of measuring gait dysfunction, limitation in spatiotemporal characteristics, longitudinally in patients following total hip or knee arthroplasty.

methodsFirst objective, 20 healthy adults (mean age, 42.3 ± 19.7 years; 60% males; mean body mass index, 29.0 ± 5.2 kg/m

resultsThe smartphone application demonstrated moderate-to-excellent intraclass correlation coefficients for reliability between-system (ICC range, 0.56-0.99), -limb (ICC range, 0.62-0.99) and -device (ICC range, 0.61-0.96) for gait analysis of healthy adults. Pearson correlations were low-to-very high between methods (r range, 0.45-0.99). Bland-Altman analysis revealed relative underestimation of spatiotemporal variables by the smartphone application compared to the motion system. For patients following total hip or knee arthroplasty, gait analysis using the OneStep application demonstrated significant improvement (p < 0.001, Cohen's d > 0.95) in gait dysfunction between 2- and 10 weeks postoperatively.

conclusionThe smartphone application can be a valid, reliable and feasible alternative to motion laboratories in evaluating deficits in gait dysfunction in various environments and clinical settings.

Indexed as

Mobile ApplicationsSmartphoneAdultAgedFeasibility StudiesFemaleGaitHumansMaleMiddle AgedReproducibility of ResultsYoung AdultAgreementFeasibilityMotion analysis systemReliabilitySmartphone applicationValidity

Identifiers

PMID36104792
PMCPMC9476593

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Registered trials

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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.