Evidence map›Paper›PMID 32028966›Full record

Observational studyJournal of neuroengineering and rehabilitation2020

Quantifying dosage of physical therapy using lower body kinematics: a longitudinal pilot study on early post-stroke individuals.

Sung Yul Shin, Robert K Lee, Patrick Spicer, James Sulzer

Abstract readObservational Study
In one paragraph

Observational study in Journal of neuroengineering and rehabilitation, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
11citing 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

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

  1. Pooled it
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Observational
  9. Wearable Sensors Improve Prediction of Post-Stroke Walking Function Following Inpatient Rehabilitation.IEEE journal of translational engineering in health and medicine · 2022
    Article
  10. Review
  11. 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

4 authors.

Sung Yul ShinDepartment of Mechanical Engineering, University of Texas at Austin, 204 E Dean Keeton St, Austin, TX, 78712, USA.
Robert K LeeSt. David's Rehabilitation Hospital, St. David's Medical Center, 919 E 32nd St, Austin, TX, 78705, USA.
Patrick SpicerSeton Brain and Spine Institute, Ascension Texas, 1201 W 38th St, Austin, TX, 78705, USA.
James SulzerDepartment of Mechanical Engineering, University of Texas at Austin, 204 E Dean Keeton St, Austin, TX, 78712, USA. james.sulzer@austin.utexas.edu.ORCID 0000-0001-9700-3045

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundWhile therapy is an important part of the recovery process, there is a lack of quantitative data detailing the "dosage" of therapy received due to the limitations on in/outpatient accessibility and mobility. Advances in wearable sensor technology have allowed us to obtain an unprecedented glimpse into joint-level kinematics in an unobtrusive manner. The objective of this observational longitudinal pilot study was to evaluate the relations between lower body joint kinematics during therapy and functional gait recovery over the first three months after stroke.

methodsSix individuals with subacute stroke (< 1 month) were monitored for a total of 59 one-hour physical therapy sessions including gait and non-gait activities. Participants donned a heart rate monitor and an inertial motion capture system to measure full lower body joint kinematics during each therapy session. Linear mixed regression models were used to examine relations between functional gait recovery (speed) and activity features including total joint displacements, defined as amount of motion (AoM), step number, change in heart rate (∆HR), and types of tasks performed.

resultsAll activity features including AoM, step number, types of tasks performed (all p < 0.01), and ∆HR (p < 0.05) showed strong associations with gait speed. However, AoM (R

conclusionsThis proof-of-concept study shows that recording joint kinematics during gait therapy longitudinally after stroke is feasible and yields important information for the recovery process. These initial results suggest that compared to step number, more holistic outcome measures such as joint motions may be more informative and help elucidate the dosage of therapy.

Indexed as

Physical Therapy ModalitiesRecovery of FunctionWearable Electronic DevicesAdultAgedBiomechanical PhenomenaFemaleGaitHumansLongitudinal StudiesMaleMiddle AgedPilot ProjectsStrokeStroke RehabilitationDosageGaitInertial measurement unitsStrokeTherapy

Identifiers

PMID32028966
PMCPMC7006408

What OpenQuestion holds

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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.