Evidence map›Paper›PMID 35795800›Full record

ArticleFrontiers in neurology2022

Using Large-Scale Sensor Data to Test Factors Predictive of Perseverance in Home Movement Rehabilitation: Optimal Challenge and Steady Engagement.

Edgar De Jesus Ramos Muñoz, Veronica Ann Swanson, Christopher Johnson, Raeda K Anderson, Amanda R Rabinowitz, Daniel K Zondervan, George H Collier, David J Reinkensmeyer

Abstract read
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In one paragraph

Article in Frontiers in neurology, 2022. 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
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  9. Review
  10. Overview of the role of robots in upper limb disabilities rehabilitation: a scoping review.Archives of public health = Archives belges de sante publique · 2023
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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

8 authors.

Edgar De Jesus Ramos MuñozDepartment of Mechanical and Aerospace Engineering, Henry Samueli School of Engineering, University of California, Irvine, Irvine, CA, United States.
Veronica Ann SwansonDepartment of Mechanical and Aerospace Engineering, Henry Samueli School of Engineering, University of California, Irvine, Irvine, CA, United States.
Christopher JohnsonDepartment of Biomedical Engineering, Henry Samueli School of Engineering, University of California, Irvine, Irvine, CA, United States.
Raeda K AndersonShepherd Center, Virginia C. Crawford Research Institute, Atlanta, GA, United States.
Amanda R RabinowitzMoss Rehabilitation Research Institute, Philadelphia, PA, United States.
Daniel K ZondervanFlint Rehabilitation Devices, LLC, Irvine, CA, United States.
George H CollierShepherd Center, Virginia C. Crawford Research Institute, Atlanta, GA, United States.
David J ReinkensmeyerDepartment of Mechanical and Aerospace Engineering, Henry Samueli School of Engineering, University of California, Irvine, Irvine, CA, United States.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Persevering with home rehabilitation exercise is a struggle for millions of people in the US each year. A key factor that may influence motivation to engage with rehabilitation exercise is the challenge level of the assigned exercises, but this hypothesis is currently supported only by subjective, self-report. Here, we studied the relationship between challenge level and perseverance using long-term, self-determined exercise patterns of a large number of individuals (

Indexed as

engagementexerciseperseverancerehabilitationstroketelemedicinetherapy

Identifiers

PMID35795800
PMCPMC9252527

What OpenQuestion holds

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LicenceCC BY
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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.