Evidence map›Paper›PMID 25117936›Full record

ArticleJournal of neuroengineering and rehabilitation2014

Utilization of a novel digital measurement tool for quantitative assessment of upper extremity motor dexterity: a controlled pilot study.

Ruth Getachew, Sunghoon I Lee, Jon A Kimball, Andrew Y Yew, Derek S Lu, Charles H Li, Jordan H Garst, Nima Ghalehsari, Brian H Paak, Mehrdad Razaghy and 7 more

Abstract read
In one paragraph

Article in Journal of neuroengineering and rehabilitation, 2014. 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. Trial
  2. Article
  3. Use of multivariate linear regression and support vector regression to predict functional outcome after surgery for cervical spondylotic myelopathy.Journal of clinical neuroscience : official journal of the Neurosurgical Society of Australasia · 2015
    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

17 authors.

Ruth Getachew
Sunghoon I Lee
Jon A Kimball
Andrew Y Yew
Derek S Lu
Charles H Li
Jordan H Garst
Nima Ghalehsari
Brian H Paak
Mehrdad Razaghy
Marie Espinal
Arsha Ostowari
Amir A Ghavamrezaii
Sahar Pourtaheri
Irene Wu
Majid Sarrafzadeh
Daniel C LuNeuroplasticity and Repair Laboratory, UCLA, Los Angeles, USA. dclu@mednet.ucla.edu.

Funding

UCLA Clinical and Translational Science InstituteUL1TR000124 · NCATS · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI DUBINETT, STEVEN M. · 2012 to 2015
$57.0M
Enabling forelimb function with agonist drug and epidural stimulation in SCIU01EB015521 · NIBIB · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI EDGERTON, REGGIE, LU, DANIEL · 2013 to 2017
$6.0M
UCLA Neurosurgery Research Training and Education ProgramR25NS079198 · NINDS · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI LIAU, LINDA M · 2012 to 2021
$1.2M
NCATS NIH HHS UL1 TR000124NCATS NIH HHS UL1TR000124NIBIB NIH HHS EB15521NIBIB NIH HHS U01 EB015521NINDS NIH HHS R25 NS079198
6 · The paper itself

Abstract

backgroundThe current methods of assessing motor function rely primarily on the clinician's judgment of the patient's physical examination and the patient's self-administered surveys. Recently, computerized handgrip tools have been designed as an objective method to quantify upper-extremity motor function. This pilot study explores the use of the MediSens handgrip as a potential clinical tool for objectively assessing the motor function of the hand.

methodsEleven patients with cervical spondylotic myelopathy (CSM) were followed for three months. Eighteen age-matched healthy participants were followed for two months. The neuromotor function and the patient-perceived motor function of these patients were assessed with the MediSens device and the Oswestry Disability Index respectively. The MediSens device utilized a target tracking test to investigate the neuromotor capacity of the participants. The mean absolute error (MAE) between the target curve and the curve tracing achieved by the participants was used as the assessment metric. The patients' adjusted MediSens MAE scores were then compared to the controls. The CSM patients were further classified as either "functional" or "nonfunctional" in order to validate the system's responsiveness. Finally, the correlation between the MediSens MAE score and the ODI score was investigated.

resultsThe control participants had lower MediSens MAE scores of 8.09%±1.60%, while the cervical spinal disorder patients had greater MediSens MAE scores of 11.24%±6.29%. Following surgery, the functional CSM patients had an average MediSens MAE score of 7.13%±1.60%, while the nonfunctional CSM patients had an average score of 12.41%±6.32%. The MediSens MAE and the ODI scores showed a statistically significant correlation (r=-0.341, p<1.14×10⁻⁵). A Bland-Altman plot was then used to validate the agreement between the two scores. Furthermore, the percentage improvement of the the two scores after receiving the surgical intervention showed a significant correlation (r=-0.723, p<0.04).

conclusionsThe MediSens handgrip device is capable of identifying patients with impaired motor function of the hand. The MediSens handgrip scores correlate with the ODI scores and may serve as an objective alternative for assessing motor function of the hand.

Indexed as

AdultAgedAged, 80 and overCervical VertebraeFemaleHand StrengthHumansMaleMiddle AgedMotor ActivityNeurologic ExaminationPilot ProjectsSpondylosisUpper Extremity

Identifiers

PMID25117936
PMCPMC4138400

What OpenQuestion holds

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LicenceCC BY
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.