Evidence map›Paper›PMID 29548326›Full record

ArticleJournal of neuroengineering and rehabilitation2018

Quantification of upper limb position sense using an exoskeleton and a virtual reality display.

Anne Deblock-Bellamy, Charles Sebiyo Batcho, Catherine Mercier, Andreanne K Blanchette

Open access · goldAbstract readValidation Study
In one paragraph

Article in Journal of neuroengineering and rehabilitation, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed, 1 pooled it
1.5field-weighted citation impact, top 18% of its field
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

12 citing papers in PubMed, 1 synthesis or guideline pooled it, 24 citations in OpenAlex.

  1. Pooled it
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  4. Evaluation of Reliability of the Luna EMG Rehabilitation Robot to Assess Proprioception in the Upper Limbs in 102 Healthy Young Adults.Medical science monitor : international medical journal of experimental and clinical research · 2024
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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

4 authors at 2 institutions in 1 country.

Anne Deblock-BellamyCenter for Interdisciplinary Research in Rehabilitation and Social Integration (CIRRIS), 525 Boulevard Wilfrid-Hamel, Quebec City (QC), G1M 2S8, Canada.
Charles Sebiyo BatchoCenter for Interdisciplinary Research in Rehabilitation and Social Integration (CIRRIS), 525 Boulevard Wilfrid-Hamel, Quebec City (QC), G1M 2S8, Canada.
Catherine MercierCenter for Interdisciplinary Research in Rehabilitation and Social Integration (CIRRIS), 525 Boulevard Wilfrid-Hamel, Quebec City (QC), G1M 2S8, Canada.
Andreanne K BlanchetteCenter for Interdisciplinary Research in Rehabilitation and Social Integration (CIRRIS), 525 Boulevard Wilfrid-Hamel, Quebec City (QC), G1M 2S8, Canada. andreanne.blanchette@fmed.ulaval.ca.
Centre for Interdisciplinary Research in Rehabilitation · CAUniversité Laval · CA

Funding

Center for Interdisciplinary Research in Rehabilitation and Social Integration (CIRRIS) NAPhysiotherapy Foundation of Canada/Quebec Rehabilitation Research Network NA
6 · The paper itself

Abstract

backgroundProprioceptive sense plays a significant role in the generation and correction of skilled movements and, consequently, in most activities of daily living. We developed a new proprioception assessment protocol that enables the quantification of elbow position sense without using the opposite arm, involving active movement of the evaluated limb or relying on working memory. The aims of this descriptive study were to validate this assessment protocol by quantifying the elbow position sense of healthy adults, before using it in individuals who sustained a stroke, and to investigate its test-retest reliability.

methodsElbow joint position sense was quantified using a robotic device and a virtual reality system. Two assessments were performed, by the same evaluator, with a one-week interval. While the participant's arms and hands were occluded from vision, the exoskeleton passively moved the dominant arm from an initial to a target position. Then, a virtual arm representation was projected on a screen placed over the participant's arm. This virtual representation and the real arm were not perfectly superimposed, however. Participants had to indicate verbally the relative position of their arm (more flexed or more extended; two-alternative forced choice paradigm) compared to the virtual representation. Each participant completed a total of 136 trials, distributed in three phases. The angular differences between the participant's arm and the virtual representation ranged from 1° to 27° and changed pseudo-randomly across trials. No feedback about results was provided to the participants during the task. A discrimination threshold was statistically extracted from a sigmoid curve fit representing the relationship between the angular difference and the percentage of successful trials. Test-retest reliability was evaluated with 3 different complementary approaches, i.e. a Bland-Altman analysis, an intraclass correlation coefficient (ICC) and a standard error of measurement (SEm).

resultsThirty participants (24.6 years old; 17 males, 25 right-handed) completed both assessments. The mean discrimination thresholds were 7.0 ± 2.4 (mean ± standard deviation) and 5.9 ± 2.1 degrees for the first and the second assessment session, respectively. This small difference between assessments was significant (- 1.1 ± 2.2 degrees), however. The assessment protocol was characterized by a fair to good test-retest reliability (ICC = 0.47).

conclusionThis study demonstrated the potential of this assessment protocol to objectively quantify elbow position sense in healthy individuals. Futures studies will validate this protocol in older adults and in individuals who sustained a stroke.

Indexed as

Exoskeleton DeviceVirtual RealityActivities of Daily LivingAdultElbow JointFemaleHealthy VolunteersHumansMaleProprioceptionReproducibility of ResultsStroke RehabilitationUpper ExtremityYoung AdultAssessmentProprioceptionRoboticSensoryStrokeUpper limbVirtual reality

Identifiers

PMID29548326
PMCPMC5857112
OpenAlexW2799891965

What OpenQuestion holds

Textmetadata
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.