Evidence map›Paper›PMID 25023162›Full record

ArticleJournal of electromyography and kinesiology : official journal of the International Society of Electrophysiological Kinesiology2014

Identification and classification of involuntary leg muscle contractions in electromyographic records from individuals with spinal cord injury.

C K Thomas, M Dididze, A Martinez, R W Morris

Abstract read
In one paragraph

Article in Journal of electromyography and kinesiology : official journal of the International Society of Electrophysiological Kinesiology, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing 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

9 citing papers in PubMed.

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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.

C K ThomasThe Miami Project to Cure Paralysis, University of Miami, Miami, FL 33136, USA; Department of Neurological Surgery, University of Miami, Miami, FL 33136, USA. Electronic address: cthomas@miami.edu.
M DididzeThe Miami Project to Cure Paralysis, University of Miami, Miami, FL 33136, USA.
A MartinezThe Miami Project to Cure Paralysis, University of Miami, Miami, FL 33136, USA.
R W MorrisDepartment of Human Genetics, University of Miami, Miami, FL 33136, USA.

Funding

MUSCLE FUNCTION IN HUMAN CERVICAL SPINAL CORD INJURYR01NS030226 · NINDS · UNIVERSITY OF MIAMI SCHOOL OF MEDICINE · PI THOMAS, CHRISTINE K · 1994 to 2010
$3.0M
Muscle Function in Human Cervical Spinal Cord InjuryR56NS030226 · NINDS · UNIVERSITY OF MIAMI SCHOOL OF MEDICINE · PI THOMAS, CHRISTINE K · 2007 to 2007
$396k
NINDS NIH HHS NS-30226NINDS NIH HHS R01 NS030226NINDS NIH HHS R56 NS030226PHS HHS R24 A#1F51C43
6 · The paper itself

Abstract

Involuntary muscle contractions (spasms) are common after human spinal cord injury (SCI). Our aim was to compare how well two raters independently identified and classified different types of spasms in the same electromyographic records (EMG) using predefined rules. Muscle spasms were identified by the presence, timing and pattern of EMG recorded from paralyzed leg muscles of four subjects with chronic cervical SCI. Spasms were classified as one of five types: unit, tonic, clonus, myoclonus, mixed. In 48h of data, both raters marked the same spasms most of the time. More variability in the total spasm count arose from differences between muscles (84%; within subjects) than differences between subjects (6.5%) or raters (2.6%). Agreement on spasm classification was high (89%). Differences in spasm count, and classification largely occurred when EMG was marked as a single spasm by one rater but split into multiple spasms by the other rater. EMG provides objective measurements of spasm number and type in contrast to the self-reported spasm counts that are often used to make clinical decisions about spasm management. Data on inter-rater agreement and discrepancies on muscle spasm analysis can both drive the design and evaluation of software to automate spasm identification and classification.

Indexed as

AdultElectromyographyFemaleHumansLegMaleMiddle AgedMuscle ContractionMuscle, SkeletalMyoclonusObserver VariationParaplegiaReproducibility of ResultsSpasmSpinal Cord InjuriesClonusMotor unit action potentialsMuscle spasm countMyoclonus

Identifiers

PMID25023162
PMCPMC4167713

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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.