Evidence map›Paper›PMID 39635986›Full record

ArticleThe Journal of manual & manipulative therapy2025

Is the YES/NO classification accurate in screening scapular dyskinesis in asymptomatic individuals? - A novel validation study utilizing surface electromyography as a surrogate measure in identifying movement asymmetries.

Lawrence S Ramiscal, Lori A Bolgla, Chad E Cook, John S Magel, Stephen A Parada, Raymond Chong

Abstract readValidation Study
In one paragraph

Article in The Journal of manual & manipulative therapy, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

6 authors.

Lawrence S RamiscalDepartment of Physical Therapy, Augusta University, Augusta, GA, USA.ORCID 0000-0002-0230-277X
Lori A BolglaDepartment of Physical Therapy, Augusta University, Augusta, GA, USA.ORCID 0000-0002-4298-4779
Chad E CookDoctor of Physical Therapy Division, Duke University, Durham, NC, USA.ORCID 0000-0001-8622-8361
John S MagelDepartment of Physical Therapy and Athletic Training, University of Utah, Salt Lake City, UT, USA.ORCID 0000-0001-9087-4753
Stephen A ParadaDepartment of Orthopaedics, Augusta University, Augusta, GA, USA.ORCID 0000-0002-6304-3038
Raymond ChongDepartment of Interdisciplinary Health Sciences, Augusta University, Augusta, GA, USA.ORCID 0000-0002-2706-1300

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundScapular dyskinesis is a known risk factor for shoulder pain, making it important to screen for prevention. Physical therapists screen scapular dyskinesis by visually comparing asymmetries in scapular movement during overhead reach using the Scapular Dyskinesis Test Yes/No classification (Y/N). Although scapular kinematics has been used to quantify scapular dyskinesis, current measurement techniques are inaccurate. Optimal scapular muscle activity is crucial for normal shoulder function and is measured using surface electromyography (sEMG). Research suggests that impaired scapular muscles can lead to scapular dyskinesis. Despite kinematics being a poor reference standard, there is currently no validated method to identify movement asymmetries using muscle activity as an alternative. We utilized sEMG to establish Y/N's validity. We hypothesized that Y/N is a valid tool using sEMG as a viable surrogate measure for identifying scapular dyskinesis.

methodsWe employed a known-groups (symmetrical vs. asymmetrical shoulders) validity design following the Standards for Reporting Diagnostic Accuracy Studies. Seventy-two asymptomatic subjects were evaluated using Y/N as the index test and sEMG as the reference standard. We created a criterion to assign the sEMG as the reference standard to establish the known groups. We calculated the sensitivity (Sn), specificity (Sp), positive and negative predictive values (PPV, NPV), likelihood ratios (LR+, LR-), and diagnostic odds ratio (DOR) using a 2 × 2 table analysis.

resultsThe diagnostic accuracy values were Sn = 0.56 (0.37-0.74), Sp = 0.36 (0.08-0.65), PPV = 0.68 (0.49-0.88), NPV = 0.25 (0.04-0.46), LR+ = 0.87 (0.50-1.53), and LR- = 1.22 (0.50-2.97).

conclusionThe Y/N's diagnostic accuracy was poor against the sEMG, suggesting clinicians should rely less on Y/N to screen scapular dyskinesis in the asymptomatic population. Our study demonstrated that sEMG might be a suitable alternative as a reference standard in validating methods designed to screen movement asymmetries.

Indexed as

DyskinesiasElectromyographyScapulaAdultBiomechanical PhenomenaFemaleHumansMaleMiddle AgedMuscle, SkeletalReproducibility of ResultsShoulder JointYoung AdultAbnormal movementmovement impairmentmusculoskeletalorthopedics

Identifiers

PMID39635986
PMCPMC11924258

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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.