Literature DB >> 26701380

Critically re-evaluating a common technique: Accuracy, reliability, and confirmation bias of EMG.

Pushpa Narayanaswami1, Thomas Geisbush2, Lyell Jones2, Michael Weiss2, Tahseen Mozaffar2, Gary Gronseth2, Seward B Rutkove2.   

Abstract

OBJECTIVES: (1) To assess the diagnostic accuracy of EMG in radiculopathy. (2) To evaluate the intrarater reliability and interrater reliability of EMG in radiculopathy. (3) To assess the presence of confirmation bias in EMG.
METHODS: Three experienced academic electromyographers interpreted 3 compact discs with 20 EMG videos (10 normal, 10 radiculopathy) in a blinded, standardized fashion without information regarding the nature of the study. The EMGs were interpreted 3 times (discs A, B, C) 1 month apart. Clinical information was provided only with disc C. Intrarater reliability was calculated by comparing interpretations in discs A and B, interrater reliability by comparing interpretation between reviewers. Confirmation bias was estimated by the difference in correct interpretations when clinical information was provided.
RESULTS: Sensitivity was similar to previous reports (77%, confidence interval [CI] 63%-90%); specificity was 71%, CI 56%-85%. Intrarater reliability was good (κ 0.61, 95% CI 0.41-0.81); interrater reliability was lower (κ 0.53, CI 0.35-0.71). There was no substantial confirmation bias when clinical information was provided (absolute difference in correct responses 2.2%, CI -13.3% to 17.7%); the study lacked precision to exclude moderate confirmation bias.
CONCLUSIONS: This study supports that (1) serial EMG studies should be performed by the same electromyographer since intrarater reliability is better than interrater reliability; (2) knowledge of clinical information does not bias EMG interpretation substantially; (3) EMG has moderate diagnostic accuracy for radiculopathy with modest specificity and electromyographers should exercise caution interpreting mild abnormalities. CLASSIFICATION OF EVIDENCE: This study provides Class III evidence that EMG has moderate diagnostic accuracy and specificity for radiculopathy.
© 2015 American Academy of Neurology.

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Year:  2015        PMID: 26701380      PMCID: PMC4733154          DOI: 10.1212/WNL.0000000000002292

Source DB:  PubMed          Journal:  Neurology        ISSN: 0028-3878            Impact factor:   9.910


  16 in total

1.  Electromyography, magnetic resonance imaging, and radiculopathy: it's time to focus on specificity.

Authors:  L R Robinson
Journal:  Muscle Nerve       Date:  1999-02       Impact factor: 3.217

2.  Electrophysiologic study and computerized tomography in diagnosis of lumbosacral radiculopathy.

Authors:  Z A Wu; C P Tsai; D A Yang; F L Chu; T Chang
Journal:  Zhonghua Yi Xue Za Zhi (Taipei)       Date:  1987-02

3.  Electrophysiologic evaluation of lumbosacral radiculopathies: electromyography, late responses, and somatosensory evoked potentials.

Authors:  M J Aminoff; D S Goodin; G J Parry; N M Barbaro; P R Weinstein; M L Rosenblum
Journal:  Neurology       Date:  1985-10       Impact factor: 9.910

4.  Computed tomography, electrodiagnostic and clinical findings in chronic workers' compensation patients with back and leg pain.

Authors:  S Haldeman; M Shouka; S Robboy
Journal:  Spine (Phila Pa 1976)       Date:  1988-03       Impact factor: 3.468

5.  Diagnostic value of different electrophysiologic tests in cervical disk prolapse.

Authors:  F Leblhuber; F Reisecker; H Boehm-Jurkovic; A Witzmann; E Deisenhammer
Journal:  Neurology       Date:  1988-12       Impact factor: 9.910

6.  The measurement of observer agreement for categorical data.

Authors:  J R Landis; G G Koch
Journal:  Biometrics       Date:  1977-03       Impact factor: 2.571

7.  Clinical and electromyographic correlations of lumbosacral radiculopathy.

Authors:  R Kuruoglu; S J Oh; B Thompson
Journal:  Muscle Nerve       Date:  1994-02       Impact factor: 3.217

8.  Usefulness of electrophysiological studies in the diagnosis of lumbosacral root disease.

Authors:  R F Tonzola; A A Ackil; B T Shahani; R R Young
Journal:  Ann Neurol       Date:  1981-03       Impact factor: 10.422

9.  The sensitivity and specificity of electrodiagnostic testing for the clinical syndrome of lumbar spinal stenosis.

Authors:  Andrew J Haig; Henry C Tong; Karen S J Yamakawa; Douglas J Quint; Julian T Hoff; Anthony Chiodo; Jennifer A Miner; Vaishali R Choksi; Michael E Geisser
Journal:  Spine (Phila Pa 1976)       Date:  2005-12-01       Impact factor: 3.468

10.  Electromyography and magnetic resonance imaging in the evaluation of radiculopathy.

Authors:  R A Nardin; M R Patel; T F Gudas; S B Rutkove; E M Raynor
Journal:  Muscle Nerve       Date:  1999-02       Impact factor: 3.217

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  11 in total

Review 1.  Application of electrophysiological measures in spinal cord injury clinical trials: a narrative review.

Authors:  Michèle Hubli; John L K Kramer; Catherine R Jutzeler; Jan Rosner; Julio C Furlan; Keith E Tansey; Martin Schubert
Journal:  Spinal Cord       Date:  2019-07-23       Impact factor: 2.772

2.  Quantitative muscle ultrasound in upper extremity mononeuropathies.

Authors:  Yun Wang; Hilda Gutierrez; Maria Martucci; Alison Poussaint; Kristin Qi; Benjamin Sanchez; Seward B Rutkove
Journal:  Muscle Nerve       Date:  2019-04-17       Impact factor: 3.217

3.  Quantitative T2 -mapping magnetic resonance imaging for assessment of muscle motor unit recruitment patterns.

Authors:  Erin C Argentieri; Ek Tsoon Tan; Jeremy S Whang; Sophie C Queler; Joseph H Feinberg; Bin Lin; Darryl B Sneag
Journal:  Muscle Nerve       Date:  2021-02-12       Impact factor: 3.217

4.  Quantitative MRI Differentiates Electromyography Severity Grades of Denervated Muscle in Neuropathy of the Brachial Plexus.

Authors:  Ek T Tan; Kenneth C Serrano; Pravjit Bhatti; Farhad Pishgar; Alyssa M Vanderbeek; Carlo J Milani; Darryl B Sneag
Journal:  J Magn Reson Imaging       Date:  2022-02-23       Impact factor: 5.119

5.  Recording characteristics of electrical impedance-electromyography needle electrodes.

Authors:  H Kwon; J F Di Cristina; S B Rutkove; B Sanchez
Journal:  Physiol Meas       Date:  2018-05-22       Impact factor: 2.833

6.  Evidence of peripheral large nerve involvement in fibromyalgia: a retrospective review of EMG and nerve conduction findings in 55 FM subjects.

Authors:  Xavier J Caro; Robert G Galbraith; Earl F Winter
Journal:  Eur J Rheumatol       Date:  2018-02-13

7.  Can Kinesio Taping® influence the electromyographic signal intensity of trunk extensor muscles in patients with chronic low back pain? A randomized controlled trial.

Authors:  Leandro Garcia Pires; Rosimeire Simprini Padula; Maurício Antônio Da Luz Junior; Irlei Santos; Matheus Oliveira Almeida; Shaiane Silva Tomazoni; Lucíola Cunha Menezes Costa; Leonardo Oliveira Pena Costa
Journal:  Braz J Phys Ther       Date:  2019-12-15       Impact factor: 3.377

8.  Interpretation of Electrodiagnostic Studies: How to Apply It to the Practice of Orthopaedic Surgery.

Authors:  Christopher J Dy; Berdale S Colorado; Andrew J Landau; David M Brogan
Journal:  J Am Acad Orthop Surg       Date:  2021-07-01       Impact factor: 4.000

9.  Can Quantitative MRI Be Used to Differentiate Physiologic Changes Behind Muscle Weakness in Type 2 Diabetes Mellitus?

Authors:  Darryl B Sneag; Ek T Tan
Journal:  Radiology       Date:  2020-10-13       Impact factor: 29.146

10.  Manual Therapy as a Management of Cervical Radiculopathy: A Systematic Review.

Authors:  Sergio Borrella-Andrés; Isabel Marqués-García; María Orosia Lucha-López; Pablo Fanlo-Mazas; Mar Hernández-Secorún; Albert Pérez-Bellmunt; José Miguel Tricás-Moreno; César Hidalgo-García
Journal:  Biomed Res Int       Date:  2021-06-03       Impact factor: 3.411

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