Preliminary clusters analysis based on functional disability scales for chronic Low Back Pain. Kinematic and EMG differences

Delpierre, Y.; Ritz, M.; Garnier, Cyril

doi:10.1080/10255842.2017.1382858

Cited by 3 publications

(10 citation statements)

References 3 publications

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“…Of the 43 studies, 31 studies used a cross-sectional design to identify cLBP phenotypes. 5,6,11–14,16,17,20–22,26,51,53,57,58,60–62,66,67,70,74,75,80,81,91,92,97,104,108…”

Section: Resultsmentioning

confidence: 99%

“…The sample size was less than 100 participants in 9 (29%) of the included cross-sectional studies. 16,26,53,60,62,66,67,97,108 Twenty studies (63%) validated the results either using a different cohort for cross-validation or by assessing the clinical relevance of the identified cluster profiles. 5,6,10,12–14,16,17,20,22,26,53,54,60,67,70,91,92,97,108 Seventeen (55%) did not report their methods of dealing with missing data.…”

Section: Resultsmentioning

confidence: 99%

“…5,6,21,57,58,61,66,91,92,97 The third design comprised hypothesis-setting or multidimensional studies that used a variety of pain and patients' characteristics to identify the phenotypes. 11,13,16,17,20,22,26,51,53,67,70,74,80,81,104 In these studies, the type of patient and pain-related characteristics used as input variables for phenotyping varied considerably across studies.…”

Section: Methods Usedmentioning

confidence: 99%

“…Of the 43 studies, 31 studies used a cross-sectional design to identify cLBP phenotypes. 5,6,[11][12][13][14]16,17,[20][21][22]26,51,53,57,58,[60][61][62]66,67,70,74,75,80,81,91,92,97,104,108 The remaining 12 studies used a longitudinal prospective design to identify cLBP phenotypes that predicted cLBP outcomes after a series of follow-up measures. [1][2][3]10,18,29,32,33,45,56,76,79…”

Section: Study Inclusionmentioning

confidence: 99%

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Identifying chronic low back pain phenotypic domains and characteristics accounting for individual variation: a systematic review

Hassan

Nesovic

Babineau

et al. 2023

Pain

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Interpatient variability is frequently observed among individuals with chronic low back pain (cLBP). This review aimed at identifying phenotypic domains and characteristics that account for interpatient variability in cLBP. We searched MEDLINE ALL (through Ovid), Embase Classic and EMBASE (through Ovid), Scopus, and CINAHL Complete (through EBSCOhost) databases. Studies that aimed to identify or predict cLBP different phenotypes were included. We excluded studies that focused on specific treatments. The methodological quality was assessed using an adaptation of the Downs and Black tool. Forty-three studies were included. Although the patient and pain-related characteristics used to identify phenotypes varied considerably across studies, the following were among the most identified phenotypic domains and characteristics that account for interpatient variability in cLBP: pain-related characteristics (including location, severity, qualities, and duration) and pain impact (including disability, sleep, and fatigue), psychological domains (including anxiety and depression), behavioral domains (including coping, somatization, fear avoidance, and catastrophizing), social domains (including employment and social support), and sensory profiling (including pain sensitivity and sensitization). Despite these findings, our review showed that the evidence on pain phenotyping still requires further investigation. The assessment of the methodological quality revealed several limitations. We recommend adopting a standard methodology to enhance the generalizability of the results and the implementation of a comprehensive and feasible assessment framework to facilitate personalized treatments in clinical settings.

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“…Of the 43 studies, 31 studies used a cross-sectional design to identify cLBP phenotypes. 5,6,11–14,16,17,20–22,26,51,53,57,58,60–62,66,67,70,74,75,80,81,91,92,97,104,108…”

Section: Resultsmentioning

confidence: 99%

Section: Resultsmentioning

confidence: 99%

Section: Methods Usedmentioning

confidence: 99%

Section: Study Inclusionmentioning

confidence: 99%

See 2 more Smart Citations

Identifying chronic low back pain phenotypic domains and characteristics accounting for individual variation: a systematic review

Hassan

Nesovic

Babineau

et al. 2023

Pain

View full text Add to dashboard Cite

show abstract

“…In addition, unhindered access to and the non-invasive nature of sEMG analysis contribute to the fact that sEMG begins to be increasingly used in the clinical scope to assess patients with LBP. Median frequency (MDF) and root mean square (RMS) are the main parameters used to describe muscle fatigue process and amplitude of muscular activity [46,47].…”

Section: Discussionmentioning

confidence: 99%

The usefulness of surface electromyography in rehabilitation and physiotherapy: systematic review

Radecka

Lubkowska

2020

Pomeranian Journal of Life Sciences

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Introduction: Technological developments in surface electromyography (sEMG) equipment are providing more and more new opportunities in the application of this technique in different fields, not just in clinical medicine but also in physiotherapy.The purpose of this study is an educational review that provides examples of the clinical use of sEMG in rehabilitation and physiotherapy.Materials and methods: Studies were searched for on the PubMed and ScienceDirect databases using the following descriptors: “sEMG rehabilitation”, “sEMG physiotherapy”, “surface electromyography physiotherapy”, “surface electromyography rehabilitation”, resulting in 28,040 citations in total. After reviewing for inclusion criteria – methodological quality assessment using the Physiotherapy Evidence Database (PEDro) scale and consistency with the theme of systematic review – 28,023 studies were removed from the analysis.Results: The qualified 14 works were divided into 4 categories depending on the sEMG application area: urogenital system dysfunction (322 patients, PEDro scale average rating of 6.33), central nervous system damage (120 patients, PEDro scale average rating of 6.6), lower back pain (181 patients, PEDro scale average rating of 5.33) and musculoskeletal disorders (244 patients, PEDro scale average rating of 6.66).Conclusions: The most recent examples of the use of sEMG in intervention studies in rehabilitation and physiotherapy in the last 5 years concerned neurology, urology, gynaecology, paediatrics, pulmonary medicine and orthopaedics.

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Gait analysis on chronic Low Back Pain clusters before rehabilitation program: Kinematic and kinetic approaches -

Delpierre¹,

Audat²,

Garnier

2019

Computer Methods in Biomechanics and Biomedical Engineering

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Preliminary clusters analysis based on functional disability scales for chronic Low Back Pain. Kinematic and EMG differences

Cited by 3 publications

References 3 publications

Identifying chronic low back pain phenotypic domains and characteristics accounting for individual variation: a systematic review

Identifying chronic low back pain phenotypic domains and characteristics accounting for individual variation: a systematic review

The usefulness of surface electromyography in rehabilitation and physiotherapy: systematic review

Gait analysis on chronic Low Back Pain clusters before rehabilitation program: Kinematic and kinetic approaches -

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