Literature DB >> 35924315

Comments on: Does the Duncan-Ely Test Predict Abnormal Activity of the Rectus Femoris in Stroke Survivors with a Stiff Knee Gait?

Joydip Saha1, Sunanda Bhowmik2.   

Abstract

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Year:  2022        PMID: 35924315      PMCID: PMC9422876          DOI: 10.2340/jrm.v54.2235

Source DB:  PubMed          Journal:  J Rehabil Med        ISSN: 1650-1977            Impact factor:   3.959


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We appreciate the study by Martin J. B. Tenniglo et al., 2022 (1), evaluating whether the Duncan-Ely test predicts abnormal activity of the rectus femoris muscle in stroke survivors with stiff knee gait (SKG). However, we would like to draw attention of the authors to a few concerns. The article aimed to evaluate whether the Duncan-Ely test predicts abnormal activity of the rectus femoris muscle in stroke survivors with stiff knee gait (SKG). However, in the main text, the authors state that they were evaluating overactivity or spasticity of the rectus femoris muscle. This is confusing, as “abnormal activity” of a muscle can also refer to reduced activity. The authors should have specified whether they were assessing “reduced activity”, “overactivity”, or both. The study location is described, but no information is provided about the study setting; for example, regarding the provision of a soundproof setting for surface electromyography (sEMG) to prevent external causing data errors. The methodology section is informative, but also does not specify the sample size estimation formula, and sampling technique. Omission of these criteria might limit the results of the study (2). The inclusion criteria include a very broad range of patients’ ages, i.e. above 18 years, but the data on the target population does not match the lower limit. The table of patient characteristics indicates that the mean age of patients was 57 years, with a standard deviation of approximately 13 years, which is a narrower age group than stated in the inclusion criteria. The authors might have considered the age group above 40 years to justify the results. Moreover, the inclusion criteria do not include the type of stroke, or localization of stroke. These criteria should also have been specified, as they are major predictors of stroke recovery. The type of stroke plays a crucial role in gait pattern; some types of stroke do not affect the lower limb or do not lead to motor weakness (3). Although the procedures for the Duncan-Ely test and sEMG are described, images illustrating these testing methods are lacking, which makes it difficult for readers to interpret the techniques. In conclusion, as this a cross-sectional study, use of the “Strengthening the Reporting of Observational studies in Epidemiology” (STROBE) guidelines would be advised to ensure high-quality presentation of the observational study conducted (4). To provide more extensive analysis of gait abnormalities, future studies should focus on methodological clarity and pictorial representation of the tests performed, to help readers understand how these procedures can be performed in the optimum way. This would reduce any testing errors and promote better research outcomes.
  4 in total

1.  Sample size estimation and power analysis for clinical research studies.

Authors:  Kp Suresh; S Chandrashekara
Journal:  J Hum Reprod Sci       Date:  2012-01

Review 2.  The STROBE guidelines.

Authors:  Sarah Cuschieri
Journal:  Saudi J Anaesth       Date:  2019-04

3.  Does the Duncan-Ely test predict abnormal activity of the rectus femoris in stroke survivors with a stiff knee gait?

Authors:  Martin J B Tenniglo; Marc J Nederhand; Judith F Fleuren; Johan S Rietman; Jaap H Buurke; Erik C Prinsen
Journal:  J Rehabil Med       Date:  2022-01-03       Impact factor: 3.959

  4 in total

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