scholarly journals Image-Guided Versus Blind Corticosteroid Injections in Adults With Shoulder Pain: A Systematic Review and Meta-Analysis

Cureus ◽  
2021 ◽  
Author(s):  
Harish Peri ◽  
Tajbinder Singh Bains ◽  
Naveen Shejale ◽  
Varinder Kaur
2021 ◽  
pp. 026921552199095
Author(s):  
Danilo Harudy Kamonseki ◽  
Letícia Bojikian Calixtre ◽  
Rodrigo Py Gonçalves Barreto ◽  
Paula Rezende Camargo

Objective: To systematically review the effectiveness of electromyographic biofeedback interventions to improve pain and function of patients with shoulder pain. Design: Systematic review of controlled clinical trials. Literature search: Databases (Medline, EMBASE, CINAHL, PEDro, CENTRAL, Web of Science, and SCOPUS) were searched in December 2020. Study selection criteria: Randomized clinical trials that investigated the effects of electromyographic biofeedback for individuals with shoulder pain. Patient-reported pain and functional outcomes were collected and synthesized. Data synthesis: The level of evidence was synthesized using GRADE and Standardized Mean Differences and 95% confidence interval were calculated using a random-effects inverse variance model for meta-analysis. Results: Five studies were included with a total sample of 272 individuals with shoulder pain. Very-low quality of evidence indicated that electromyographic biofeedback was not superior to control for reducing shoulder pain (standardized mean differences = −0.21, 95% confidence interval: −0.67 to 0.24, P = 0.36). Very-low quality of evidence indicated that electromyographic biofeedback interventions were not superior to control for improving shoulder function (standardized mean differences = −0.11, 95% confidence interval: −0.41 to 0.19, P = 0.48). Conclusion: Electromyographic biofeedback may be not effective for improving shoulder pain and function. However, the limited number of included studies and very low quality of evidence does not support a definitive recommendation about the effectiveness of electromyographic biofeedback to treat individuals with shoulder pain.


Author(s):  
Sol Patricia Beltran Picón ◽  
Gabriel de Amorim Batista ◽  
Ana Carolina Rodarti Pitangui ◽  
Rodrigo Cappato de Araújo

2017 ◽  
Vol 38 (10) ◽  
pp. 2021-2027 ◽  
Author(s):  
A.L. McNamara ◽  
E.C. Dickerson ◽  
D.M. Gomez-Hassan ◽  
S.K. Cinti ◽  
A. Srinivasan

2018 ◽  
Vol 151 (3) ◽  
pp. 573-578 ◽  
Author(s):  
Lucas Gomes Sapienza ◽  
Anuja Jhingran ◽  
Marisa A. Kollmeier ◽  
Lillie L. Lin ◽  
Vinícius Fernando Calsavara ◽  
...  

2021 ◽  
Vol 12 ◽  
Author(s):  
Yajing Hou ◽  
Yong Wang ◽  
Xiaojing Sun ◽  
Yake Lou ◽  
Ying Yu ◽  
...  

Purpose: We aimed to investigate the effectiveness of suprascapular nerve block (SSNB) in patients with hemiplegic shoulder pain (HSP).Background: SSNB is widely used in various shoulder pains, but whether it is effective in HSP remains unknown.Methods: PubMed, Cochrane Library, and Embase databases were searched to identify potential citations. Randomized controlled trials meeting the eligible criteria were included in our analysis. The primary endpoint was Visual Analog Scale (VAS) with a maximum value of 100 and a minimum value of 0. Secondary endpoints were passive range of motion (PROM) that pain starts, and the PROM mainly included abduction, flexion, and external rotation. In addition, the upper extremity Fugl-Meyer assessment (FMA) was also included in our secondary endpoints.Results: Eight studies with 281 patients were included in our analysis. For VAS, there was no obvious difference between SSNB group and control group regardless of the follow-up period (<4 weeks or ≥4 weeks), which were −6.62 (−15.76, 2.53; p = 0.16) and 1.78 (−16.18, 19.74; p = 0.85). For shoulder function, the PROM of abduction, flexion, and external rotation was similar between groups. However, motor function indicator FMA is lower in SSNB control than that in control group, with a mean difference (and 95% CI) of −2.59 (−4.52, −0.66; p = 0.008).Conclusion: SSNB is an effective way for HSP patients.Systematic Review Registration: Registration ID: CRD42021252429.


Author(s):  
Majid Aljoghaiman ◽  
Bradley Bergen ◽  
Radwan Takroni ◽  
Bill Wang ◽  
Paul Eangles ◽  
...  

2022 ◽  
Vol 65 (5) ◽  
pp. 101602
Author(s):  
Alessandro de Sire ◽  
Lucrezia Moggio ◽  
Andrea Demeco ◽  
Francesco Fortunato ◽  
Riccardo Spanò ◽  
...  

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