Evaluation of the analgesic effect of ɑ-lipoic acid in treating pain disorders: a systematic review and meta-analysis of randomized controlled trials

2022 ◽  
pp. 106075
Author(s):  
Gabriela Cassanego ◽  
Patrícia Rodrigues ◽  
Liliane De Freitas Bauermann ◽  
Gabriela Trevisan
10.2196/22821 ◽  
2020 ◽  
Vol 9 (10) ◽  
pp. e22821
Author(s):  
Negin Hesam-Shariati ◽  
Wei-Ju Chang ◽  
James H McAuley ◽  
Andrew Booth ◽  
Zina Trost ◽  
...  

Background Chronic pain is a global health problem, affecting around 1 in 5 individuals in the general population. The understanding of the key role of functional brain alterations in the generation of chronic pain has led researchers to focus on pain treatments that target brain activity. Electroencephalographic neurofeedback attempts to modulate the power of maladaptive electroencephalography frequency powers to decrease chronic pain. Although several studies have provided promising evidence, the effect of electroencephalographic neurofeedback on chronic pain is uncertain. Objective This systematic review aims to synthesize the evidence from randomized controlled trials to evaluate the analgesic effect of electroencephalographic neurofeedback. In addition, we will synthesize the findings of nonrandomized studies in a narrative review. Methods We will apply the search strategy in 5 electronic databases (Cochrane Central Register of Controlled Trials, MEDLINE, EMBASE, PsycInfo, and CINAHL) for published studies and in clinical trial registries for completed unpublished studies. We will include studies that used electroencephalographic neurofeedback as an intervention for people with chronic pain. Risk-of-bias tools will be used to assess methodological quality of the included studies. We will include randomized controlled trials if they have compared electroencephalographic neurofeedback with any other intervention or placebo control. The data from randomized controlled trials will be aggregated to perform a meta-analysis for quantitative synthesis. The primary outcome measure is pain intensity assessed by self-report scales. Secondary outcome measures include depressive symptoms, anxiety symptoms, and sleep quality measured by self-reported questionnaires. We will investigate the studies for additional outcomes addressing adverse effects and resting-state electroencephalography analysis. Additionally, all types of nonrandomized studies will be included for a narrative synthesis. The intended and unintended effects of nonrandomized studies will be extracted and summarized in a descriptive table. Results Ethics approval is not required for a systematic review, as there will be no patient involvement. The search for this systematic review commenced in July 2020, and we expect to publish the findings in early 2021. Conclusions This systematic review will provide recommendations for researchers and health professionals, as well as people with chronic pain, about the evidence for the analgesic effect of electroencephalographic neurofeedback. Trial Registration International Prospective Register of Systematic Reviews (PROSPERO) CRD42020177608; https://www.crd.york.ac.uk/PROSPERO/display_record.php?RecordID=177608 International Registered Report Identifier (IRRID) PRR1-10.2196/22821


2020 ◽  
Author(s):  
Negin Hesam-Shariati ◽  
Wei-Ju Chang ◽  
James H McAuley ◽  
Andrew Booth ◽  
Zina Trost ◽  
...  

BACKGROUND Chronic pain is a global health problem, affecting around 1 in 5 individuals in the general population. The understanding of the key role of functional brain alterations in the generation of chronic pain has led researchers to focus on pain treatments that target brain activity. Electroencephalographic neurofeedback attempts to modulate the power of maladaptive electroencephalography frequency powers to decrease chronic pain. Although several studies have provided promising evidence, the effect of electroencephalographic neurofeedback on chronic pain is uncertain. OBJECTIVE This systematic review aims to synthesize the evidence from randomized controlled trials to evaluate the analgesic effect of electroencephalographic neurofeedback. In addition, we will synthesize the findings of nonrandomized studies in a narrative review. METHODS We will apply the search strategy in 5 electronic databases (Cochrane Central Register of Controlled Trials, MEDLINE, EMBASE, PsycInfo, and CINAHL) for published studies and in clinical trial registries for completed unpublished studies. We will include studies that used electroencephalographic neurofeedback as an intervention for people with chronic pain. Risk-of-bias tools will be used to assess methodological quality of the included studies. We will include randomized controlled trials if they have compared electroencephalographic neurofeedback with any other intervention or placebo control. The data from randomized controlled trials will be aggregated to perform a meta-analysis for quantitative synthesis. The primary outcome measure is pain intensity assessed by self-report scales. Secondary outcome measures include depressive symptoms, anxiety symptoms, and sleep quality measured by self-reported questionnaires. We will investigate the studies for additional outcomes addressing adverse effects and resting-state electroencephalography analysis. Additionally, all types of nonrandomized studies will be included for a narrative synthesis. The intended and unintended effects of nonrandomized studies will be extracted and summarized in a descriptive table. RESULTS Ethics approval is not required for a systematic review, as there will be no patient involvement. The search for this systematic review commenced in July 2020, and we expect to publish the findings in early 2021. CONCLUSIONS This systematic review will provide recommendations for researchers and health professionals, as well as people with chronic pain, about the evidence for the analgesic effect of electroencephalographic neurofeedback. CLINICALTRIAL International Prospective Register of Systematic Reviews (PROSPERO) CRD42020177608; https://www.crd.york.ac.uk/PROSPERO/display_record.php?RecordID=177608 INTERNATIONAL REGISTERED REPORT PRR1-10.2196/22821


2018 ◽  
Author(s):  
Joao Ricardo Nickenig Vissoci

BackgroundHarmful alcohol use leads to a large burden of disease and disability which disportionately impacts LMICs. The World Health Organization and the Lancet have issued calls for this burden to be addressed, but issues remain, primarily due to gaps in information. While a variety of interventions have been shown to be effective at reducing alcohol use in HICs, their efficacy in LMICs have yet to be assessed. This systematic review describes the current published literature on alcohol interventions in LMICs and conducts a meta analysis of clinical trials evaluating interventions to reduce alcohol use and harms in LMICs.MethodsIn accordance with PRISMA guidelines we searched the electronic databases Pubmed, EMBASE, Scopus,Web of Science, Cochrane, and Psych Info. Articles were eligible if they evaluated an intervention targeting alcohol-related harm in LMICs. After a reference and citation analysis, we conducted a quality assessment per PRISMA protocol. A meta-analysis was performed on the 39 randomized controlled trials that evaluated an alcohol-related outcome.ResultsOf the 3,801 articles from the literature search, 87 articles from 25 LMICs fit the eligibility and inclusion criteria. Of these studies, 39 randomized controlled trials were included in the meta-analysis. Nine of these studies focused specifically on medication, while the others focused on brief motivational intervention, brain stimulation, AUDIT-based brief interventions, WHO ASSIST-based interventions, group based education, basic screening and interventions, brief psychological or counseling, dyadic relapse prevention, group counseling, CBT, motivational + PTSD based interview, and health promotion/awareness. Conclusion Issues in determining feasible options specific to LMICs arise from unstandardized interventions, unequal geographic distribution of intervention implementation, and uncertain effectiveness over time. Current research shows that brain stimulation, psychotherapy, and brief motivational interviews have the potential to be effective in LMIC settings, but further feasibility testing and efforts to standardize results are necessary to accurately assess their effectiveness.


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