0
views
0
recommends
+1 Recommend
0 collections
    0
    shares
      • Record: found
      • Abstract: found
      • Article: found
      Is Open Access

      Effectiveness and acceptability of noninvasive brain and nerve stimulation techniques for migraine prophylaxis: a network meta-analysis of randomized controlled trials

      research-article

      Read this article at

      Bookmark
          There is no author summary for this article yet. Authors can add summaries to their articles on ScienceOpen to make them more accessible to a non-specialist audience.

          Abstract

          Background

          Current pharmacologic prophylactic strategies for migraine have exhibited limited efficacy, with response rates as low as 40%–50%. In addition to the limited efficacy, the acceptability of those pharmacologic prophylactic strategies were unacceptable. Although noninvasive brain/nerve stimulation strategies may be effective, the evidence has been inconsistent. The aim of this network meta-analysis (NMA) was to compare strategies of noninvasive brain/nerve stimulation for migraine prophylaxis with respect to their effectiveness and acceptability.

          Methods

          The PubMed, Embase, ScienceDirect, ProQuest, ClinicalTrials.gov, ClinicalKey, Cochrane CENTRAL, Web of Science, and ClinicalTrials.gov databases were systematically searched to date of June 4th, 2021 for randomized controlled trials (RCTs). Patients with diagnosis of migraine, either episodic migraine or chronic migraine, were included. All NMA procedures were conducted under the frequentist model.

          Results

          Nineteen RCTs were included ( N = 1493; mean age = 38.2 years; 82.0% women). We determined that the high frequency repetitive transcranial magnetic stimulation (rTMS) over C3 yielded the most decreased monthly migraine days among all the interventions [mean difference = − 8.70 days, 95% confidence intervals (95%CIs): − 14.45 to − 2.95 compared to sham/control groups]. Only alternating frequency (2/100 Hz) transcutaneous occipital nerve stimulation (tONS) over the Oz (RR = 0.36, 95%CIs: 0.16 to 0.82) yielded a significantly lower drop-out rate than the sham/control groups did.

          Conclusions

          The current study provided a new direction for the design of more methodologically robust and larger RCTs based on the findings of the potentially beneficial effect on migraine prophylaxis in participants with migraine by different noninvasive brain/nerve stimulation, especially the application of rTMS and tONS.

          Trial registration

          CRD42021252638. The current study had been approval by the Institutional Review Board of the Tri-Service General Hospital, National Defense Medical Center (TSGHIRB No. B-109-29).

          Supplementary Information

          The online version contains supplementary material available at 10.1186/s10194-022-01401-3.

          Related collections

          Most cited references84

          • Record: found
          • Abstract: found
          • Article: found
          Is Open Access

          The PRISMA 2020 statement: an updated guideline for reporting systematic reviews

          The Preferred Reporting Items for Systematic reviews and Meta-Analyses (PRISMA) statement, published in 2009, was designed to help systematic reviewers transparently report why the review was done, what the authors did, and what they found. Over the past decade, advances in systematic review methodology and terminology have necessitated an update to the guideline. The PRISMA 2020 statement replaces the 2009 statement and includes new reporting guidance that reflects advances in methods to identify, select, appraise, and synthesise studies. The structure and presentation of the items have been modified to facilitate implementation. In this article, we present the PRISMA 2020 27-item checklist, an expanded checklist that details reporting recommendations for each item, the PRISMA 2020 abstract checklist, and the revised flow diagrams for original and updated reviews.
            Bookmark
            • Record: found
            • Abstract: found
            • Article: found
            Is Open Access

            AMSTAR 2: a critical appraisal tool for systematic reviews that include randomised or non-randomised studies of healthcare interventions, or both

            The number of published systematic reviews of studies of healthcare interventions has increased rapidly and these are used extensively for clinical and policy decisions. Systematic reviews are subject to a range of biases and increasingly include non-randomised studies of interventions. It is important that users can distinguish high quality reviews. Many instruments have been designed to evaluate different aspects of reviews, but there are few comprehensive critical appraisal instruments. AMSTAR was developed to evaluate systematic reviews of randomised trials. In this paper, we report on the updating of AMSTAR and its adaptation to enable more detailed assessment of systematic reviews that include randomised or non-randomised studies of healthcare interventions, or both. With moves to base more decisions on real world observational evidence we believe that AMSTAR 2 will assist decision makers in the identification of high quality systematic reviews, including those based on non-randomised studies of healthcare interventions.
              Bookmark
              • Record: found
              • Abstract: found
              • Article: found
              Is Open Access

              Global, regional, and national burden of neurological disorders, 1990–2016: a systematic analysis for the Global Burden of Disease Study 2016

              Summary Background Neurological disorders are increasingly recognised as major causes of death and disability worldwide. The aim of this analysis from the Global Burden of Diseases, Injuries, and Risk Factors Study (GBD) 2016 is to provide the most comprehensive and up-to-date estimates of the global, regional, and national burden from neurological disorders. Methods We estimated prevalence, incidence, deaths, and disability-adjusted life-years (DALYs; the sum of years of life lost [YLLs] and years lived with disability [YLDs]) by age and sex for 15 neurological disorder categories (tetanus, meningitis, encephalitis, stroke, brain and other CNS cancers, traumatic brain injury, spinal cord injury, Alzheimer's disease and other dementias, Parkinson's disease, multiple sclerosis, motor neuron diseases, idiopathic epilepsy, migraine, tension-type headache, and a residual category for other less common neurological disorders) in 195 countries from 1990 to 2016. DisMod-MR 2.1, a Bayesian meta-regression tool, was the main method of estimation of prevalence and incidence, and the Cause of Death Ensemble model (CODEm) was used for mortality estimation. We quantified the contribution of 84 risks and combinations of risk to the disease estimates for the 15 neurological disorder categories using the GBD comparative risk assessment approach. Findings Globally, in 2016, neurological disorders were the leading cause of DALYs (276 million [95% UI 247–308]) and second leading cause of deaths (9·0 million [8·8–9·4]). The absolute number of deaths and DALYs from all neurological disorders combined increased (deaths by 39% [34–44] and DALYs by 15% [9–21]) whereas their age-standardised rates decreased (deaths by 28% [26–30] and DALYs by 27% [24–31]) between 1990 and 2016. The only neurological disorders that had a decrease in rates and absolute numbers of deaths and DALYs were tetanus, meningitis, and encephalitis. The four largest contributors of neurological DALYs were stroke (42·2% [38·6–46·1]), migraine (16·3% [11·7–20·8]), Alzheimer's and other dementias (10·4% [9·0–12·1]), and meningitis (7·9% [6·6–10·4]). For the combined neurological disorders, age-standardised DALY rates were significantly higher in males than in females (male-to-female ratio 1·12 [1·05–1·20]), but migraine, multiple sclerosis, and tension-type headache were more common and caused more burden in females, with male-to-female ratios of less than 0·7. The 84 risks quantified in GBD explain less than 10% of neurological disorder DALY burdens, except stroke, for which 88·8% (86·5–90·9) of DALYs are attributable to risk factors, and to a lesser extent Alzheimer's disease and other dementias (22·3% [11·8–35·1] of DALYs are risk attributable) and idiopathic epilepsy (14·1% [10·8–17·5] of DALYs are risk attributable). Interpretation Globally, the burden of neurological disorders, as measured by the absolute number of DALYs, continues to increase. As populations are growing and ageing, and the prevalence of major disabling neurological disorders steeply increases with age, governments will face increasing demand for treatment, rehabilitation, and support services for neurological disorders. The scarcity of established modifiable risks for most of the neurological burden demonstrates that new knowledge is required to develop effective prevention and treatment strategies. Funding Bill & Melinda Gates Foundation.
                Bookmark

                Author and article information

                Contributors
                ducktseng@gmail.com
                mingkung180@gmail.com
                on5083@msn.com
                Journal
                J Headache Pain
                J Headache Pain
                The Journal of Headache and Pain
                Springer Milan (Milan )
                1129-2369
                1129-2377
                20 February 2022
                20 February 2022
                2022
                : 23
                : 1
                : 28
                Affiliations
                [1 ]GRID grid.256105.5, ISNI 0000 0004 1937 1063, Department of Neurology, Fu Jen Catholic University Hospital, , Fu Jen Catholic University, ; New Taipei City, Taiwan
                [2 ]GRID grid.260539.b, ISNI 0000 0001 2059 7017, Department of Neurology, School of Medicine, , National Yang-Ming University, ; Taipei, Taiwan
                [3 ]GRID grid.278247.c, ISNI 0000 0004 0604 5314, Division of Community & Rehabilitation Psychiatry, Department of Psychiatry, , Taipei Veterans General Hospital, ; Taipei, Taiwan
                [4 ]Department of Internal Medicine, E-DA Dachang Hospital, Kaohsiung, Taiwan
                [5 ]Division of General Surgery, Department of Surgery, E-Da Cancer Hospital, Kaohsiung, Taiwan
                [6 ]GRID grid.411447.3, ISNI 0000 0004 0637 1806, School of Medicine, College of Medicine, , I-Shou University, ; Kaohsiung, Taiwan
                [7 ]GRID grid.411508.9, ISNI 0000 0004 0572 9415, Department of Psychiatry & Mind-Body Interface Laboratory (MBI-Lab), , China Medical University Hospital, ; Taichung, Taiwan
                [8 ]GRID grid.254145.3, ISNI 0000 0001 0083 6092, College of Medicine, , China Medical University, ; Taichung, Taiwan
                [9 ]GRID grid.254145.3, ISNI 0000 0001 0083 6092, An-Nan Hospital, , China Medical University, ; Tainan, Taiwan
                [10 ]Department of Sports Medicine, Landseed International Hospital, Taoyuan, Taiwan
                [11 ]GRID grid.19188.39, ISNI 0000 0004 0546 0241, Institute of Epidemiology & Preventive Medicine, College of Public Health, , National Taiwan University, ; Taipei, Taiwan
                [12 ]GRID grid.412094.a, ISNI 0000 0004 0572 7815, Department of Dentistry, , National Taiwan University Hospital, ; Taipei, Taiwan
                [13 ]GRID grid.145695.a, ISNI 0000 0004 1798 0922, Department of Psychiatry, , Kaohsiung Chang Gung Memorial Hospital and Chang Gung University College of Medicine, ; No.123, Dapi Rd., Niaosong Dist, Kaohsiung City, 833 Taiwan
                [14 ]GRID grid.413804.a, Institute for Translational Research in Biomedical Sciences, Kaohsiung Chang Gung Memorial Hospital, ; Kaohsiung, Taiwan
                [15 ]GRID grid.13097.3c, ISNI 0000 0001 2322 6764, Department of Psychological Medicine, , Institute of Psychiatry, Psychology and Neuroscience, King’s College London, ; London, UK
                [16 ]GRID grid.37640.36, ISNI 0000 0000 9439 0839, Physiotherapy Department, , South London and Maudsley NHS Foundation Trust, ; London, UK
                [17 ]GRID grid.5115.0, ISNI 0000 0001 2299 5510, Positive Ageing Research Institute (PARI), Faculty of Health, Social Care Medicine and Education, , Anglia Ruskin University, ; Chelmsford, UK
                [18 ]GRID grid.1021.2, ISNI 0000 0001 0526 7079, Innovation in Mental and Physical Health and Clinical Treatment (IMPACT) Strategic Research Centre, School of Medicine, Barwon Health, , Deakin University, ; Geelong, VIC Australia
                [19 ]GRID grid.278244.f, ISNI 0000 0004 0638 9360, Department of Psychiatry, Beitou branch, Tri-Service General Hospital; School of Medicine, National Defense Medical Center, ; Taipei, Taiwan
                [20 ]GRID grid.260565.2, ISNI 0000 0004 0634 0356, Graduate Institute of Medical Sciences, , National Defense Medical Center, ; Taipei, Taiwan
                [21 ]GRID grid.260565.2, ISNI 0000 0004 0634 0356, Department of Psychiatry, Tri-Service General Hospital, , School of Medicine, National Defense Medical Center, ; Taipei, Taiwan
                [22 ]GRID grid.260539.b, ISNI 0000 0001 2059 7017, Institute of Brain Science, National Yang Ming Chiao Tung University, ; Taipei, 112 Taiwan
                [23 ]GRID grid.11899.38, ISNI 0000 0004 1937 0722, Service of Interdisciplinary Neuromodulation, National Institute of Biomarkers in Psychiatry, Laboratory of Neurosciences (LIM-27), Departamento e Instituto de Psiquiatria, , Faculdade de Medicina da USP, ; São Paulo, Brazil
                [24 ]GRID grid.11899.38, ISNI 0000 0004 1937 0722, Departamento de Ciências Médicas, , Faculdade de Medicina da USP, ; São Paulo, Brazil
                [25 ]GRID grid.252470.6, ISNI 0000 0000 9263 9645, Department of Psychology, College of Medical and Health Science, , Asia University, ; Taichung, Taiwan
                [26 ]GRID grid.252470.6, ISNI 0000 0000 9263 9645, Gender Equality Education and Research Center, , Asia University, ; Taichung, Taiwan
                [27 ]GRID grid.252470.6, ISNI 0000 0000 9263 9645, Department of Medical Research, Asia University Hospital, , Asia University, ; Taichung, Taiwan
                [28 ]GRID grid.254145.3, ISNI 0000 0001 0083 6092, Department of Medical Research, China Medical University Hospital, , China Medical University, ; Taichung, Taiwan
                [29 ]GRID grid.412036.2, ISNI 0000 0004 0531 9758, Institute of Biomedical Sciences, , National Sun Yat-sen University, ; Kaohsiung, Taiwan
                [30 ]Prospect Clinic for Otorhinolaryngology & Neurology, No. 252, Nanzixin Road, Nanzi District, Kaohsiung City, 81166 Taiwan
                [31 ]GRID grid.260539.b, ISNI 0000 0001 2059 7017, Division of Psychiatry, School of Medicine, , National Yang Ming Chiao Tung University, ; No. 201, Sec. 2, Shipai Road, Beitou District, Taipei City, 11267 Taiwan
                [32 ]GRID grid.260539.b, ISNI 0000 0001 2059 7017, Institute of Brain Science and Brain Research Center, School of Medicine, , National Yang Ming Chiao Tung University, ; Taipei, Taiwan
                [33 ]GRID grid.278247.c, ISNI 0000 0004 0604 5314, Functional Neuroimaging and Brain Stimulation Lab, , Taipei Veterans General Hospital, ; No. 201, Sec. 2, Shipai Road, Beitou District, Taipei City, 11267 Taiwan
                Author information
                http://orcid.org/0000-0001-5761-7800
                https://orcid.org/0000-0002-0670-1153
                Article
                1401
                10.1186/s10194-022-01401-3
                8903676
                35184742
                b49c3d27-d27e-4e63-a105-25acfc32bd03
                © The Author(s) 2022

                Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. The Creative Commons Public Domain Dedication waiver ( http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated in a credit line to the data.

                History
                : 14 December 2021
                : 7 February 2022
                Categories
                Research Article
                Custom metadata
                © The Author(s) 2022

                Anesthesiology & Pain management
                migraine,non-invasive brain stimulation,non-invasive nerve stimulation,network meta-analysis,response rate

                Comments

                Comment on this article