Dataset Information

Unveiling the comparative efficacy and tolerability of comprehensive treatments for migraine: A protocol of systematic review and Bayesian network meta-analysis.

ABSTRACT:

Background

Migraine is a chronic paroxysmal incapacitating neurological disorder, which endangers the health of human worldwide ranking as the third most prevalent medical condition. There are no comprehensive estimates of treatments for migraine. We will conduct this systematic review and Bayesian network meta-analysis (NMA) to synthesis quantitative and comparative evidence on the efficacy and tolerability of all the known pharmacological and non-pharmacological interventions for migraine.

Method

We will perform the systematic electronic search of the literature utilizing MEDLINE, Embase, Cochrane Central Register of Controlled Trials (CENTRAL), Cumulative Index to Nursing & Allied Health (CINAHL), and PsycINFO. We will only include randomized controlled trials (RCTs) of high quality which appraise the efficacy or safety of any potential pharmacological or non-pharmacological interventions in the treatment of patients with migraine. The traditional pairwise meta-analyses will be performed to anticipate the heterogeneities and publication bias and the NMA will be conducted within a Bayesian hierarchical model framework to obtain estimates for all valuable treatments for migraine. The entire heterogeneity will be quantified by Q statistic and I2 index. Other analyses included sensitivity analyses, meta-regression, and subgroup analyses will also be conducted. The whole process will be conducted using in R-3.6.0 software.

Results

This study will obtain the efficacy and tolerability of all potential treatments for migraine, aiming at providing consolidated evidence to help make the best choice of interventions. The results will be published in a peer-reviewed journal.

Discussion

This Bayesian network meta-analysis may be the first attempt to quantitatively synthesize the efficacy and tolerability of all potential treatments for migraine. And this method can ensure us to fully utilize both the direct and indirect evidence as well as gain the comparative estimates displayed in the derived hierarchies. Besides, we have registered this protocol on the international prospective register of systematic review (PROSPERO) (CRD42020157278).

SUBMITTER: Jin B

PROVIDER: S-EPMC7850759 | biostudies-literature | 2021 Jan

REPOSITORIES: biostudies-literature

ACCESS DATA

Publications

Unveiling the comparative efficacy and tolerability of comprehensive treatments for migraine: A protocol of systematic review and Bayesian network meta-analysis.

Jin Boru B Liu Huayan H Qiao Lei L

Medicine 20210101 4

<h4>Background</h4>Migraine is a chronic paroxysmal incapacitating neurological disorder, which endangers the health of human worldwide ranking as the third most prevalent medical condition. There are no comprehensive estimates of treatments for migraine. We will conduct this systematic review and Bayesian network meta-analysis (NMA) to synthesis quantitative and comparative evidence on the efficacy and tolerability of all the known pharmacological and non-pharmacological interventions for migra ...[more]

PMID: 33530202

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Project description:BACKGROUND:To provide evidence for medical management of chronic idiopathic constipation (CIC) in China based on comparisons of all clinical practical interventions using Bayesian network meta-analysis. METHODS:We conducted a systematic literature review by searching PubMed, Embase, Cochrane Central, the China National Knowledge Infrastructure (CNKI), and the Wanfang Database (inception to May 2019) for randomized controlled trials (RCTs) for CIC in Chinese people. Only RCTs that recruited participants aged over 18 and diagnosed with CIC by the Rome II, III or IV criteria were included. We used three outcomes to examine efficacy. The risk ratio (RR) of the responder rate, based on ≥3 spontaneous bowel movements (SBMs) per week after treatment, was the primary outcome, and the SBM count per week and the Bristol score (BS) were secondary outcomes. In addition, adverse effects (AEs) were also considered a secondary outcome to evaluate safety. We conducted Bayesian network meta-analysis with random effects, and the RR or mean difference with its 95% credible interval was calculated. In addition, we ranked all treatments via their cumulative curves (SUCRA) and assessed the quality of evidence according to the GRADE criteria. RESULTS:We included a total of 42 trials (6820 participants) of 20 grouped interventions that included pharmacological and nonpharmacological treatments. For the primary outcome, fourteen interventions were significantly better than placebo, and Probiotics plus Mosapride (PB + MP) appeared superior to others (GRADE quality of evidence: Moderate to Low), followed by Prucalopride (PP) (High to Low) and Electroacupuncture (EA) (High to Low). For SBM, Compound sodium bicarbonate suppository (CSBS) appeared to be best, with an SUCRA value of 90% (High to Low). For BS, Lactulose plus Probiotics (LT + PB) was superior to others (Moderate to Low), followed by Polyethylene glycol (PEG) (High to Moderate). Although all interventions appeared non-significant when compared with placebo in terms of adverse effects, Lactulose plus Mosapride showed greater risk than others on ranking probability. CONCLUSIONS:Given the GRADE assessment, PB + MP, PP and EA may be the priory options with moderate certainty in the quality of evidence for the primary outcome. For SBM, a CSBS may be the best option with moderate certainty in the quality of evidence. For BS, PEG may be the priory option with high certainty in the quality of evidence. However, due to a lack of high certainty in the quality of evidence, caution is needed when recommending the interventions. Because of the limitations, an increased number of trials are required for more accurate results.

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Dataset Information

Unveiling the comparative efficacy and tolerability of comprehensive treatments for migraine: A protocol of systematic review and Bayesian network meta-analysis.

Background

Method

Results

Discussion

Publications

Unveiling the comparative efficacy and tolerability of comprehensive treatments for migraine: A protocol of systematic review and Bayesian network meta-analysis.

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