| Literature DB >> 32061264 |
Hong Deng1, Gai-Gai Li2, Hao Nie1, Yang-Yang Feng1, Guang-Yu Guo1, Wen-Liang Guo1, Zhou-Ping Tang3.
Abstract
BACKGROUND: Migraine is one of the most common neurological disorders that leads to disabilities. However, the conventional drug therapy for migraine might be unsatisfactory at times. Therefore, this meta-analysis aimed to evaluate the efficacy and safety of calcitonin-gene-related peptide binding monoclonal antibody (CGRP mAb) for the preventive treatment of episodic migraine, and provide high-quality clinical evidence for migraine therapy.Entities:
Keywords: Calcitonin gene-related peptide monoclonal antibody; Efficacy; Episodic migraine; Meta-analysis; Safety
Mesh:
Substances:
Year: 2020 PMID: 32061264 PMCID: PMC7023812 DOI: 10.1186/s12883-020-01633-3
Source DB: PubMed Journal: BMC Neurol ISSN: 1471-2377 Impact factor: 2.474
Fig. 1Flow diagram of study selection process
Characteristics of the included studies
| Study (reference no.) | Year | Study design (NCT No.) | Interventions | Sex (male/female),Age (mean ± SD) | Baseline Migraine-days per month (mean ± SD) | Follow-up |
|---|---|---|---|---|---|---|
| Uwe Reuter [ | 2018 | RCT phase3b, NCT03096834 | erenumab 140 mg Placebo | 24/97,44.6 ± 10.5 22/103,44.2 ± 10.6 | 9.2 ± 2.6 9.3 ± 2.7 | 12w |
| David W Dodick [ | 2017 | RCT phase 3, NCT02483585 | erenumab 70 mg Placebo | 41/245,42 ± 11 44/247,42 ± 12 | 8.1 ± 2.7 8.4 ± 2.6 | 12w |
| Peter J. Goadsby [ | 2017 | RCT phase 3, NCT02456740 | erenumab 70 mg Placebo | 49/268,41.1 ± 11.3 45/274,41.3 ± 11.2 | 8.3 ± 2.5 8.2 ± 2.5 | 24w |
| Hong Sun [ | 2016 | RCT phase 2, NCT01952574 | erenumab 70 mg Placebo | 25/82, 42.6 ± 9.9 28/132,41.4 ± 10.0 | 8.6 ± 2.5 8.8 ± 2.7 | 12w |
| David W Dodick [ | 2014 | RCT phase 2, NCT01772524 | Eptinezumab 1000 mg Placebo | 14/67,38.6 ± 10.8 16/66,39.0 ± 9.6 | 8.4 ± 2.1 8.8 ± 2.7 | 12w |
| David W. Dodick [ | 2018 | RCT phase 3, NCT02629861 | Fremanezumab 225 mg Placebo | 46/244,42.9 ± 12.7 47/247, 41.3 ± 12.0 | 8.9 ± 2.6 9.1 ± 2.7 | 12w |
| Marcelo E Bigal [ | 2015 | RCT phase 2b, NCT02025556 | Fremanezumab 225 mg Placebo | 9/87,40.8 ± 12.4 12/92,42.0 ± 11.6 | 11.5 ± 1.9 11.5 ± 2.24 | 12w |
| Vladimir Skljarevski | 2018 | RCT phase 2b, NCT02163993 | Galcanezumab 120 mg Placebo | 42/231,40.6 ± 11.9 28/109,39.5 ± 12.1 | 6.7 ± 2.6 6.6 ± 2.7 | 12w |
| Vladimir Skljarevski [ | 2017 | RCT Phase 3, NCT02614196 | galcanezumab 120 mg Placebo | 34/197,40.9 ± 11.2 68/393,42.3 ± 11.3 | 9.07 ± 2.9 9.2 ± 3.0 | 24w |
| Virginia L. Stauffer [ | 2018 | RCT phase 3, NCT02614183 | galcanezumab 120 mg Placebo | 32/181,40.9 ± 11.9 71/362,41.3 ± 11.4 | 9.2 ± 3.1 9.1 ± 3.0 | 24w |
| David W Dodick [ | 2014 | RCT phase 2, NCT01625988 | galcanezumab 150 mg Placebo | 19/88,40.9 ± 11.4 14/96,41.9 ± 11.7 | 6.7 ± 2.4 7.0 ± 2.5 | 12w |
RCT Randomized controlled trial, SD Standard deviation. #The specific information can only be achieved in the total CGRP monoclonal antibodies treatment group
Assessment on the methodological strategies of the included studies
| Trial ID | Random sequence generation | Allocation concealment | Blinding | Incomplete outcome data | Selective outcome reporting | Other sources of bias |
|---|---|---|---|---|---|---|
| Uwe Reuter 2018 | Low risk | Low risk | Low risk | Low risk | Low risk | Unclear risk |
| David W Dodick 2017 | Low risk | Low risk | Low risk | Low risk | Low risk | Unclear risk |
| Peter J. Goadsby 2017 | Low risk | Low risk | Low risk | Low risk | Low risk | Unclear risk |
| Hong Sun 2016 | Low risk | Low risk | Low risk | Low risk | Low risk | Unclear risk |
| David W Dodick 2014 | Low risk | Low risk | Low risk | Low risk | Low risk | Unclear risk |
| David W. Dodick 2018 | Low risk | Low risk | Low risk | Low risk | Low risk | Unclear risk |
| Marcelo E Bigal 2015 | Low risk | Low risk | Low risk | Low risk | Low risk | Unclear risk |
| Vladimir Skljarevski 2018 | Low risk | Low risk | Low risk | Low risk | Low risk | Unclear risk |
| Vladimir Skljarevski 2017 | Low risk | Low risk | Low risk | Low risk | Low risk | Unclear risk |
| Virginia L. Stauffer 2018 | Low risk | Low risk | Low risk | Low risk | Low risk | Unclear risk |
| David W Dodick 2014 | Low risk | Low risk | Low risk | Low risk | Low risk | Unclear risk |
Fig. 2Forest plot of CGRP mAb vs. placebo for the changes in baseline monthly migraine days. The estimated pooled WMD was − 1.44 (95% CI, − 1.68 to − 1.19) with high statistical significance (P < 0.00001). There was low heterogeneity among the studies (I2 = 6%). SD standard deviation, CI confidence interval, WMD weighted mean difference
Fig. 3Forest plot of CGRP mAb vs. placebo for the changes in baseline monthly acute migraine-specifc medication days. The estimated pooled WMD was − 1.28 (95% CI, − 1.66 to − 0.90) with high statistical significance (P < 0.00001). There was high heterogeneity among the studies (I2 = 77%). SD standard deviation, CI confidence interval, WMD weighted mean difference
Fig. 4Forest plot of CGRP mAb vs. placebo for the reduction of 50% responder rates. The estimated pooled RR was 1.51 (95% CI, 1.37 to 1.66) with high statistical significance (P < 0.00001). There was moderate heterogeneity among the studies (I2 = 48%). CI confidence interval, RR risk ratio
Fig. 5Forest plot of CGRP mAb vs. placebo for all types of adverse events. The estimated pooled RR was 1.01 (95% CI, 0.95 to 1.07) without statistical significance (P > 0.05). There was low heterogeneity among the studies (I2 = 24%). CI confidence interval, RR risk ratio
Summary of adverse events among the included RCTs
| CGRP mAb(n/N) | Placebo(n/N) | I2 | odds ratio [95% CI] | ||
|---|---|---|---|---|---|
| Withdrawal due to AEs | 38/1898 | 35/2504 | 0% | 1.46[0.90,2.37] | 0.12 |
| Specific AEs | |||||
| any serious events | 1115/1898 | 1472/2504 | 25% | 1.02[0.90,1.15] | 0.79 |
| dizziness | 29/835 | 31/1313 | 0% | 1.47[0.87,2.49] | 0.15 |
| fatigue | 36/1515 | 39/1825 | 0% | 1.15[0.72,1.83] | 0.55 |
| influenza | 26/1231 | 41/1758 | 5% | 0.87[0.53,1.45] | 0.6 |
| injection site pain | 167/1501 | 148/1837 | 35% | 1.44[1.13,1.84] | |
| migraine | 12/1086 | 17/1379 | 11% | 0.83[0.41,1.71] | 0.62 |
| nasopharyngitis | 115/1817 | 163/2422 | 1% | 0.96[0.75,1.24] | 0.78 |
| nausea | 34/1553 | 61/1919 | 0% | 0.68[0.45,1.05] | 0.08 |
| upper respiratory tract infection | 117/1692 | 123/2072 | 0% | 1.25[0.96,1.63] | 0.1 |
| urinary tract infection | 22/1270 | 33/1519 | 0% | 0.91[0.53,1.56] | 0.73 |
Fig. 6Random-effect model of trial sequential analysis for changes in monthly migraine days. The dashed red lines represent the trial sequential monitoring boundary (upper O’Brien Fleming with α = 5%, β = 20%, low risk of bias). Required information size (RIS) of 506 participants were calculated. Complete blue line represents cumulative Z-curve, which is well past the RIS needed. Cumulative Z-curve cross conventional boundary (complete red line) and the trial sequential monitoring boundary (dashed red line)
Fig. 7Funnel plot of effect size by standard error (surrogate for study size) across all studies. No obvious asymmetry was identified in the funnel plot, indicating that there was no publication bias. SE standard error, MD mean difference