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. 2018 Jan 21;8(1):e017392.
doi: 10.1136/bmjopen-2017-017392.

Comparative efficacy and acceptability of antiepileptic drugs for classical trigeminal neuralgia: a Bayesian network meta-analysis protocol

Zongshi Qin  1   2 , Shang Xie  3 , Zhi Mao  4 , Yan Liu  5 , Jiani Wu  1 , Toshi A Furukawa  6 , Joey S W Kwong  7 , Jinhui Tian  8 , Zhishun Liu  1
Affiliations

Comparative efficacy and acceptability of antiepileptic drugs for classical trigeminal neuralgia: a Bayesian network meta-analysis protocol

Zongshi Qin et al. BMJ Open. .

Abstract

Introduction: Trigeminal neuralgia (TN) affects 4 to 28.9/100 000 people worldwide, and antiepileptic drugs such as carbamazepine and oxcarbazepine are the firstline treatment options. However, the efficacy and safety of other antiepileptic drugs remain unclear due to insufficient direct comparisons.

Objective: To compare the efficacy and acceptability of all currently available antiepileptic agents for the treatment of patients with classical TN.

Methods: We will search the PubMed, EMBASE, Cochrane Library and Web of Science databases for unpublished or undergoing research listed in registry platforms. We will include all randomised controlled trials comparing two different antiepileptic drugs or one antiepileptic drug with placebo in patients with classical TN. The primary outcomes will be the proportion of responders and the number of subjects who dropout during the treatment. The secondary outcomes will include the two primary outcomes but in the follow-up period, changes in the self-reporting assessment scale for neuralgia and quality of life assessment. In terms of network meta-analysis, we will fit our model to a Bayesian framework using the JAGS and pcnetmeta packages of the R project.

Ethics and dissemination: This protocol will not disseminate any private patient data. The results of this review will be disseminated through peer reviewed publication.

Prospero registration number: CRD42016048640.

Keywords: antiepileptic drugs; network meta-analysis; protocol; systematic review; trigeminal neuralgia.

PubMed Disclaimer

Conflict of interest statement

Competing interests: None declared.

Figures

Figure 1
Figure 1
Network plot of all possible direct comparisons between the eligible interventions.
Figure 2
Figure 2
PRISMA flowchart. RCT, randomised controlled trial.
See this image and copyright information in PMC

References

    1. Headache Classification Committee of the International Headache Society (IHS). The international classification of headache disorders, 3rd edition (beta version). Cephalalgia 2013;33:629–808. 10.1177/0333102413485658 - DOI - PubMed
    1. Zakrzewska JM, Linskey ME. Trigeminal neuralgia. BMJ 2015;350:h1238 10.1136/bmj.h1238 - DOI - PubMed
    1. Mueller D, Obermann M, Yoon MS, et al. Prevalence of trigeminal neuralgia and persistent idiopathic facial pain: a population-based study. Cephalalgia 2011;31:1542–8. 10.1177/0333102411424619 - DOI - PubMed
    1. MacDonald BK, Cockerell OC, Sander JW, et al. The incidence and lifetime prevalence of neurological disorders in a prospective community-based study in the UK. Brain 2000;123:665–76. 10.1093/brain/123.4.665 - DOI - PubMed
    1. Devor M, Amir R, Rappaport ZH. Pathophysiology of trigeminal neuralgia: the ignition hypothesis. Clin J Pain 2002;18:4–13. 10.1097/00002508-200201000-00002 - DOI - PubMed

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