Lasmiditan and Different Triptans in Menstrual Migraine: A Bayesian Network Meta-analysis.

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Tác giả: Zhouqing Chen, Jingyu Gu, Yanao Guo, Jian Li, Ruisi Qu, Zhaoming Song, Zhong Wang, Chen Yang

Ngôn ngữ: eng

Ký hiệu phân loại:

Thông tin xuất bản: New Zealand : Pain and therapy , 2025

Mô tả vật lý:

Bộ sưu tập: NCBI

ID: 676635

 INTRODUCTION: Menstrual migraine (MM) is a common subtype of migraine that greatly affects a woman's quality of life. A number of different drugs are used to treat menstrual migraine, but it is not known which is more effective. METHODS: In this study, we searched all randomized controlled trials that satisfied the inclusion and exclusion criteria up to December 2023 on PubMed, Embase and Cochrane Library using a suitable search strategy. We constructed a suitable network model for analysis after evaluating the heterogeneity among the included direct, indirect and pooled evidence. Odds ratio (OR) and corresponding 95% confidence intervals (CI) were used as valid indicators for this network meta-analysis. RESULTS: In the Bayesian network model we constructed, we found that lasmiditan (vs. placebo OR, 14
  95% CI 3.1-100) was better than rizatriptan (vs. placebo OR, 1.9
  95% CI 1.2-3.3) in terms of the rate of sustained freedom from pain. There was no statistically significant difference between lasmiditan and different triptans in terms of the rate of being pain-free at 2 h (2-h pain-free) and the rate of pain relief at 2 h (2-h pain relief). Regarding safety, the probability of adverse events was significantly higher for rizatriptan (OR, 2.7
  95% CI 1.1-7.3) than for placebo. CONCLUSION: In terms of treatment efficacy for MM, lasmiditan was not worse than different triptans and was even better than some of the triptans in the rate of sustained freedom from pain. As an emerging treatment, lasmiditan is promising for the treatment of MM. However, more research needs to be carried out because of the lack of safety analysis for lasmiditan.
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