Skip to main content

Relative efficacy of lasmiditan versus rimegepant and ubrogepant as acute treatments for migraine: network meta-analysis findings

Abstract

Background

In the absence of head-to-head trials, comprehensive evidence comparing onset of efficacy of novel agents for acute treatment of migraine is lacking. This study aimed to explore the relative efficacy of lasmiditan (serotonin [5-hydroxytryptamine] 1F receptor agonist) versus rimegepant and ubrogepant (calcitonin gene-related peptide antagonists) for the acute oral treatment of migraine through network meta-analysis (NMA).

Methods

Data included in the NMA were identified through a systematic literature search (conducted April 2018, updated May/December 2020) of phase II–IV, randomised controlled trials (RCTs) in adults with chronic/episodic migraine with/without aura. Treatments included: lasmiditan 50, 100, 200 mg; rimegepant 75 mg; ubrogepant 25, 50, 100 mg. Pairwise treatment comparisons from Bayesian fixed-effect/random-effects NMA, adjusted by baseline risk where appropriate, were conducted. Comparisons were reported as odds ratios with 95% credible intervals. Early-onset efficacy endpoints included: pain freedom at 2 hours and pain relief at 1 and 2 hours. Adverse drug reaction (ADR) profiles were summarised. Heterogeneity and inconsistency in the network were explored; sensitivity analyses investigated robustness of findings.

Results

Across 12 RCTs included in the base case, females represented >80% of included patients (mean age 37.9–45.7 years). Odds of achieving both pain freedom and pain relief at 2 hours were higher with lasmiditan 100 and 200 mg versus rimegepant 75 mg and ubrogepant 25 and 50 mg. Results for pain relief at 1 hour were consistent with those at 2 hours, but fewer comparisons were available. There were no statistically significant differences between lasmiditan 50 mg and ubrogepant or rimegepant for any outcome. Sensitivity analyses were in the same direction as base case analyses. Most commonly reported ADRs (incidence ≥2%) were: dizziness, fatigue, paraesthesia, sedation, nausea/vomiting and muscle weakness with lasmiditan; nausea with rimegepant; and nausea, somnolence and dry mouth with ubrogepant.

Conclusions

The efficacy findings of this indirect comparison indicate that lasmiditan 100 mg or 200 mg might be an appropriate acute treatment option for patients with migraine seeking a fast onset of action. Differently from rimegepant and ubrogepant, lasmiditan use is associated with mainly neurological events, which are mostly mild or moderate in severity and self-limiting.

350/350 words

Peer Review reports

Background

Migraine is a highly prevalent common primary headache disorder with a high associated socioeconomic and patient-level burden [1, 2]. In 2016, migraine was the second leading cause of years lived with disability worldwide, after low back pain [3].

Pharmacological management options for migraine include acute treatment, emergency treatment and preventive treatment [4]. Acute treatments for migraine aim to achieve rapid and sustained freedom from pain and other migraine-associated symptoms, restore functional ability and minimise the use of rescue medication, repeat doses and healthcare resources, and the occurrence of adverse events (AEs) [5]. Triptans are considered the current standard of care for the acute treatment of migraine attacks of moderate to severe severity [6]; however, the vasoconstrictive properties of triptans preclude their use in patients with underlying cardiovascular diseases or those at risk of certain adverse cardiovascular events [7, 8]. Additionally, although beneficial in some people, many patients exhibit insufficient efficacy and/or tolerability to triptan therapy, and hence have a high unmet need for an effective acute treatment for migraine [9]. A US longitudinal population-based study (American Migraine Prevalence and Prevention) found that, of more than 5500 people with episodic migraine, 41% reported having at least one unmet treatment need with their current acute treatment, which included dissatisfaction with treatment efficacy and safety [10].

The fact that triptans are contraindicated in some patients with cardiovascular disease [11] led to the development of the first-in-class ditan, lasmiditan. Lasmiditan is a centrally penetrant, high-affinity, highly selective serotonin (5-hydroxytryptamine) 1F receptor (5-HT1F) agonist that exerts its therapeutic effects by blocking activation of the trigeminal neurones, thus inhibiting migraine attack pain pathways, without causing vasoconstriction in human coronary arteries [12].

Recently, other acute treatments for migraine have also become available. The gepants rimegepant and ubrogepant are orally administered antagonists of the calcitonin gene-related peptide (CGRP) receptor that competitively block the effects of CGRP [13, 14].

Although lasmiditan [15,16,17,18,19], rimegepant [20,21,22,23] and ubrogepant [24,25,26,27] have all shown efficacy as acute treatments for migraine in a range of placebo-controlled randomised controlled trials (RCTs), direct comparisons in the form of head-to-head RCTs are lacking. In the absence of such data, network meta-analysis (NMA) offers a way of comparing interventions simultaneously in a single analysis. To date, three NMAs have been published, comparing the efficacy of lasmiditan, rimegepant and ubrogepant – those of Johnston et al. 2022 [28], Agboola et al. 2020 [29] and Yang et al. 2021 [30]. Since publication of these NMAs, new key data/evidence for lasmiditan have become available from the registration studies CENTURION [17] and MONONOFU [18]. The aim of this study was, therefore, to explore the relative efficacy of lasmiditan compared to both rimegepant and ubrogepant for the acute treatment of migraine through an NMA including the most up-to-date evidence available and to explore early onset endpoints.

Methods

Systematic literature review

A general systematic literature review (SLR) was carried out to identify phase II–IV RCTs of any acute medication used for the treatment of patients with chronic or episodic migraine with or without aura. Conduct of the SLR was compliant with guidelines provided by the Cochrane Collaboration, Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) [31] and the Centre for Reviews and Dissemination [32].

The original literature search was conducted on 4 April 2018 and updated using the same methodology on 26 May and 15 December 2020. A more recent search of the literature, conducted on 31 August 2021, identified no additional studies. Searches in MEDLINE®, MEDLINE® In-process, Epubs ahead of print, Embase and the Cochrane Central Register of Controlled Trials via the OVID SP® search engine were conducted using search strategies specific to each database (see Supplementary Table 1). Additional searches were conducted of conference abstracts presented at the American Headache Society, International Headache Society, American Academy of Neurology and the European Headache Federation (2019–2020), and of Clinicaltrials.gov and the World Health Organization International Clinical Trials Registry Platform Search Portal to identify ongoing trials (December 2020).

Eligibility criteria for inclusion in the SLR are summarised in Supplementary Table 2. Non-RCTs and publications in any language other than English were excluded. Study abstracts and full-text articles were reviewed according to the eligibility criteria by two independent systematic reviewers, with any queries being referred to a third reviewer. Data (including study characteristics, patient characteristics, efficacy outcomes data and safety outcomes) were extracted and independently checked. In an effort to reduce publication bias, data reported only in figures in included articles were digitally extracted using WebPlotDigitizer [33]. Risk of bias assessments (including randomisation and concealment allocation methods, description and method of blinding [participants, care providers and outcome assessors], incomplete outcome data and selective reporting [not possible for conference abstracts due to text limitations]) were conducted and reported for the studies included in the NMA.

NMA

All analyses were conducted using R (version 3.2.2) and JAGS (version 3.4) to perform the Markov Chain Monte Carlo sampling to fit Bayesian NMA.

For the purpose of conducting the current NMA, which aimed to explore specifically the relative efficacy of lasmiditan, rimegepant and ubrogepant for the acute treatment of migraine, RCTs identified in the SLR were further selected if they satisfied the NMA-specific population, intervention, comparator and outcome selection (PICOS) statement Table 1.

Table 1 Population, intervention, comparator and outcome selection (PICOS) criteria

Bayesian hierarchical NMA was used to estimate differences in efficacy between lasmiditan and each of the gepants, rimegepant and ubrogepant, and was conducted in accordance with guidelines set by the National Institute for Health and Clinical Excellence Decision Support Unit [35]. Discontinuation due to AEs was chosen for estimating differences in safety; however, due to the finding that all studies either reported no information or zero events in all treatment arms (with the exception of one event for lasmiditan 100 mg in the SPARTAN study [2]), models for discontinuation due to AEs had poor fit and no quantitative comparative assessment could be performed. The adverse drug reaction (ADR) profiles of the three agents according to the US prescribing information were therefore summarised.

The base case model of the NMA consisted of all relevant RCTs identified following application of the PICOS statement Table 1 to studies identified in the SLR. Fixed-effect and random-effects models were performed for each endpoint. Choice of model (fixed effect or random effect; Supplementary Table 3) for each analysis was evaluated on the model fit as measured by: deviance information criteria; assessment of residual deviance; convergence of the models; whether there were sufficient data to inform the random effects between-study variance; and whether there was evidence that the random effects prior dominated the posterior simulations indicating that there was insufficient heterogeneity in the data to inform this additional parameter. Convergence for all models was assessed using trace plots as modified by Brooks et al. [36].

Heterogeneity was explored visually by inspecting the magnitude and variability of the study results within each forest plot and by evaluating the inconsistency parameter (I2), the between studies variance, and the heterogeneity statistic Q. Due to differences in the placebo response across trials and its potential impact on treatment effect [37], models (e.g., those for the pain freedom outcomes) were adjusted for baseline risk (i.e., placebo response) when appropriate.

Pairwise treatment comparisons were conducted in accordance with published guidelines [35]. Comparisons were reported as odds ratios (ORs) with 95% credible interval (Crl) (OR >1 indicated greater odds that findings favoured the lasmiditan arm over the comparator arm for each endpoint). 95% CrI that did not include 1.00 were considered to show a statistical difference. As all the outcomes assessed were binary, a binomial distribution was assumed.

Surface under the cumulative ranking curve (SUCRA) values [38] were used to capture any uncertainty in the estimates by taking into account the full area under the ranking curves. SUCRA values range from 0% to 100%, where 100% represents the certainty that a treatment is the best of those analysed and 0% represents the certainty that a treatment is the worst.

For each Bayesian Markov Chain Monte Carlo three chains were used, each comprising 480,000 samples after discarding 80,000 samples as burn-in and thinning by a rate of 24. The number of samples was doubled when there was evidence of non-convergence or autocorrelation. The initial values for these parameters and each chain were chosen by selecting random samples from a normal distribution with mean 0 and variance 1.

For the relative treatment effects and study-specific effects, μi1 and δi1kI{k>1}, a normal distribution with mean 0 and variance 10.000 was chosen, N(0,1002). For the between-study variance, \({\sigma}_{\delta}^2,\) an uninformative uniform of parameters 0 and 2 was placed, U [0,2]. This distribution assumes that any value between 0 and 2 is equally likely to represent the between-study standard deviation in the treatment effects. An informative prior for the between-study variance was tested in case there was indication of non-convergence of the models (\({\sigma}_{\delta}^2\) ~ LN(-2.06, 1.512) (where LN is the lognormal distribution) [39, 40], but was not found to improve convergence.

A series of sensitivity analyses were performed depending on the availability of data within the networks and chosen base case analysis:

  • Sensitivity analysis 1 – including only phase III trials.

  • Sensitivity analysis 2 – analysing rimegepant according to its mode of administration (tablet or oral disintegrating tablet [ODT]).

  • Sensitivity analysis 3 – exploration of very early-onset pain freedom (at 30 min and 1 hour), pain relief (at 30 min) and most bothersome symptom (MBS) freedom at 1 hour.

Results

Across the SLR (original search, and May and December 2020 updates), a total of 6240 records were identified for review. An additional 358 records were identified through the search of conferences/registries. After 647 duplicates were removed, 5951 records were reviewed for inclusion, from which 5071 were excluded after screening. After full-text review of 880 records, 286 publications detailing 221 primary publications and 65 secondary publications were identified having met the inclusion criteria for the SLR. Application of PICOS criteria for the current NMA Table 1 resulted in exclusion of a further 209 publications. Hence, a total of 12 primary publications (detailing 12 studies) (including 3 from the original SLR, and 7 and 2, respectively, from the May and December 2020 updates) were included in the NMA (Fig. 1). Table 2 provides information on the interventions and outcomes assessed in the NMA, for each of the included studies. All the included studies were published between 2012 and 2020, and study designs were similar and consistent with then current clinical guidelines (see Supplementary Table 4 for more information). Baseline patient characteristics were comparable between the studies Table 3. Across all studies, females represented over 80% of the included patients and mean age ranged from 37.9 to 45.7 years.

Fig. 1
figure 1

PRISMA diagram representing the studies included in different stages of the SLR and current NMA. The SLR was first run in April 2018, and updated in May 2020 and December 2020. A more recent search of the literature, conducted on 31 August 2021, identified no additional studies. *Applies only to abstracts screened for full-text articles. A few prespecified specific conference abstracts and years were screened separately; therefore, conference abstracts and articles for which only information in abstract form were excluded from the main screening. **Abstract was a multiple attack study for which information was available only in aggregated form. ***Crossover study was a conference abstract for which aggregated data only were available. †No data were extracted from secondary publications. NMA, network meta-analysis; PICOS, population, intervention, comparator and outcome selection; PRISMA, Preferred Reporting Items for Systematic Reviews and Meta-Analyses; SLR, systematic literature review

Table 2 Included studies: interventions and outcomes assessed in the NMA
Table 3 Included studies: baseline patient characteristics

In risk of bias analyses, a majority of the studies included in the NMA were assessed at low or unclear risk (Supplementary Figure 1).

Assessment of heterogeneity

Between-trial heterogeneity for 11 of the 40 pairwise meta-analyses of each treatment comparison for each endpoint of interest with direct evidence was substantial (I2 values >50%, mainly for between-treatment comparisons for pain-free at 2 hours and sustained pain-free at 24 hours). This heterogeneity for some comparisons within these endpoints were supported by p-values for the Q-statistic. The heterogeneity did not appear to be a result of differences in study design, as this was almost identical across studies, but may have been related to different placebo effects caused by different methods of recruitment, investigator training or non-measured variables; as noted, the populations of each study appeared to be similar Table 3. Bubble plots showing the treatment effect by placebo response for all outcomes investigated in the NMA are provided in Supplementary Figure 2. As treatment effect was associated with placebo response (decreasing across all treatments in line with placebo response increases) for the endpoints pain freedom at 2 hours and sustained pain freedom over 24 hours, models adjusted for baseline risk were used for these outcomes.

Base case

Pain freedom at 2 hours

The base case network diagram for pain-freedom at 2 hours is shown in Fig. 2. In total, 12 studies and eight treatment nodes were included for this outcome Table 2.

Fig. 2
figure 2

Network diagrams: base case analysis for pain freedom at 2 hoursa (12 randomised controlled trials). aAssessed using Bayesian fixed-effects model adjusted for baseline risk (36 observations; residual deviance = 36.26). Lines are weighted according to the number of studies comparing the two treatments, and the radius of the circle indicates the number of studies within a given treatment arm

All doses of lasmiditan (50, 100, 200 mg) and both gepants exhibited statistically significant higher odds of inducing pain freedom at 2 hours versus placebo (Supplementary Figure 3). The odds of achieving pain freedom at 2 hours were statistically significantly higher with lasmiditan 200 mg than with all doses of both gepants, and with lasmiditan 100 mg than with rimegepant 75 mg and ubrogepant 25 mg and 50 mg (Fig. 3a). Lasmiditan 50 mg presented higher odds of inducing pain freedom at 2 hours than rimegepant 75 mg, and ubrogepant 25 and 50 mg; however, these differences were not significant. Using a fixed effects analysis with no adjustment for baseline risk showed a small but perceptible difference between the unadjusted and adjusted analyses (Supplementary Figure 4).

Fig. 3
figure 3

NMA results for pain freedom at 2 hours. aSensitivity analysis 2 analysed rimegepant according to its mode of administration (tablet or ODT). Pairwise treatment comparisons – results from Bayesian fixed-effects NMA adjusted for baseline risk (base case analysis: 36 observations, residual deviance = 36.26 [adjusted baseline risk: mean -0.54 (95% Crl -0.73, -0.28)]; sensitivity analysis 2: 36 observations, residual deviance = 35.74 [adjusted baseline risk: mean -0.52 (95% Crl -0.71, -0.25)]). Crl, credible interval; NMA, network meta-analysis; ODT, oral disintegrating tablet; OR, odds ratio

The results of both sensitivity analysis 1, including only phase III trials (shown in Supplementary Figure 5), and sensitivity analysis 2, which analysed rimegepant according to its mode of administration (tablet or ODT) (Fig. 3b), were consistent with those of the base case model.

Pain relief at 2 hours and 1 hour

A total of 12 studies and eight treatment nodes were included for the base case outcome of pain relief at 2 hours. In total, seven studies (data for ACHIEVE I and ACHIEVE II were extracted from a pooled analysis of both studies) and six treatment nodes were included for the base case outcome of pain relief at 1 hour Table 2.

All doses of lasmiditan and both gepants showed statistically significant higher odds of inducing a reduction in headache pain at both 2 hours and 1 hour versus placebo (Supplementary Figure 3). Lasmiditan (100 and 200 mg) was associated with statistically significant higher odds of achieving a reduction in headache pain at 2 hours and 1 hour versus both gepants (Supplementary Figure 6a, Supplementary Figure 7). The odds of achieving a reduction in headache pain with lasmiditan 50 mg were comparable to those with rimegepant 75 mg (at both 2 hours and 1 hour) and ubrogepant 25 (at 2 hours), 50 (at both 2 hours and 1 hour) and 100 mg (at 2 hours).

The results of both sensitivity analysis 1 (shown in Supplementary Figure 5), and sensitivity analysis 2 (Supplementary Figure 6b, pain relief at 2 hours only) were consistent with those of the base case models (note: sensitivity analysis 2 could not be performed for pain relief at 1 hour as no suitable data were available for rimegepant tablets. Exceptions included that although lasmiditan 100 and 200 mg improved the odds of achieving pain relief at 2 hours versus ubrogepant 100 mg (sensitivity 1) and rimegepant 75 mg ODT (sensitivity 2), these differences did not reach significance.

MBS freedom at 2 hours

In total, nine studies and eight treatment nodes were included for this outcome Table 2.

All doses of lasmiditan and of both gepants demonstrated statistically significant higher odds of inducing MBS freedom at 2 hours versus placebo (Supplementary Figure 3). Lasmiditan 200 mg was associated with higher odds of achieving MBS freedom at 2 hours compared with all doses of both rimegepant and ubrogepant, but the differences did not reach significance; little difference was seen between lasmiditan 100 mg and all doses of both rimegepant and ubrogepant (Supplementary Figure 8a). Lasmiditan 50 mg presented similar odds of inducing MBS freedom versus ubrogepant 25 mg and lower odds of inducing MBS freedom versus rimegepant 75 mg, and ubrogepant 50 and 100 mg (not statistically significant).

The pairwise results for sensitivity analyses 1 (Supplementary Figure 5) and 2 (Supplementary Figure 8b) for MBS free at 2 hours were generally consistent with those of the base case analysis.

Sustained pain freedom over 24 hours

In total, 11 studies and eight treatment nodes were included for this outcome Table 2.

All doses of lasmiditan and both gepants were associated with statistically significant higher odds of achieving sustained pain freedom over 24 hours versus placebo (Supplementary Figure 3). The odds of achieving sustained pain freedom with lasmiditan 200 mg were statistically significantly higher versus ubrogepant 25 mg and 50 mg and numerically (but not significantly) higher versus ubrogepant 100 mg and rimegepant 75 mg (Supplementary Figure 9a). The odds of achieving sustained pain freedom over 24 hours with lasmiditan 100 and 50 mg were higher versus ubrogepant 25 and 50 mg and similar or lower versus rimegepant 75 mg and ubrogepant 100 mg (no statistical significance). Using a fixed effects analysis with no adjustment for baseline risk showed a small but perceptible difference between the unadjusted and adjusted analyses (Supplementary Figure 10).

Pairwise results for sensitivity analyses 1 (Supplementary Figure 5) and 2 (Supplementary Figure 9b) for sustained pain freedom over 24 hours were consistent with those of the base case analysis.

Median event rates and SUCRA values

Rankings and SUCRA percentages of the interventions by study and outcomes are presented in Supplementary Table 5. Lasmiditan 200 mg ranked highest on most of the base case outcomes analysed.

Very early-onset outcomes (sensitivity 3 analyses)

In total, seven studies were included for the pain relief at 30 min outcome and six for other outcomes included in these analyses (pain freedom 1 hour and at 30 min and MBS freedom at 1 hour), covering seven and six treatment nodes, respectively (Table 2).

The odds of achieving pain freedom at 1 hour was statistically significantly higher with all doses of lasmiditan than ubrogepant 50 mg (Supplementary Figure 11). The odds of achieving pain freedom at 30 min with lasmiditan 200 mg were higher than with ubrogepant 50 mg, and lower with lasmiditan 100 mg and 50 mg versus ubrogepant 50 mg, but none of these differences met statistical significance (Supplementary Figure 11).

When pain relief at 30 min was considered, ORs were statistically significantly higher with lasmiditan 200 mg versus rimegepant 75 mg ODT and ubrogepant 50 mg, and with lasmiditan 100 mg versus ubrogepant 50 mg, but did not achieve statistical significance in the pairwise comparison of lasmiditan 100 mg versus rimegepant 75 mg ODT or any comparison involving lasmiditan 50 mg. The odds of achieving MBS freedom at 1 hour were statistically significantly higher with both lasmiditan 100 mg and 200 mg versus ubrogepant 50 mg but did not differ for lasmiditan 50 mg versus ubrogepant 50 mg (Supplementary Figure 11).

ADRs

According to US prescribing information, the most common ADRs (with an incidence ≥2%, and higher than with placebo) reported in clinical trials with lasmiditan 50/100/200 mg were dizziness (9%/15%/17%), paraesthesia (3%/7%/9%), sedation (6%/6%/7%), fatigue (4%/5%/6%), nausea and/or vomiting (3%/4%/4%) and muscle weakness (1%/1%/2%) [41]. Nausea (2%) was the most common ADR reported with rimegepant ODT [42], and nausea (2%/4%), somnolence (sedation and fatigue) (2%/3%) and dry mouth (<1%/2%) were the most common ADRs reported with ubrogepant 50/100 mg [43].

Discussion

In the current analyses, lasmiditan 200 mg showed statistically significant higher efficacy than all doses of both rimegepant and ubrogepant on the endpoints of pain freedom at 2 hours, pain relief at 2 hours and 1 hour, and numerically higher efficacy than both gepants for sustained pain freedom and freedom from MBS. Lasmiditan 100 mg showed statistically significant higher efficacy than both rimegepant 75 mg and ubrogepant 25 mg and 50 mg, and similar efficacy to ubrogepant 100 mg, on the endpoint of pain freedom at 2 hours. Additionally, lasmiditan 100 mg showed statistically significant higher efficacy than all doses of both rimegepant and ubrogepant on the endpoints of pain relief at 2 hours and 1 hour, with similar efficacy to ubrogepant 25 mg and 50 mg on the endpoint of sustained pain freedom and to ubrogepant 25 mg on the endpoint of MBS freedom. No statistically significant differences were found between lasmiditan 50 mg and ubrogepant or rimegepant for any outcome. Overall, the results of base case analyses were supported by those of sensitivity analyses. According to US labelling information, lasmiditan use is associated with mainly neurological events, such as dizziness, fatigue, paraesthesia and sedation [41], whereas rimegepant and ubrogepant are associated with low incidences of nausea (rimegepant) and somnolence, dry mouth and nausea (ubrogepant) [42, 43].

People with migraine consider rapid and sustained freedom from pain and MBS important attributes of an acute treatment for migraine, and these outcomes are recommended treatment goals for a migraine attack [4, 5, 44]. Insufficient efficacy or tolerability of an acute treatment for migraine can lead to non-adherence [45].

Our findings are supported by those of three other NMAs comparing the efficacy of lasmiditan, rimegepant and ubrogepant, although differences in design limit detailed comparisons between the NMAs. The NMA of Johnston et al. [28] included five phase III RCTs and compared the efficacy of lasmiditan, rimegepant (ODT only) and ubrogepant (at the same doses examined in the current NMA) in a subset of the outcomes included in the current study – pain freedom at 2 hours, pain relief at 2 hours, MBS freedom at 2 hours and sustained pain freedom over 24 hours. Johnston et al. [28] reported risk differences rather than ORs, precluding the comparison of risk data, but using SUCRA ranking, lasmiditan 200 mg was found to rank the highest of the investigated interventions on the outcomes of pain freedom at 2 hours, pain relief at 2 hours and MBS freedom at 2 hours, and was second to rimegepant ODT for sustained pain freedom over 24 hours. These findings agree closely with those of the current analysis, which also found lasmiditan 200 mg to rank highest on a majority of the outcomes assessed.

In another NMA, Agboola et al. [29] compared the efficacy of lasmiditan, rimegepant (ODT/tablet not differentiated), ubrogepant (using data from 10 RCTs) and two triptans, eletriptan and sumatriptan (23 RCTs). After adjusting for placebo response, the odds of achieving pain freedom (OR 1.43, 95% Crl 0.97, 2.06 vs rimegepant 75 mg) and pain relief (OR 1.16, 95% Crl 0.87, 1.52 vs rimegepant 75 mg and 1.15, 95% Crl 0.85, 1.58 vs ubrogepant 50/100 mg [pooled data]) at 2 hours were higher with lasmiditan (200/100 mg [pooled data]) [46]. Although in the same direction as the findings from the current NMA, these differences did not reach statistical significance. Additionally, the Crls reported in the current NMA are smaller than those reported in the NMA by Agboola et al. [29], and so provided greater precision around the estimate.

In the largest of these NMAs, Yang et al. [30] included a total of 64 double-blind RCTs with the aim of comparing the efficacy of lasmiditan, rimegepant, ubrogepant, triptans and other currently available migraine-specific acute treatments. In comparisons between lasmiditan (50 and 100 mg), rimegepant (75 mg ODT/tablet not differentiated) and ubrogepant (50 and 100 mg), no statistically significant differences in the odds of achieving pain freedom or pain relief at 2 hours were seen.

Notable differences between these NMAs and the current NMA include that CENTURION [17] and MONONOFU study findings [18] were unavailable at the time of publication of the above-mentioned NMAs; hence, none of the three NMAs included lasmiditan data from these sources. As CENTURION was a multicountry study and MONONOFU focused on an Asian population, we consider that inclusion of these studies in the current NMA has enriched the representativeness of its findings. Additionally, Yang et al. [30] did not include lasmiditan 200 mg in their analyses, limiting them to doses in widespread clinical use at the time the analysis was conducted. Johnston et al. [28] did not include phase II studies for any of the interventions studied, and the NMAs by Johnston et al. [28] and Yang et al. [30] used fixed-effect and random-effects models, respectively, with no adjustment for baseline risk (placebo response). In the current NMA, the assessment of heterogeneity identified different placebo responses across the included trials and, given the possible impact of this on treatment effects [37], the most affected models (e.g., those for the pain freedom outcomes) were adjusted for baseline risk when appropriate. Finally, none of these earlier NMAs examined the impact of lasmiditan, rimegepant or ubrogepant on the onset of pain outcomes prior to 2 hours. In the current NMA, lasmiditan 200 mg and 100 mg were associated with consistently statistically significant higher efficacy versus ubrogepant across a range of very early-onset pain outcomes, including pain freedom at 1 hour, MBS freedom at 1 hour and pain relief at 30 min.

Another difference between the current NMA and those by Johnson et al. [28], Yang et al. [30] and Agboola et al. [29] was that individual AEs were not included as an outcome in our NMA, for a number of reasons. First, published studies often report serious AEs or AEs only if they are above a particular threshold (e.g., 5% or 10%). Hence, if treatments have different AE profiles (as seen here for lasmiditan, rimegepant and ubrogepant), to what and how do you assign events to specific AEs when they are not reported? Assigning zeros into a network provides methodological challenges and requires additional assumptions to get convergence. A second problem involves the lack of a common comparator. The performance of NMAs and adjusted indirect comparisons is based on the assumption that the networks are connected by a common arm. In the current NMA all the included studies were placebo-controlled trials; hence, for the NMA to be valid, then all the study designs for the placebo arms needed to be similar. In our analyses of short-term efficacy outcomes (up to 2 hours) and the sustained pain freedom outcome (which excluded use of rescue medication [for a definition, see Table 1]) this assumption was valid. However, AEs are usually reported for the full trial period (generally 48 hours), and most of the included studies allowed the use of rescue therapy for those not responding to a first dose of treatment. As the timing and the type of rescue treatment allowed after the initial 2 hours differed between studies, and placebo recipients frequently required rescue medication, there was no longer a common placebo arm through which to join the active treatments in the NMA.

An attempt to assess safety by analysing discontinuations due to AEs as an outcome in the current NMA was precluded by a lack of such events across the included studies. We therefore summarised the reported ADRs for lasmiditan, rimegepant and ubrogepant, according to the US prescribing information. As expected, in light of their different mechanisms of action, the ADR profiles of the three agents differ notably. Lasmiditan use is associated with mainly neurological events (e.g., dizziness, fatigue, paraesthesia and sedation) [41], nausea is the most common ADR reported with rimegepant [42], and nausea and somnolence are the most common ADRs reported with ubrogepant [43]. These findings are in line with the NMA by Johnston et al. [28], which found dizziness, nausea and somnolence to be the most commonly reported AEs with lasmiditan, rimegepant and ubrogepant, respectively. Moreover, an analysis of the safety profile of lasmiditan using data from the SAMURAI and SPARTAN phase III RCTs (both included in the current NMA) found that lasmiditan use was associated with neurological treatment-emergent AEs, including dizziness, fatigue, paraesthesia and somnolence [47]. AEs associated with lasmiditan were mostly of short duration and mild or moderate in severity, occurring within ~30 to 50 min post-dosing [47]. Further published data characterising the tolerability profiles of rimegepant and ubrogepant are currently unavailable [48].

Of note, lasmiditan, rimegepant and ubrogepant all lack the vasoconstrictive effects associated with triptans, which have led to contraindications to triptan use in certain high-risk patients [8, 49].

This NMA used a connected network of studies that were well balanced in design and baseline characteristics. Nevertheless, there are a number of limitations to the study that should be recognised. When interpreting the results, it should be noted that due to issues with model convergence, random-effects models were not always feasible where there was evidence of heterogeneity. Steps taken to address heterogeneity in the models included considering the use of informative priors with no improvement or use of models adjusted for baseline risk for outcomes associated with substantial heterogeneity: pain freedom at 2 hours and sustained pain freedom over 24 hours. However, differences in the designs of the included studies relating to the administration of rescue medication and variations observed in the placebo response may have impacted the results. Although all the included studies belong to a narrow publication year range, 2012 to 2020, with designs consistent with then current clinical guidelines, many factors can influence the placebo effect, some of which may have played a role in the heterogeneity observed across the included studies (e.g., geographical distribution) [37]. Additionally, ‘placebo response reduction training’, used in the CENTURION study [17] to reduce patient and study staff expectations of therapeutic benefit, has also been shown to decrease the placebo effect [50]. These limitations were addressed in our study by applying appropriate methodological and statistical approaches; however, their potential influence still needs to be considered when interpreting the NMA results. This also applies to the robustness of the models.

Another limitation of our study is that the number of studies included for each outcome was relatively small, which can lead to instability especially when using random-effects models. Limited events hindered the precise estimates of safety outcomes, as well as a lack of long-term efficacy and safety data. Analyses could not be performed for discontinuation due to AEs (as a result of poor model fit). Hence, the safety profiles of each treatment could not be compared quantitatively as a consequence of their different mechanisms of action. This NMA therefore focused only on the efficacy of lasmiditan and the gepants rimegepant and ubrogepant. However, it is noteworthy that discontinuations due to AEs were very low with all treatments. Most of the included studies presented results for the treatment of a single migraine attack; hence, outcomes are uncertain when these drugs are used over time for repeated attacks. Finally, some data included in the models were estimated from published information. When percentages of patients with events were reported instead of absolute values, absolute values were estimated from the percentages. When data were reported in figures instead of tables or text, digitalisation of the figures was used to extract the information. Such approaches might have introduced slight variation (minimal impact at decimal places) from the true values.

Conclusion

The results of this NMA indicate that lasmiditan 200 and 100 mg might be an appropriate acute treatment option for people with migraine, offering greater efficacy at 2 hours and a faster onset of action than both rimegepant and ubrogepant. Differently from rimegepant and ubrogepant, lasmiditan use is associated with mainly neurological events, which are mostly mild or moderate in severity and self-limiting.

Availability of data and materials

The datasets used and/or analysed during the current study are available from the corresponding author on reasonable request.

Abbreviations

5-HT1F :

serotonin (5-hydroxytryptamine) IF receptor

AE:

adverse event

ADR:

adverse drug reaction

CGRP:

calcitonin gene-related peptide

CrI:

credible interval

CVD:

cardiovascular disease

ECG:

electrocardiogram

ER:

emergency room

GI:

gastrointestinal

HIV:

human immunodeficiency virus

I 2 :

inconsistency parameter

ITT:

intention to treat

MBS:

most bothersome symptom

MIDAS:

Migraine Disability Assessment Test

NA:

not available

NMA:

network meta-analysis

NSAID:

non-steroidal anti-inflammatory drug

ODT:

oral disintegrating tablet

OR:

odds ratio

PICOS:

population, intervention, comparator and outcome selection

PRISMA:

Preferred Reporting Items for Systematic Reviews and Meta-Analyses

RCT:

randomised controlled trial

SLR:

systematic literature review

SUCRA:

surface under the cumulative ranking curve

SUD:

substance use disorder

References

  1. GBD (2016) Headache Collaborators (2018) Global, regional, and national burden of migraine and tension-type headache, 1990-2016: a systematic analysis for the Global Burden of Disease Study 2016. Lancet Neurol 17(11):954–976

    Google Scholar 

  2. Doane MJ, Gupta S, Fang J, Laflamme AK, Vo P (2020) The humanistic and economic burden of migraine in Europe: a cross-sectional survey in five countries. Neurol Ther 9(2):535–549

    Article  PubMed  PubMed Central  Google Scholar 

  3. GBD (2016) Disease and Injury Incidence and Prevalence Collaborators (2017) Global, regional, and national incidence, prevalence, and years lived with disability for 328 diseases and injuries for 195 countries, 1990-2016: a systematic analysis for the Global Burden of Disease Study 2016. Lancet 390:1211–1259

    Google Scholar 

  4. Diener HC, Tassorelli C, Dodick DW, Silberstein SD, Lipton RB, Ashina M, Becker WJ, Ferrari MD, Goadsby PJ, Pozo-Rosich P, Wang SJ, Mandrekar J, International Headache Society Clinical Trials Standing Committee (2019) Guidelines of the International Headache Society for controlled trials of acute treatment of migraine attacks in adults: fourth edition. Cephalalgia 39(6):687–710

    Article  PubMed  PubMed Central  Google Scholar 

  5. Ailani J, Burch RC, Robbins MS, Board of Directors of the American Headache Society (2021) The American Headache Society Consensus Statement: Update on integrating new migraine treatments into clinical practice. Headache 61(7):1021–1039

    Article  PubMed  Google Scholar 

  6. American Headache Society (2019) The American Headache Society Position Statement on integrating new migraine treatments into clinical practice. Headache 59(1):1–18

    Google Scholar 

  7. Bigal ME, Kurth T, Hu H, Santanello N, Lipton RB (2009) Migraine and cardiovascular disease: possible mechanisms of interaction. Neurology 72(21):1864–1871

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  8. Gilmore B, Michael M (2011) Treatment of acute migraine headache. Am Fam Physician 83:271–280

    PubMed  Google Scholar 

  9. Leroux E, Buchanan A, Lombard L, Loo LS, Bridge D, Rousseau B, Hopwood N, Matthews BR, Reuter U (2020) Evaluation of patients with insufficient efficacy and/or tolerability to triptans for the acute treatment of migraine: a systematic literature review. Adv Ther 37(12):4765–4796

    Article  PubMed  PubMed Central  Google Scholar 

  10. Lipton RB, Buse DC, Serrano D, Halland S, Reed ML (2013) Examination of unmet treatment needs among persons with episodic migraine: results of the American Migraine Prevalence and Prevention (AMPP) Study. Headache 53:1300–1311

    Article  PubMed  Google Scholar 

  11. Dodick DW, Martin VT, Smith T, Silberstein S (2004) Cardiovascular tolerability and safety of triptans: a review of clinical data. Headache 44(Suppl 1):S20–S30

    Article  PubMed  Google Scholar 

  12. Reuter U, Israel H, Neeb L (2015) The pharmacological profile and clinical prospects of the oral 5-HT1F receptor agonist lasmiditan in the acute treatment of migraine. Ther Adv Neurol Disord 8(1):46–54

    Article  PubMed  PubMed Central  CAS  Google Scholar 

  13. Deen M, Correnti E, Kamm K, Kelderman T, Papetti L, Rubio-Beltrán E, Vigneri S, Edvinsson L, Maassen Van Den Brink A, European Headache Federation School of Advanced Studies (EHF-SAS) (2017) Blocking CGRP in migraine patients - a review of pros and cons. J Headache Pain 18(1):96

    Article  PubMed  PubMed Central  CAS  Google Scholar 

  14. Peters GL (2019) Migraine overview and summary of current and emerging treatment options. Am J Manag Care 25(Suppl 2):S23–S34

    PubMed  Google Scholar 

  15. Kuca B, Silberstein SD, Wietecha L, Berg PH, Dozier G, Lipton RB, COL MIG-301 Study Group (2018) Lasmiditan is an effective acute treatment for migraine: a phase 3 randomized study. Neurology 91(24):e2222–e2232

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  16. Goadsby PJ, Wietecha LA, Dennehy EB, Kuca B, Case MG, Aurora SK, Gaul C (2019) Phase 3 randomized, placebo-controlled, double-blind study of lasmiditan for acute treatment of migraine. Brain 142(7):1894–1904

    Article  PubMed  PubMed Central  Google Scholar 

  17. Ashina M, Reuter U, Smith T, Krikke-Workel J, Klise SR, Bragg S, Doty EG, Dowsett SA, Lin Q, Krege JH (2021) Randomized, controlled trial of lasmiditan over four migraine attacks: Findings from the CENTURION study. Cephalalgia 41(3):294–304

    Article  PubMed  PubMed Central  Google Scholar 

  18. Sakai F, Takeshima T, Homma G, Tanji Y, Katagiri H, Komori M (2021) Phase 2 randomized placebo-controlled study of lasmiditan for the acute treatment of migraine in Japanese patients. Headache 61(5):755–765

    Article  PubMed  PubMed Central  Google Scholar 

  19. Färkkilä M, Diener HC, Géraud G, Láinez M, Schoenen J, Harner N, Pilgrim A, Reuter U, COL MIG-202 study group (2012) Efficacy and tolerability of lasmiditan, an oral 5-HT(1F) receptor agonist, for the acute treatment of migraine: a phase 2 randomised, placebo-controlled, parallel-group, dose-ranging study. Lancet Neurol 11(5):405–413

    Article  PubMed  CAS  Google Scholar 

  20. Lipton RB, Conway CM, Stock EG, Stock D, Morris BA, McCormack TJ, Frost M, Gentile K, Dubowchik GM, Coric V, Croop R (2018) Efficacy, safety, and tolerability of rimegepant 75 mg, an oral CGRP receptor antagonist, for the treatment of migraine: results from a phase 3, double blind, randomized, placebo-controlled trial, Study 301. Presented at: the 60th Annual Scientific Meeting of the American Headache Society; June 28–July 1, 2018; San Francisco, CA, USA, Abstract 492562

  21. Lipton RB, Croop R, Stock EG, Stock DA, Morris BA, Frost M, Dubowchik GM, Conway CM, Coric V, Goadsby PJ (2019) Rimegepant, an oral calcitonin gene-related peptide receptor antagonist, for migraine. N Engl J Med 381(2):142–149

    Article  CAS  PubMed  Google Scholar 

  22. Croop R, Goadsby PJ, Stock DA, Conway CM, Forshaw M, Stock EG, Coric V, Lipton RB (2019) Efficacy, safety, and tolerability of rimegepant orally disintegrating tablet for the acute treatment of migraine: a randomised, phase 3, double-blind, placebo-controlled trial. Lancet 394(10200):737–745

    Article  CAS  PubMed  Google Scholar 

  23. Marcus R, Goadsby PJ, Dodick D, Stock D, Manos G, Fischer TZ (2014) BMS-927711 for the acute treatment of migraine: a double-blind, randomized, placebo controlled, dose-ranging trial. Cephalalgia 34(2):114–125

    Article  PubMed  Google Scholar 

  24. Dodick DW, Lipton RB, Ailani J, Lu K, Finnegan M, Trugman JM, Szegedi A (2019) Ubrogepant for the treatment of migraine. N Engl J Med 381(23):2230–2241

    Article  CAS  PubMed  Google Scholar 

  25. Lipton RB, Dodick DW, Ailani J et al (2019) Effect of ubrogepant vs placebo on pain and the most bothersome associated symptom in the acute treatment of migraine: the ACHIEVE II randomized clinical trial. JAMA 322(19):1887–1898

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  26. Voss T, Lipton RB, Dodick DW, Dupre N, Ge JY, Bachman R, Assaid C, Aurora SK, Michelson D (2016) A phase IIb randomized, double-blind, placebo-controlled trial of ubrogepant for the acute treatment of migraine. Cephalalgia 36(9):887–898

    Article  PubMed  Google Scholar 

  27. Goadsby PJ, Blumenfeld AM, Lipton RB, Dodick DW, Kalidas K, Adams A M, Jakate A, Liu C, Szegedi A, Trugman JM (2021) Time course of efficacy of ubrogepant for the acute treatment of migraine: Clinical implications. Cephalalgia 41(5):546–560

    Article  PubMed  Google Scholar 

  28. Johnston K, Popoff E, Deighton A, Dabirvaziri P, Harris L, Thiry A, Croop R, Coric V, L'Italien G, Moren J (2022) Comparative efficacy and safety of rimegepant, ubrogepant, and lasmiditan for acute treatment of migraine: a network meta-analysis. Expert Rev Pharmacoecon Outcomes Res 2:1–12

    Google Scholar 

  29. Agboola F, Atlas SJ, Touchette DR, Borrelli EP, Rind DM, Pearson SD (2020) The effectiveness and value of novel acute treatments for migraine. J Manag Care Spec Pharm 26(11):1456–1462

    PubMed  Google Scholar 

  30. Yang CP, Liang CS, Chang CM, Yang CC, Shih PH, Yau YC, Tang KT, Wang SJ (2021) Comparison of new pharmacologic agents with triptans for treatment of migraine: a systematic review and meta-analysis. JAMA Netw Open 4(10):e2128544

    Article  PubMed  PubMed Central  Google Scholar 

  31. Moher D, Liberati A, Tetzlaff J, Altman DG, PRISMA Group (2009) Preferred reporting items for systematic reviews and meta-analyses: the PRISMA statement. PLoS Med 6(7):e1000097. https://doi.org/10.1371/journal.pmed.1000097

    Article  PubMed  PubMed Central  Google Scholar 

  32. Centre for Reviews and Dissemination (2009) CRD’s guidance for undertaking reviews in health care. York, England: University of York; 2009. http://www.york.ac.uk/inst/crd/index_guidance.htm. Accessed 19 Oct 2021.

  33. WebPlotDigitizer Version 4.2 (2019). https://apps.automeris.io/wpd/. Accessed 23 Mar 2022.

  34. Headache Classification Committee of the International Headache Society (IHS) (2013) The International Classification of Headache Disorders, 3rd edition (beta version). Cephalalgia 33(9):629–808

    Article  Google Scholar 

  35. NICE DSU (2022) NICE Decision Support Unit. http://nicedsu.org.uk/technical-support-documents/evidence-synthesis-tsd-series/. Accessed 23 Mar 2022.

  36. Brooks SP, Gelman A (1998) General methods for monitoring convergence of iterative simulations. J Comput Graph Stat 7(4):434–455

    Google Scholar 

  37. Diener HC (2010) Placebo effects in treating migraine and other headaches. Curr Opin Investig Drugs 11(7):735–739

    PubMed  Google Scholar 

  38. Salanti G, Ades AE, Ioannidis JP (2011) Graphical methods and numerical summaries for presenting results from multiple-treatment meta-analysis: an overview and tutorial. J Clin Epidemiol 64(2):163–171

    Article  PubMed  Google Scholar 

  39. Turner RM, Davey J, Clarke MJ, Thompson SG, Higgins JP (2012) Predicting the extent of heterogeneity in meta-analysis, using empirical data from the Cochrane Database of Systematic Reviews. Int J Epidemiol 41(3):818–827

    Article  PubMed  PubMed Central  Google Scholar 

  40. Turner RM, Jackson D, Wei Y, Thompson SG, Higgins JP (2015) Predictive distributions for between-study heterogeneity and simple methods for their application in Bayesian meta-analysis. Stat Med 34(6):984–998

    Article  PubMed  Google Scholar 

  41. Eli Lilly and Company (2021) REYNOW (lasmiditan) tablets, for oral use [prescribing information]. Eli Lilly and Company, Indianapolis. https://pi.lilly.com/us/reyvow-uspi.pdf. Accessed 23 Mar 2022

    Google Scholar 

  42. Biohaven Pharmaceuticals (2020) NURTEC ODT (rimegepant) orally disintegrating tablets, for sublingual or oral use [prescribing information]. Biohaven Pharmaceuticals, Inc., New Haven. https://www.accessdata.fda.gov/drugsatfda_docs/label/2020/212728s000lbl.pdf. Accessed 23 Mar 2022

    Google Scholar 

  43. Allergan (2019) UBRELVY (ubrogepant) tablets, for oral use [prescribing information]. Allergan USA Inc., Madison. https://www.accessdata.fda.gov/drugsatfda_docs/label/2019/211765s000lbl.pdf. Accessed 23 Mar 2022

    Google Scholar 

  44. Lipton RB, Hamelsky SW, Dayno JM (2002) What do patients with migraine want from acute migraine treatment? Headache 42:S3–S9

    Article  Google Scholar 

  45. Mathew NT, Landy S, Stark S, Tietjen GE, Derosier FJ, White J, Lener SE, Bukenya D (2009) Fixed-dose sumatriptan and naproxen in poor responders to triptans with a short half-life. Headache 49(7):971–982

    Article  PubMed  Google Scholar 

  46. Atlas S, Touchette D, Agboola F, Lee T, Chapman R, Pearson SD, Rind DM (2020) Acute treatments for migraine: Effectiveness and value. Institute for Clinical and Economic Review, January 8, 2020. http://icer-review.org/material/acute-migraine-evidence-report/. Accessed 23 Mar 2022

  47. Krege JH, Rizzoli PB, Liffick E, Doty EG, Dowsett SA, Wang J, Buchanan AS (2019) Safety findings from Phase 3 lasmiditan studies for acute treatment of migraine: results from SAMURAI and SPARTAN. Cephalalgia 39(8):957–966

    Article  PubMed  PubMed Central  Google Scholar 

  48. Chiang CC, Schwedt TJ (2020) Calcitonin gene-related peptide (CGRP)-targeted therapies as preventive and acute treatments for migraine–The monoclonal antibodies and gepants. Prog Brain Res 255:143–170

    Article  PubMed  Google Scholar 

  49. Negro A, Martelletti P (2019) Gepants for the treatment of migraine. Expert Opin Investig Drugs 28(6):555–567

    Article  CAS  PubMed  Google Scholar 

  50. Erpelding N, Evans K, Lanier RK, Elder H, Katz NP (2020) Placebo response reduction and accurate pain reporting training reduces placebo responses in a clinical trial on chronic low back pain: results from a comparison to the literature. Clin J Pain 36(12):950–954

    Article  PubMed  Google Scholar 

Download references

Acknowledgements

Medical writing support was provided by Gill Gummer and Caroline Spencer (Rx Communications), funded by Eli Lilly and Company.

Funding

This work was funded by Eli Lilly and Company.

Author information

Authors and Affiliations

Authors

Contributions

P.P. was involved with the conception and design of the work, and the analysis and interpretation of the data. M.B. and E.J. were involved with the design of the work and the interpretation of the data. S.K.V. was involved with the acquisition and interpretation of the data. S.W. was involved with the conception and design of the work, and the interpretation of the data. All authors performed critical revision of the manuscript for important intellectual content. All authors give final approval of the manuscript to be published.

Corresponding author

Correspondence to Pepa Polavieja.

Ethics declarations

Ethics approval and consent to participate

Not applicable.

Consent for publication

Not applicable.

Competing interests

All authors are full-time employees and minor stockholders of Eli Lilly and Company.

Additional information

Publisher’s Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Supplementary Information

Rights and permissions

Open Access This 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.

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Polavieja, P., Belger, M., Venkata, S.K. et al. Relative efficacy of lasmiditan versus rimegepant and ubrogepant as acute treatments for migraine: network meta-analysis findings. J Headache Pain 23, 76 (2022). https://doi.org/10.1186/s10194-022-01440-w

Download citation

  • Received:

  • Accepted:

  • Published:

  • DOI: https://doi.org/10.1186/s10194-022-01440-w

Keywords