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Bayesian network meta-analysis compares CGRP therapies for episodic migraine

Bayesian network meta-analysis compares CGRP therapies for episodic migraine
Photo by Logan Voss / Unsplash
Key Takeaway
Consider the efficacy and tolerability tradeoffs between CGRP monoclonal antibodies and gepants for episodic migraine.

This is a Bayesian network meta-analysis evaluating six CGRP-targeted therapies for episodic migraine, including injectable monoclonal antibodies and oral gepants. The analysis included 24,418 participants with episodic migraine, with a mean age of 39.2 years and 84% female.

The authors synthesized that eptinezumab 300 mg, galcanezumab 240 mg, and erenumab 140 mg each produced a significant reduction in monthly migraine days versus placebo. For galcanezumab 240 mg, the 50% or greater responder rate was significantly increased versus placebo (OR 3.12, 95% CrI 2.22 to 4.38). The analysis indicated superior efficacy for monoclonal antibodies compared to gepants, with an approximate difference of 1.1 monthly migraine days.

Gepants demonstrated placebo-comparable tolerability, with a treatment-emergent adverse event risk ratio of 1.02 (95% CrI 0.93 to 1.12). The authors noted that indirect comparisons between monoclonal antibodies and gepants had moderate certainty.

Limitations include the indirect nature of mAb-versus-gepant comparisons. The authors recommend an individualized, patient-centered approach considering symptom burden, comorbidities, and administration preference.

Study Details

Study typeMeta analysis
Sample sizen = 24,418
EvidenceLevel 1
PublishedMay 2026
View Original Abstract ↓
Background. Calcitonin gene-related peptide (CGRP)-targeted therapies, including injectable monoclonal antibodies (mAbs: erenumab, fremanezumab, galcanezumab, eptinezumab) and oral gepants (atogepant, rimegepant), represent a paradigm shift in episodic migraine prevention. No direct head-to-head trials across the full drug class exist. We conducted a PRISMA-NMA-compliant Bayesian network meta-analysis (NMA) to compare the relative efficacy and tolerability of all approved CGRP-targeted preventive therapies. Methods. PubMed, Embase, and Cochrane CENTRAL (inception to January 2026) were searched for doubleblind RCTs in episodic migraine. A Bayesian random-effects NMA used Markov Chain Monte Carlo simulation. Primary outcome: change in monthly migraine days (MMD). Secondary outcomes: 50% or greater responder rate, TEAEs, and DAEs. SUCRA probabilities quantified treatment rankings. Transitivity was formally assessed. Publication bias was evaluated using comparison-adjusted funnel plots and Egger test. GRADE certainty was rated for all key comparisons. Results. Thirty-two RCTs (24,418 participants; mean age 39.2 years; 84% female; mean baseline 8.2 MMD) were included (Table 1). All active treatments significantly reduced MMD versus placebo. Eptinezumab 300 mg ranked highest for MMD reduction (MD 2.40 MMD, 95% CrI 3.10 to 1.70; SUCRA 91.2%), followed by galcanezumab 240 mg (SUCRA 85.4%) and erenumab 140 mg (SUCRA 79.8%). For the 50% responder rate, galcanezumab 240 mg ranked highest (OR 3.12, 95% CrI 2.22 to 4.38; SUCRA 92.1%). Oral gepants demonstrated significant but more modest efficacy: atogepant 60 mg (SUCRA 38.4%) and rimegepant (SUCRA 28.9%). The absolute mAb-versus-gepant efficacy difference of approximately 1.1 MMD exceeded the accepted minimal clinically important difference. Gepants demonstrated placebo-comparable tolerability (TEAE RR 1.02, 95% CrI 0.93 to 1.12; SUCRA 93 to 96%). Heterogeneity was low to moderate (I-squared 14 to 31%); no significant network inconsistency (node-split p greater than 0.29); and no significant publication bias (Egger test p = 0.24). GRADE certainty was high for class-versus-placebo comparisons and moderate for indirect mAb-versus-gepant comparisons. Conclusion. CGRP mAbs provide superior efficacy over oral gepants for episodic migraine prevention. Oral gepants offer placebo-comparable tolerability. An individualized, patient-centered approach guided by symptom burden, comorbidities, administration preference, and the efficacy-tolerability tradeoff of each drug class is recommended.
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