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Neurology · 2 h ago

Lower Baseline Relapse Activity Accompanies Declining Comparator Event Rates in MS Trials

A meta-epidemiological analysis of 15 treated-reference arms from nine phase 3 multiple sclerosis programs found declining relapse rates alongside lower baseline relapse activity. An index of the recruitment treatment environment also correlated with relapse rates, but its association was negligible after adjustment for recruitment timing.

Declining comparator-arm relapse rates can complicate event assumptions in relapsing multiple sclerosis trials. This meta-epidemiological analysis examined 15 treated-reference arms from nine phase 3 programs, relating annualized relapse rates (ARRs) to recruitment era, prior-year relapse activity, MRI markers, and an Operational Selection Pressure Index (OSPI). The index combined recruitment geography with time since ocrelizumab approval; disability outcomes were audited separately.

Reference-arm ARR fell from 0.370 in TEMSO and 0.320 in TOWER to 0.109–0.140 in BTK inhibitor-era programs. ARR correlated inversely with recruitment era (ρ = −0.906; 95% CI, −0.985 to −0.279; 15 arms). Prior-year relapse activity correlated with ARR (ρ = 0.739; 13 arms) and declined over time (ρ = −0.725). MRI findings were inconsistent.

OSPI correlated inversely with ARR across nine programs (ρ = −0.892), but the association was negligible after adjustment for recruitment midpoint (partial ρ = −0.020). Disability trends varied with reporting metric and effective follow-up. These descriptive findings support conservative event assumptions and harmonized reporting, but cannot establish a selection mechanism or separate the treatment environment from calendar era. The authors called for validation using screening data and country- or period-specific outcomes. Only the abstract was available for this assessment.

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Source

European Journal of Neurology: Comparator Event Rates, Baseline Activity, and Operational Selection Pressure in Relapsing Multiple Sclerosis Trials: A Meta‐Epidemiological Analysis ↗

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