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European journal of neurology

October 1, 2026 ยท via Europe PMC

Comparator Event Rates, Baseline Activity, and Operational Selection Pressure in Relapsing Multiple Sclerosis Trials: A Meta-Epidemiological Analysis.

Pfeuffer S, Masanneck L, Pawlitzki M, Hartung HP.

Meta-AnalysisOpen access

AI summary โ€” for doctors, generated from the abstract only

The fall in reference-arm relapse rates in relapsing MS trials tracked lower baseline relapse activity and calendar era, and a new selection-pressure index could not be separated from time.

What was studied

Meta-epidemiological descriptive analysis of 15 treated-reference arms from nine Phase 3 programs, relating annualized relapse rate (ARR) to recruitment era, prior-year relapses, MRI markers and an Operational Selection Pressure Index (OSPI).

Key findings

  • Reference-arm ARR fell from 0.370 in TEMSO and 0.320 in TOWER to 0.109-0.140 in BTK inhibitor-era programs (rho -0.906)
  • Prior-year relapse activity correlated with ARR (rho 0.739) and declined over time (rho -0.725)
  • OSPI correlated inversely with ARR (rho -0.892, n = 9) but was negligible after adjustment for recruitment midpoint (partial rho -0.020)

Clinical relevance

Trial designers should assume conservative event rates, harmonize reporting and validate with screening and country- or period-specific data.

Who should care

Neurology

Limitations

Few programs, so correlations are imprecise; OSPI is a constructed index confounded with calendar era, MRI findings were inconsistent, and associations are descriptive only.

Lower baseline activity accompanied declining event yield, but the mechanism behind OSPI could not be established.

This is an AI-generated summary of the published abstract, not a clinical recommendation. It may not reflect the full text or subsequent updates โ€” verify against the original source before acting on it.

Abstract

Background

Reference-arm annualized relapse rates (ARRs) in relapsing multiple sclerosis trials have declined. We examined whether baseline disease activity and the treatment environment during recruitment changed alongside this trend.

Methods

We analyzed 15 treated-reference arms from nine Phase 3 programs. ARR was related to recruitment era, prior-year relapse activity, MRI markers, and an Operational Selection Pressure Index (OSPI) combining recruitment geography with time since ocrelizumab approval. Associations were descriptive; disability outcomes were audited separately.

Results

Reference-arm ARR declined from 0.370 in TEMSO and 0.320 in TOWER to 0.109-0.140 in BTK inhibitor-era programs (ฯโ€‰=โ€‰-0.906; 95% CI, -0.985 to -0.279; nโ€‰=โ€‰15). Prior-year relapse activity correlated with ARR (ฯโ€‰=โ€‰0.739; 95% CI, 0.158 to 0.928; nโ€‰=โ€‰13) and declined over time (ฯโ€‰=โ€‰-0.725; 95% CI, -0.965 to -0.157; nโ€‰=โ€‰13). MRI findings were inconsistent. OSPI clustered at 0-7.3 in six programs and 65.2-80.5 in BTK inhibitor-era programs and correlated inversely with ARR (ฯโ€‰=โ€‰-0.892; 95% CI, -1.000 to -0.569; nโ€‰=โ€‰9). The association persisted across sensitivities but was negligible after adjustment for recruitment midpoint (partial ฯโ€‰=โ€‰-0.020). Disability trends depended on reporting metric and effective follow-up.

Conclusions

Lower baseline relapse activity accompanied declining event yield. OSPI made a treatment-ecosystem transition measurable but could not be separated from calendar era or establish mechanism. Trials require conservative event assumptions, harmonized reporting, and validation using screening and country- or period-specific outcomes.

DOI

10.1111/ene.70781

PMID

42858119

Research metadata (titles, abstracts, authors, publication dates) is sourced from Europe PMC, which aggregates content from PubMed/MEDLINE, PubMed Central, and other providers under the U.S. National Library of Medicine (NLM/NCBI). NLM does not claim copyright on abstracts; the original journal publishers or authors may hold rights to the full articles. AI-generated summaries are derived only from the abstract, never the full text, and are always labeled as AI-generated.

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