Individual-level surrogacy of MRI lesions for disease severity in RRMS: Methods to quantify predictive power and their application to longitudinal data from recent trials

LRF is an important measure to quantify ILS and prediction quality. But it is rarely applied in RRMS research. LRF did not reveal robust surrogacy patterns when applied to data of ten clinical trials. Existing surrogacy claims should be reassessed since ILS assessments in the MS literature may have major limitations.

Authors

Stefan Buchka (ORCID: https://orcid.org/0000-0002-5453-3406)
Joachim Havla (ORCID: https://orcid.org/0000-0002-4386-1340)
Ulrich Mansmann (ORCID: https://orcid.org/0000-0002-9955-8906)
Raphael Rehms (ORCID: https://orcid.org/0000-0002-3996-0194)
Begüm Irmak Ön

Institutions

LMU Klinikum (DE)
Zimmer Biomet (Germany) (DE)
Deutsches Herzzentrum München (DE)
Technical University of Munich (DE)
Ludwig-Maximilians-Universität München (DE)

Publication Details

Journal: PLoS ONE
Published: 2025-12-26
DOI: https://doi.org/10.1371/journal.pone.0337893
Primary Topic: Multiple Sclerosis Research Studies
Type: article
Field-Weighted Citation Impact: 0.00

Funders

Sanofi

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article

Individual-level surrogacy of MRI lesions for disease severity in RRMS: Methods to quantify predictive power and their application to longitudinal data from recent trials

Stefan Buchka, Joachim Havla, Ulrich Mansmann, Raphael Rehms et al.

Dec 26, 2025

PLoS ONE

Multiple Sclerosis Research Studies

article

Individual-level surrogacy of MRI lesions for disease severity in RRMS: Methods to quantify predictive power and their application to longitudinal data from recent trials

Stefan Buchka, Joachim Havla, Ulrich Mansmann, Raphael Rehms, Begüm Irmak Ön

December 26, 2025article en

Abstract

LRF is an important measure to quantify ILS and prediction quality. But it is rarely applied in RRMS research. LRF did not reveal robust surrogacy patterns when applied to data of ten clinical trials. Existing surrogacy claims should be reassessed since ILS assessments in the MS literature may have major limitations.

PLoS ONEVol. 20(12)

LMU Klinikum (DE), Zimmer Biomet (Germany) (DE), Deutsches Herzzentrum München (DE), Technical University of Munich (DE), Ludwig-Maximilians-Universität München (DE)

Sanofi

Quality Education

Openalex Percentile: Top 30%

Multiple Sclerosis Research Studies

DOI Open Access PDF OpenAlex

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