Evidence map›Paper›PMID 41159484›Full record

ArticleMultiple sclerosis (Houndmills, Basingstoke, England)2025

Clinical validation of a novel in vitro diagnostic neurofilament light chain assay for the prognostication of disease activity in people with relapsing multiple sclerosis.

Tjalf Ziemssen, Mark S Freedman, Amit Bar-Or, Xavier Montalban, Charlotte E Teunissen, Dieter A Häring, Petra Kukkaro, Martin Merschhemke, Bernd C Kieseier, Meghana Karnik-Henry and 7 more

Abstract readValidation Study
In one paragraph

Article in Multiple sclerosis (Houndmills, Basingstoke, England), 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

17 authors.

Tjalf ZiemssenCenter of Clinical Neuroscience, Department of Neurology, University Clinic Carl Gustav Carus, TU Dresden, Dresden, Germany.ORCID 0000-0001-8799-8202
Mark S FreedmanDepartment of Medicine (Neurology), University of Ottawa; Ottawa Hospital Research Institute, Ottawa, Ontario, Canada.
Amit Bar-OrCenter for Neuroinflammation and Experimental Therapeutics, Department of Neurology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA.ORCID 0000-0001-7179-0335
Xavier MontalbanDepartment of Neurology-Neuroimmunology, Centre d'Esclerosi Múltiple de Catalunya (Cemcat), Hospital Universitari Vall d'Hebron, Universitat Autonoma de Barcelona (UAB), Barcelona, Spain; Universitat de Vic-Universitat Central de Catalunya (UVic-UCC), Vic, Spain.ORCID 0000-0002-0098-9918
Charlotte E TeunissenNeurochemistry Laboratory, Department of Laboratory Medicine, Amsterdam Neuroscience, Amsterdam UMC, Vrije Universiteit Amsterdam, Netherlands.ORCID 0000-0002-4061-0837
Dieter A HäringNovartis Pharma AG, Basel, Switzerland.ORCID 0000-0001-5690-8710
Petra KukkaroNovartis Pharma AG, Basel, Switzerland.
Martin MerschhemkeNovartis Pharma AG, Basel, Switzerland.
Bernd C KieseierNovartis Pharma AG, Basel, Switzerland.
Meghana Karnik-HenrySiemens Healthineers, Tarrytown, NY, USA.ORCID 0000-0002-2981-7837
Matthew GeeSiemens Healthineers, Tarrytown, NY, USA.
Sascha LangeSiemens Healthineers, Tarrytown, NY, USA.
Eddine MerabetSiemens Healthineers, Tarrytown, NY, USA.
Tanuja ChitnisHarvard Medical School; Ann Romney Center for Neurologic Diseases, Department of Neurology, Brigham and Women's Hospital; Brigham Multiple Sclerosis Center, Department of Neurology, Brigham and Women's Hospital, Boston, MA, USA.ORCID 0000-0002-9897-4422
Stefan BittnerDepartment of Neurology, Focus Program Translational Neuroscience and Immunology, Rhine Main Neuroscience Network, University Medical Center of the Johannes Gutenberg University Mainz, Mainz, Germany.ORCID 0000-0003-2179-3655
Heinz WiendlKlinik für Neurologie und Neurophysiologie, Universitätsklinikum Freiburg, Freiburg, Germany.
Stephen L HauserDepartment of Neurology, UCSF Weill Institute for Neurosciences, University of California San Francisco, San Francisco, CA, USA.ORCID 0000-0002-4932-4001

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundNeurofilament light chain (NfL) is a promising marker for predicting disease activity in relapsing multiple sclerosis (RMS). To date, however, there has been no commercially available NfL assay validated in MS and intended for routine clinical use.

objectiveTo identify and validate a single threshold for NfL in blood that differentiates RMS patients, aged 18-55 years, at a higher versus lower risk of disease activity over 2 years, using the Atellica

methodsThe optimal NfL threshold for this assay/use case was identified and independently validated using ASCLEPIOS I and II data, respectively. The primary endpoint (annualized number of new/enlarging T2 (neT2) lesions) was analyzed using negative binomial models. Threshold optimization used maximum likelihood methodology. Generalizability analyses used data from ASCLEPIOS II, FREEDOMS, and TRANSFORMS.

resultsNfL concentration of 12.9 pg/mL was validated as the optimal cutoff for prognosticating disease activity as measured by neT2 lesion over 2 years. This threshold prognosticated individual patient risk for persistent disease activity (>3 neT2 lesions/year over 2 years) and showed prognostic value across relevant subgroups and clinical scenarios. Findings for relapses were similar.

conclusionThe CE-marked Atellica

Indexed as

Multiple Sclerosis, Relapsing-RemittingNeurofilament ProteinsAdolescentAdultBiomarkersDisease ProgressionFemaleHumansMaleMiddle AgedPrognosisYoung AdultBiomarkersneurofilament protein LNeurofilament ProteinsAtellica® IM NfL assayblood biomarkersdisease activitymultiple sclerosisneurofilament light chainnew or enlarging T2 lesionsprognosisthreshold

Identifiers

PMID41159484
PMCPMC12589664

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.