Evidence map›Paper›PMID 42836993›Full record

Trial reportJournal of neurology2026

TRICALS risk score augments but cannot replace neurofilament as a prognostic biomarker in ALS.

Ahmad Al Khleifat, Andrea Malaspina, Janine Kirby, Timothy Tree, Pamela J Shaw, P Nigel Leigh, Ammar Al-Chalabi

Abstract readClinical Trial, Phase IIRandomized Controlled Trial
In one paragraph

Trial report in Journal of neurology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

7 authors.

Ahmad Al KhleifatDepartment of Basic and Clinical Neuroscience, Institute of Psychiatry, Psychology and Neuroscience, King's College London, 16 De Crespigny Park, London, SE5 8AF, UK. ahmad.al_khleifat@kcl.ac.uk.ORCID http://orcid.org/0000-0002-7406-9831
Andrea MalaspinaUCL Queen Square MND Care and Research Centre, Institute of Neurology, University College London, London, UK.
Janine KirbySheffield Institute for Translational Neuroscience, School of Medicine and Population Health, University of Sheffield, Sheffield, UK.
Timothy TreeDepartment of Immunobiology, Faculty of Life Sciences and Medicine, King's College London, London, UK.
Pamela J ShawSheffield Institute for Translational Neuroscience, School of Medicine and Population Health, University of Sheffield, Sheffield, UK.
P Nigel LeighDepartment of Neuroscience, Brighton and Sussex Medical School, Falmer, Brighton, BN1 9PX, UK.
Ammar Al-ChalabiDepartment of Basic and Clinical Neuroscience, Institute of Psychiatry, Psychology and Neuroscience, King's College London, 16 De Crespigny Park, London, SE5 8AF, UK. ammar.al-chalabi@kcl.ac.uk.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundAmyotrophic lateral sclerosis (ALS) is a neurodegenerative disorder with substantial clinical heterogeneity, complicating the design and interpretation of clinical trials. Two strategies have been proposed to address this variability: phenotype-based prognostic modelling and biomarker-based stratification using neurofilaments. We aimed to determine whether a widely used phenotype-based method, the TRICALS risk score, could substitute for neurofilament biomarkers in a clinical trial.

methodsWe used data from the MIROCALS phase 2b randomised controlled trial of low-dose interleukin-2 in ALS (n = 220). The TRICALS risk score was calculated for each participant. The published biomarker model includes CSF phosphorylated neurofilament heavy chain (pNFH) and a pNFH × treatment interaction. We analysed the effects of replacing CSF pNFH with the TRICALS risk score and of adding TRICALS score as an additional covariate to the original model. Model performance was assessed using likelihood ratio χ

resultsTRICALS risk score was moderately correlated with CSF pNFH (r = 0.357), explaining 12.7% of shared variance. Substituting CSF pNFH with TRICALS score reduced model performance (- 2LL 928.25 vs 793.36). The TRICALS × treatment interaction was statistically significant (hazard ratio [HR] 0.72, 95% CI 0.54-0.96 p = 0.025), but contributed modestly to model fit (Δχ

conclusionsThe TRICALS risk score does not substitute for CSF neurofilament biomarkers as a prognostic or stratification variable but provides complementary information.

Indexed as

Amyotrophic Lateral SclerosisNeurofilament ProteinsAgedBiomarkersFemaleHumansInterleukin-2MaleMiddle AgedPrognosisBiomarkersInterleukin-2neurofilament protein HNeurofilament ProteinsALSAmyotrophic lateral sclerosisBiomarkerClinical trials

Identifiers

PMID42836993
PMCPMC13642438

What Socratic holds

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Registered trials

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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 Socratic graph.