Evidence map›Paper›PMID 35263489›Full record

ArticleEuropean journal of neurology2022

Integrated evaluation of a panel of neurochemical biomarkers to optimize diagnosis and prognosis in amyotrophic lateral sclerosis.

Yuri Matteo Falzone, Teuta Domi, Alessandra Mandelli, Laura Pozzi, Paride Schito, Tommaso Russo, Alessandra Barbieri, Raffaella Fazio, Maria Antonietta Volontè, Giuseppe Magnani and 8 more

Open access · hybridAbstract read
In one paragraph

Article in European journal of neurology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 30 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
30citing papers in PubMed, 3 pooled it
5.8field-weighted citation impact, top 3% of its field
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

30 citing papers in PubMed, 3 syntheses or guidelines pooled it, 47 citations in OpenAlex.

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  7. Longitudinal CSF and Serum Biomarker Dynamics in Tofersen-TreatedInternational journal of molecular sciences · 2026
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

18 authors at 3 institutions in 2 countries.

Yuri Matteo FalzoneExperimental Neuropathology Unit, Division of Neuroscience, Institute of Experimental Neurology, San Raffaele Scientific Institute, Milan, Italy.
Teuta DomiExperimental Neuropathology Unit, Division of Neuroscience, Institute of Experimental Neurology, San Raffaele Scientific Institute, Milan, Italy.
Alessandra MandelliClinical Neuroimmunology Unit, Division of Neuroscience, Institute of Experimental Neurology, San Raffaele Scientific Institute, Milan, Italy.
Laura PozziExperimental Neuropathology Unit, Division of Neuroscience, Institute of Experimental Neurology, San Raffaele Scientific Institute, Milan, Italy.
Paride SchitoExperimental Neuropathology Unit, Division of Neuroscience, Institute of Experimental Neurology, San Raffaele Scientific Institute, Milan, Italy.
Tommaso RussoExperimental Neuropathology Unit, Division of Neuroscience, Institute of Experimental Neurology, San Raffaele Scientific Institute, Milan, Italy.
Alessandra BarbieriNeurology Unit, San Raffaele Scientific Institute, Scientific Institute for Research and Health Care, Milan, Italy.
Raffaella FazioNeurology Unit, San Raffaele Scientific Institute, Scientific Institute for Research and Health Care, Milan, Italy.
Maria Antonietta VolontèNeurology Unit, San Raffaele Scientific Institute, Scientific Institute for Research and Health Care, Milan, Italy.
Giuseppe MagnaniNeurology Unit, San Raffaele Scientific Institute, Scientific Institute for Research and Health Care, Milan, Italy.
Ubaldo Del CarroNeurophysiology Unit, San Raffaele Scientific Institute, Scientific Institute for Research and Health Care, Milan, Italy.
Paola CarreraUnit of Genomics for Human Disease Diagnosis, Laboratory of Clinical Molecular Biology, Division of Genetics and Cell Biology, San Raffaele Hospital, Scientific Institute for Research and Health Care, Milan, Italy.
Andrea MalaspinaCentre for Neuroscience and Trauma, Blizard Institute, Queen Mary University of London, London, UK.
Federica AgostaNeuroimaging Research Unit, Division of Neuroscience, Institute of Experimental Neurology, San Raffaele Scientific Institute, Scientific Institute for Research and Health Care, Milan, Italy.
Angelo QuattriniExperimental Neuropathology Unit, Division of Neuroscience, Institute of Experimental Neurology, San Raffaele Scientific Institute, Milan, Italy.
Roberto FurlanClinical Neuroimmunology Unit, Division of Neuroscience, Institute of Experimental Neurology, San Raffaele Scientific Institute, Milan, Italy.
Massimo FilippiNeurology Unit, San Raffaele Scientific Institute, Scientific Institute for Research and Health Care, Milan, Italy.ORCID 0000-0002-5485-0479
Nilo RivaExperimental Neuropathology Unit, Division of Neuroscience, Institute of Experimental Neurology, San Raffaele Scientific Institute, Milan, Italy.ORCID 0000-0002-0513-9517
Vita-Salute San Raffaele University · ITSan Raffaele University of Rome · ITQueen Mary University of London · GB

Funding

Motor Neurone Disease Association MALASPINA/APR13/817-791Motor Neurone Disease Association TURNER/OCT15/972-797
6 · The paper itself

Abstract

background and purposeThis study was undertaken to determine the diagnostic and prognostic value of a panel of serum biomarkers and to correlate their concentrations with several clinical parameters in a large cohort of patients with amyotrophic lateral sclerosis (ALS).

methodsOne hundred forty-three consecutive patients with ALS and a control cohort consisting of 70 patients with other neurodegenerative disorders (DEG), 70 patients with ALS mimic disorders (ALSmd), and 45 healthy controls (HC) were included. Serum neurofilament light chain (NfL), ubiquitin carboxyl-terminal hydrolase isozyme L1 (UCHL1), glial fibrillary acidic protein (GFAP), and total tau protein levels were measured using ultrasensitive single molecule array.

resultsNfL correlated with disease progression rate (p < 0.001) and with the measures of upper motor neuron burden (p < 0.001). NfL was higher in the ALS patients with classic and pyramidal phenotype. GFAP was raised in ALS with cognitive-behavioral impairment compared with ALS with normal cognition. NfL displayed the best diagnostic performance in discriminating ALS from HC (area under the curve [AUC] = 0.990), DEG (AUC = 0.946), and ALSmd (AUC = 0.850). UCHL1 performed well in distinguishing ALS from HC (AUC = 0.761), whereas it was not helpful in differentiating ALS from DEG and ALSmd. In multivariate analysis, NfL (p < 0.001) and UCHL1 (p = 0.038) were independent prognostic factors. Survival analysis combining NfL and UCHL1 effectively stratified patients with lower NfL levels (p < 0.001).

conclusionsNfL is a useful biomarker for the diagnosis of ALS and the strongest predictor of survival. UCHL1 is an independent prognostic factor helpful in stratifying survival in patients with low NfL levels, likely to have slowly progressive disease. GFAP reflects extramotor involvement, namely cognitive impairment or frontotemporal dementia.

Indexed as

Amyotrophic Lateral SclerosisFrontotemporal DementiaBiomarkersCohort StudiesHumansNeurofilament ProteinsPrognosisBiomarkersNeurofilament Proteinsfrontotemporal dementiaglial fibrillary acidic proteinneurofilament proteinsUCHL1 protein

Identifiers

PMID35263489
PMCPMC9314044
OpenAlexW4220662180

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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 OpenQuestion graph.