Evidence map›Paper›PMID 37338613›Full record

ArticleJournal of neurology2023

The impact of upper and lower motor neuron burden on diagnostic certainty, and clinical course of spinal-onset amyotrophic lateral sclerosis: a cluster-based approach.

Giammarco Milella, Stefano Zoccolella, Alessia Giugno, Marco Filardi, Daniele Urso, Salvatore Nigro, Benedetta Tafuri, Ludovica Tamburrino, Valentina Gnoni, Giancarlo Logroscino

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Article in Journal of neurology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

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0cells of the map it votes in
5citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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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

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3 · Its place in the literature

Who cites it

5 citing papers in PubMed.

  1. Natural history of 441 cases of bulbar onset motor neuron disease (MND) in China: a single-center retrospective study.Neurological sciences : official journal of the Italian Neurological Society and of the Italian Society of Clinical Neurophysiology · 2026
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4 · The record

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5 · Who and what money

Authors and funding

10 authors.

Giammarco Milella *Department of Translational Biomedicine and Neurosciences (DiBraiN), University of Bari Aldo Moro, Bari, Italy.
Stefano Zoccolella *Neurology Unit, ASL Bari, San Paolo Hospital, Bari, Italy. stefzoc@hotmail.it.ORCID http://orcid.org/0000-0003-4037-7630
Alessia GiugnoCenter for Neurodegenerative Diseases and the Aging Brain at Pia Fondazione "Card. G. Panico", University of Bari, Tricase (Lecce), Italy.
Marco FilardiDepartment of Translational Biomedicine and Neurosciences (DiBraiN), University of Bari Aldo Moro, Bari, Italy.
Daniele UrsoCenter for Neurodegenerative Diseases and the Aging Brain at Pia Fondazione "Card. G. Panico", University of Bari, Tricase (Lecce), Italy.
Salvatore NigroCenter for Neurodegenerative Diseases and the Aging Brain at Pia Fondazione "Card. G. Panico", University of Bari, Tricase (Lecce), Italy.
Benedetta TafuriDepartment of Translational Biomedicine and Neurosciences (DiBraiN), University of Bari Aldo Moro, Bari, Italy.
Ludovica TamburrinoDepartment of Translational Biomedicine and Neurosciences (DiBraiN), University of Bari Aldo Moro, Bari, Italy.
Valentina GnoniCenter for Neurodegenerative Diseases and the Aging Brain at Pia Fondazione "Card. G. Panico", University of Bari, Tricase (Lecce), Italy.
Giancarlo LogroscinoDepartment of Translational Biomedicine and Neurosciences (DiBraiN), University of Bari Aldo Moro, Bari, Italy.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundUpper motor neuron (UMN) and lower motor neuron (LMN) involvement represent the core clinical features of amyotrophic lateral sclerosis (ALS). Several studies divided patients into prevalent UMN and LMN impairment phenotypes to investigate the association between motor systems impairments and ALS clinical course. However, this distinction was somehow heterogeneous and significantly affected the comparability across studies.

aimsThis study aimed to investigate whether patients spontaneously segregate based on the extent of UMN and LMN involvement without a-priori categorization and to identify potential clinical and prognostic features of different clusters.

methodsEighty-eight consecutive spinal-onset ALS patients were referred to an ALS tertiary center between 2015 and 2022. UMN and LMN burden was assessed with the Penn Upper Motor Neuron scale (PUMNS) and the Devine score, respectively. PUMNS and LMN scores were normalized into 0-1 and analyzed using a two-step cluster analysis and the Euclidean distance measure. The Bayesian Information Criterion was used to determine the cluster number. Demographic and clinical variables were tested for differences among the clusters.

resultsThree distinct clusters emerged at cluster analysis. Patients in "cluster-1" showed moderate UMN and severe LMN involvement, corresponding to the typical ALS phenotype. Patients in "cluster-2" showed mild LMN and severe UMN damage, corresponding to a predominant UMN phenotype, while "cluster-3" patients showed mild UMN and moderate LMN damage, corresponding to a predominant LMN phenotype. Patients in "cluster-1" and "cluster-2" showed a higher prevalence of definite ALS than those in "cluster-3" (61% and 46 vs 9%, p < 0.001). "Cluster-1" patients had a lower median ALSFRS-r score compared to both "cluster-2" and 3 patients (27 vs 40 and 35, < 0.001). "Cluster-1" (HR: 8.5; 95% CI 2.1-35.1 and p = 0.003) and 3 (HR: 3.2; 95% CI 1.1-9.1; p = 0.03) were associated with shorter survival than those in "cluster-2".

conclusionsSpinal-onset ALS can be categorized into three groups according to LMN and UMN burden. The UMN burden is related to higher diagnostic certainty and broader disease spread, while LMN involvement is associated with higher disease severity and shorter survival.

Indexed as

Amyotrophic Lateral SclerosisBayes TheoremDisease ProgressionHumansMotor NeuronsPrognosisAmyotrophic lateral sclerosisCluster analysisLower motor neuronUpper motor neuron

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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.