Evidence map›Paper›PMID 42758317›Full record

ArticleJournal of neurology2026

What do ALS motor phenotypes measure? A population-based decomposition of their prognostic dimensions.

Andrea Calvo, Cristina Moglia, Stefano Callegaro, Antonio Canosa, Umberto Manera, Gabriele Mora, Sara Cabras, Francesca Palumbo, Enrico Matteoni, Alessandra Maccabeo and 8 more

Abstract read
In one paragraph

Article 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

18 authors.

Andrea Calvo *'Rita Levi Montalcini' Department of Neuroscience, University of Torino, via Cherasco 15, 10126, Turin, Italy. andrea.calvo@unito.it.ORCID http://orcid.org/0000-0002-5122-7243
Cristina Moglia *'Rita Levi Montalcini' Department of Neuroscience, University of Torino, via Cherasco 15, 10126, Turin, Italy.ORCID http://orcid.org/0000-0001-7377-7222
Stefano Callegaro'Rita Levi Montalcini' Department of Neuroscience, University of Torino, via Cherasco 15, 10126, Turin, Italy.ORCID http://orcid.org/0009-0005-2427-2267
Antonio Canosa'Rita Levi Montalcini' Department of Neuroscience, University of Torino, via Cherasco 15, 10126, Turin, Italy.ORCID http://orcid.org/0000-0001-5876-4079
Umberto Manera'Rita Levi Montalcini' Department of Neuroscience, University of Torino, via Cherasco 15, 10126, Turin, Italy.ORCID http://orcid.org/0000-0002-9995-8133
Gabriele Mora'Rita Levi Montalcini' Department of Neuroscience, University of Torino, via Cherasco 15, 10126, Turin, Italy.ORCID http://orcid.org/0000-0002-8388-2373
Sara Cabras'Rita Levi Montalcini' Department of Neuroscience, University of Torino, via Cherasco 15, 10126, Turin, Italy.ORCID http://orcid.org/0000-0002-4988-2855
Francesca Palumbo'Rita Levi Montalcini' Department of Neuroscience, University of Torino, via Cherasco 15, 10126, Turin, Italy.ORCID http://orcid.org/0000-0002-7070-2409
Enrico Matteoni'Rita Levi Montalcini' Department of Neuroscience, University of Torino, via Cherasco 15, 10126, Turin, Italy.ORCID http://orcid.org/0009-0008-2963-8821
Alessandra Maccabeo'Rita Levi Montalcini' Department of Neuroscience, University of Torino, via Cherasco 15, 10126, Turin, Italy.ORCID http://orcid.org/0009-0005-7779-5897
Giorgio Pellegrino'Rita Levi Montalcini' Department of Neuroscience, University of Torino, via Cherasco 15, 10126, Turin, Italy.ORCID http://orcid.org/0009-0005-3276-2514
Emilio Minerva'Rita Levi Montalcini' Department of Neuroscience, University of Torino, via Cherasco 15, 10126, Turin, Italy.ORCID http://orcid.org/0009-0005-7767-0496
Daniela Pascariu'Rita Levi Montalcini' Department of Neuroscience, University of Torino, via Cherasco 15, 10126, Turin, Italy.ORCID http://orcid.org/0009-0007-7015-7512
Fabrizio D'Ovidio'Rita Levi Montalcini' Department of Neuroscience, University of Torino, via Cherasco 15, 10126, Turin, Italy.ORCID http://orcid.org/0000-0001-6304-5415
Rosario Vasta'Rita Levi Montalcini' Department of Neuroscience, University of Torino, via Cherasco 15, 10126, Turin, Italy.ORCID http://orcid.org/0000-0002-0393-4736
Letizia Mazzini *Department of Translational Medicine, University of Eastern Piedmont, Novara, Italy.ORCID http://orcid.org/0000-0003-2479-9120
Fabiola De Marchi *Department of Translational Medicine, University of Eastern Piedmont, Novara, Italy.ORCID http://orcid.org/0000-0003-0197-1880
Adriano Chiò *'Rita Levi Montalcini' Department of Neuroscience, University of Torino, via Cherasco 15, 10126, Turin, Italy.ORCID http://orcid.org/0000-0001-9579-5341

Funding

FP7 Ideas: European Research Council 259867Horizon 2020 Framework Programme 101017598Ministero della Salute PNRR-MAD-2022-12375731Ministero della Salute RF-2016-02362405Ministero dell'Istruzione, dell'Università e della Ricerca 2017SNW5MB
6 · The paper itself

Abstract

backgroundThe ALS-OPM 3.3 classification stratifies incident ALS through three axes: onset region (O), propagation time (P) and motor-neuron pattern (M). We assessed whether OPM 3.3 improves prognostic discrimination over established classifications and characterised how it decomposes their prognostic signal in a population-based cohort.

methodsIn the prospective Piedmont and Aosta Valley ALS Register (2000-2022), patients were classified on the three axes; M was operationalised as M_3class (M0 balanced, M1d UMN-predominant, M2d LMN-predominant), with the PLS-spectrum M1p analysed separately. Outcome was survival (death or tracheostomy) from onset. Multivariable Cox models (O, P1(n), M_3class, age, sex) underwent bootstrap optimism-correction and fivefold cross-validation, and were compared against alternative taxonomies and clinical staging systems.

resultsAmongst 2,738 non-PLS patients (2,561 events, 93.5%), median survival differed across M classes (M0 27.0, M2d 36.0, M1d 41.9 months). OPM 3.3 outperformed the bulbar/spinal dichotomy but matched the classical phenotype (optimism-corrected C-index 0.703, 95% CI 0.685-0.719 vs 0.701). In the arm-proximal cell (95.7% M2d), the O2p protective effect vanished after M adjustment (HR 0.99, 95% CI 0.79-1.24), whilst M2d retained HR 0.83 (95% CI 0.72-0.95), showing prognosis reflects motor-neuron pattern, not anatomy. Adding King's, Milano-Torino (MiToS), or Fine'til 9 (FT9) clinical staging further improved discrimination.

conclusionsOPM 3.3 did not improve discrimination over established phenotypes but decomposed their prognostic signal into independently interpretable dimensions. Favourable prognosis of arm-proximal/flail-arm onset reflects the underlying LMN-predominant phenotype, not onset site. The motor-neuron axis is robust to the treatment of the propagation axis and independent of clinical staging.

Indexed as

Amyotrophic Lateral SclerosisMotor NeuronsAgedFemaleHumansMaleMiddle AgedPhenotypePrognosisProspective StudiesRegistriesAmyotrophic lateral sclerosisDisease stagingMotor phenotypePopulation-based registryPrognosisSurvival analysis

Identifiers

PMID42758317
PMCPMC13588936

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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.