Evidence map›Paper›PMID 41084991›Full record

ArticleAnnals of clinical and translational neurology2026

Amyotrophic Lateral Sclerosis Prevalence Projection in 2040: A Less Rare Disease.

Rosario Vasta, Stefano Callegaro, Antonio Canosa, Umberto Manera, Maurizio Grassano, Francesca Palumbo, Sara Cabras, Enrico Matteoni, Francesca Di Pede, Filippo De Mattei and 9 more

Abstract read
In one paragraph

Article in Annals of clinical and translational 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

19 authors.

Rosario VastaALS Center, Department of Neuroscience "Rita Levi Montalcini", University of Turin, Turin, Italy.ORCID 0000-0002-0393-4736
Stefano CallegaroALS Center, Department of Neuroscience "Rita Levi Montalcini", University of Turin, Turin, Italy.
Antonio CanosaALS Center, Department of Neuroscience "Rita Levi Montalcini", University of Turin, Turin, Italy.ORCID 0000-0001-5876-4079
Umberto ManeraALS Center, Department of Neuroscience "Rita Levi Montalcini", University of Turin, Turin, Italy.
Maurizio GrassanoALS Center, Department of Neuroscience "Rita Levi Montalcini", University of Turin, Turin, Italy.
Francesca PalumboALS Center, Department of Neuroscience "Rita Levi Montalcini", University of Turin, Turin, Italy.
Sara CabrasALS Center, Department of Neuroscience "Rita Levi Montalcini", University of Turin, Turin, Italy.ORCID 0000-0002-4988-2855
Enrico MatteoniALS Center, Department of Neuroscience "Rita Levi Montalcini", University of Turin, Turin, Italy.
Francesca Di PedeALS Center, Department of Neuroscience "Rita Levi Montalcini", University of Turin, Turin, Italy.
Filippo De MatteiALS Center, Department of Neuroscience "Rita Levi Montalcini", University of Turin, Turin, Italy.
Salvatore TafaroALS Center, Department of Neuroscience "Rita Levi Montalcini", University of Turin, Turin, Italy.
Neil M ThakurThakur Health Sciences LLC, USA.
Ryan GrosenickThe ALS Association, Arlington, Virginia, USA.
Fabiola De MarchiALS Center, Department of Neurology, Azienda Ospedaliero Universitaria Maggiore della Carità, and University of Piemonte Orientale, Novara, Italy.
Letizia MazziniALS Center, Department of Neurology, Azienda Ospedaliero Universitaria Maggiore della Carità, and University of Piemonte Orientale, Novara, Italy.
Cristina MogliaALS Center, Department of Neuroscience "Rita Levi Montalcini", University of Turin, Turin, Italy.
Andrea CalvoALS Center, Department of Neuroscience "Rita Levi Montalcini", University of Turin, Turin, Italy.ORCID 0000-0002-5122-7243
Kuldip D DaveThe ALS Association, Arlington, Virginia, USA.
Adriano ChiòALS Center, Department of Neuroscience "Rita Levi Montalcini", University of Turin, Turin, Italy.ORCID 0000-0001-9579-5341

Funding

ALS Association 24-SI-684
6 · The paper itself

Abstract

objectiveTo project ALS prevalence across multiple countries through 2040, accounting for both population aging and increased survival.

methodsData from the Piemonte and Valle d'Aosta ALS register (PARALS) was used to estimate the trends in incidence and prevalence from 2005 to 2019. Survival trends over this period were also assessed. The observed annual increase was then projected into future years up to 2040. Concurrently, the incidence for each future year was calculated using population projections. Finally, the prevalence rate for each year was estimated as the product of the projected incidence and the projected survival. We also estimated survival for fifteen countries by dividing prevalence by incidence, based on available data, and applied the same increase observed in PARALS to project prevalence in these countries up to 2040.

resultsUsing data from 3294 patients, we determined that ALS survival increased by 0.06 years annually from 2005 to 2019 in Piemonte and Valle d'Aosta. Considering changes in incidence due to population aging, the prevalence is projected to reach 15.72 per 100,000 population by 2040 in this area, while rising by a median of 24.9% across multiple countries worldwide. If a new drug could provide a 6-month increase in survival starting in 2025, disease prevalence would rise by 37.8% by 2040. We provided a web interface so users can model different data and assumptions.

interpretationALS prevalence is projected to increase significantly over the next decades. This underscores the need for careful planning and allocation of public health resources.

Indexed as

Amyotrophic Lateral SclerosisRare DiseasesAdultAgedAged, 80 and overFemaleGlobal HealthHumansIncidenceMaleMiddle AgedPrevalenceRegistriesamyotrophic lateral sclerosisepidemiologyprevalencepublic healthsurvival

Identifiers

PMID41084991
PMCPMC12883675

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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.