Evidence map›Paper›PMID 37491680›Full record

ArticleJournal of neurology2023

Presymptomatic geographical distribution of ALS patients suggests the involvement of environmental factors in the disease pathogenesis.

Rosario Vasta, S Callegaro, S Sgambetterra, S Cabras, F Di Pede, F De Mattei, E Matteoni, M Grassano, A Bombaci, G De Marco and 10 more

Abstract read
In one paragraph

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 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Review
  5. Review
  6. Review
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

20 authors.

Rosario Vasta *ALS Center, Department of Neuroscience "Rita Levi Montalcini", University of Turin, Via Cherasco 15, 10126, Turin, Italy. rosario.vasta@unito.it.ORCID http://orcid.org/0000-0002-0393-4736
S Callegaro *ALS Center, Department of Neuroscience "Rita Levi Montalcini", University of Turin, Via Cherasco 15, 10126, Turin, Italy.
S SgambetterraDepartment of Neuroscience "Rita Levi Montalcini", University of Turin, Turin, Italy.
S CabrasALS Center, Department of Neuroscience "Rita Levi Montalcini", University of Turin, Via Cherasco 15, 10126, Turin, Italy.
F Di PedeALS Center, Department of Neuroscience "Rita Levi Montalcini", University of Turin, Via Cherasco 15, 10126, Turin, Italy.
F De MatteiALS Center, Department of Neuroscience "Rita Levi Montalcini", University of Turin, Via Cherasco 15, 10126, Turin, Italy.
E MatteoniALS Center, Department of Neuroscience "Rita Levi Montalcini", University of Turin, Via Cherasco 15, 10126, Turin, Italy.
M GrassanoALS Center, Department of Neuroscience "Rita Levi Montalcini", University of Turin, Via Cherasco 15, 10126, Turin, Italy.
A BombaciALS Center, Department of Neuroscience "Rita Levi Montalcini", University of Turin, Via Cherasco 15, 10126, Turin, Italy.
G De MarcoALS Center, Department of Neuroscience "Rita Levi Montalcini", University of Turin, Via Cherasco 15, 10126, Turin, Italy.
G FudaALS Center, Department of Neuroscience "Rita Levi Montalcini", University of Turin, Via Cherasco 15, 10126, Turin, Italy.
G MarcheseALS Center, Department of Neuroscience "Rita Levi Montalcini", University of Turin, Via Cherasco 15, 10126, Turin, Italy.
F PalumboALS Center, Department of Neuroscience "Rita Levi Montalcini", University of Turin, Via Cherasco 15, 10126, Turin, Italy.
A CanosaALS Center, Department of Neuroscience "Rita Levi Montalcini", University of Turin, Via Cherasco 15, 10126, Turin, Italy.
L MazziniALS Center, Department of Neurology, Azienda Ospedaliero Universitaria Maggiore della Carità, and University of Piemonte Orientale, Novara, Italy.
F De MarchiALS Center, Department of Neurology, Azienda Ospedaliero Universitaria Maggiore della Carità, and University of Piemonte Orientale, Novara, Italy.
C MogliaALS Center, Department of Neuroscience "Rita Levi Montalcini", University of Turin, Via Cherasco 15, 10126, Turin, Italy.
U Manera *ALS Center, Department of Neuroscience "Rita Levi Montalcini", University of Turin, Via Cherasco 15, 10126, Turin, Italy.
A Chiò *ALS Center, Department of Neuroscience "Rita Levi Montalcini", University of Turin, Via Cherasco 15, 10126, Turin, Italy.
A Calvo *ALS Center, Department of Neuroscience "Rita Levi Montalcini", University of Turin, Via Cherasco 15, 10126, Turin, Italy.

Funding

European Union's Horizon 2020 research and innovation programme Brainteaser ProjectEuropean Union's Horizon 2020 research and innovation programme grant GA101017598Ministero della Salute grant RF-2016-02362405Ministero dell'Istruzione, dell'Università e della Ricerca grant 2017SNW5MBMinistero dell'Istruzione, dell'Università e della Ricerca PRINSeventh Framework Programme FP7/2007-2013 under grant agreement 259867
6 · The paper itself

Abstract

backgroundGiven that the pathogenetic process of ALS begins many years prior to its clinical onset, examining patients' residential histories may offer insights on the disease risk factors. Here, we analyzed the spatial distribution of a large ALS cohort in the 50 years preceding the disease onset.

methodsData from the PARALS register were used. A spatial cluster analysis was performed at the time of disease onset and at 1-year intervals up to 50 years prior to that.

resultsA total of 1124 patients were included. The analysis revealed a higher-incidence cluster in a large area (435,000 inhabitants) west of Turin. From 9 to 2 years before their onset, 105 cases were expected and 150 were observed, resulting in a relative risk of 1.49 (P = 0.04). We also found a surprising high number of patients pairs (51) and trios (3) who lived in the same dwelling while not being related. Noticeably, these occurrences were not observed in large dwellings as we would have expected. The probability of this occurring in smaller buildings only by chance was very low (P = 0.01 and P = 0.04 for pairs and trios, respectively).

conclusionsWe identified a higher-incidence ALS cluster in the years preceding the disease onset. The cluster area being densely populated, many exposures could have contributed to the high incidence ALS cluster, while we could not find a shared exposure among the dwellings where multiple patients had lived. However, these findings support that exogenous factors are likely involved in the ALS pathogenesis.

Indexed as

Amyotrophic Lateral SclerosisCluster AnalysisHumansIncidenceRiskAmyotrophic lateral sclerosisEnvironmentEpidemiologyEtiologyGeoepidemiologySpatial epidemiology

Identifiers

PMID37491680
PMCPMC10576667

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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.