Evidence map›Paper›PMID 37008534›Full record

ArticleeNeurologicalSci2023

Epidemiology of amyotrophic lateral sclerosis in the north east Tuscany in the 2018-2021 period.

Sabrina Mata, Matteo Bussotti, Monica Del Mastio, Alessandro Barilaro, Patrizia Piersanti, Maria Lombardi, Massimo Cincotta, Sara Torricelli, Deborah Leccese, Martina Sperti and 3 more

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in eNeurologicalSci, 2023. 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

13 authors.

Sabrina MataNeurology 1, Dipartimento Neuromuscolo-Scheletrico e Degli Organi di Senso, Univeristy Hospital of Careggi, Florence, Italy.
Matteo BussottiDepartment of Experimental and Clinical Medicine, University of Florence, Florence, Italy.
Monica Del MastioNeurology 1, Dipartimento Neuromuscolo-Scheletrico e Degli Organi di Senso, Univeristy Hospital of Careggi, Florence, Italy.
Alessandro BarilaroNeurology 2, Dipartimento Neuromuscolo-Scheletrico e Degli Organi di Senso, University Hospital of Careggi, Florence, Italy.
Patrizia PiersantiNeurology, Neurophysiopathology, and Stroke Unit, Santo Stefano Hospital, Prato, Italy.
Maria LombardiNeurology, San Giuseppe Hospital, Empoli, Italy.
Massimo CincottaDepartment of Medicine, Unit of Neurology of Florence, San Giovanni di Dio Hospital, Florence, Italy.
Sara TorricelliDepartment of Neuroscience, Psychology, Drug Research and Child Health (NEUROFARBA), University of Florence, Florence, Italy.
Deborah LecceseDepartment of Neuroscience, Psychology, Drug Research and Child Health (NEUROFARBA), University of Florence, Florence, Italy.
Martina SpertiDepartment of Neuroscience, Psychology, Drug Research and Child Health (NEUROFARBA), University of Florence, Florence, Italy.
Gabriele Rosario RodolicoDepartment of Neuroscience, Psychology, Drug Research and Child Health (NEUROFARBA), University of Florence, Florence, Italy.
Benedetta NacmiasDepartment of Neuroscience, Psychology, Drug Research and Child Health (NEUROFARBA), University of Florence, Florence, Italy.
Sandro SorbiDepartment of Neuroscience, Psychology, Drug Research and Child Health (NEUROFARBA), University of Florence, Florence, Italy.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: The incidence of Amyotrophic Lateral Sclerosis (ALS) varies among different geographical areas and seems to increase over time. This study aimed to examine the epidemiologic data of ALS in the north-east Tuscany and compare the results with those of similar surveys. Methods: Data from ALS cases diagnosed in Florence and Prato Hospitals were prospectively collected from 1st June 2018 to 31st May 2021. Results: The age- and sex-adjusted incidence rate of ALS in cases per 100,000 population was 2.71 (M/F ratio: 1.21), significantly higher as compared to that reported in the 1967-1976 decade in the same geographical area (0.714). The age- and sex-adjusted incidence rate among resident strangers was similar to that of the general population (2.69). A slightly higher incidence rate (4.36) was observed in the north-east area of Florence province, which includes the Mugello valley. The mean prevalence was of 7.17/100,00. The mean age at diagnosis was 69.7 years, with a peak between 70 and 79 years among men and a smoother age curve among women. Conclusions: ALS epidemiological features in north-east Tuscany are in line with other Italian and European Centers. The dramatic increase of the local disease burden over the last decades probably reflects better ascertainment methods and health system.

Indexed as

ALS prevalenceAmyotrophic lateral sclerosisCOVID-19Incidence studyPandemic

Identifiers

PMID37008534
PMCPMC10063398

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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.