Evidence map›Paper›PMID 31872352›Full record

ArticleNeurological sciences : official journal of the Italian Neurological Society and of the Italian Society of Clinical Neurophysiology2020

Increased prevalence of multiple sclerosis and clusters of different disease risk in Northern Italy.

Roberto Bergamaschi, Maria Cristina Monti, Leonardo Trivelli, Vincenzo Paolo Introcaso, Giulia Mallucci, Paola Borrelli, Leonardo Gerosa, Cristina Montomoli

Abstract read
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In one paragraph

Article in Neurological sciences : official journal of the Italian Neurological Society and of the Italian Society of Clinical Neurophysiology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed, 1 pooled it
–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

5 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. Temporal trends of incidence and prevalence of multiple sclerosis in Razavi Khorasan Province, Northeast Iran.Neurological sciences : official journal of the Italian Neurological Society and of the Italian Society of Clinical Neurophysiology · 2022
    Article
  4. PMEnvironmental science and pollution research international · 2021
    Article
  5. Multiple Sclerosis in the Campania Region (South Italy): Algorithm Validation and 2015-2017 Prevalence.International journal of environmental research and public health · 2020
    Article
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

8 authors.

Roberto BergamaschiMultiple Sclerosis Center, IRCCS Mondino Foundation, via Mondino 2, 27100, Pavia, Italy.
Maria Cristina MontiDepartment of Public Health, Experimental and Forensic Medicine, Unit of Biostatistics and Clinical Epidemiology, University of Pavia, Pavia, Italy.
Leonardo TrivelliDepartment of Public Health, Experimental and Forensic Medicine, Unit of Biostatistics and Clinical Epidemiology, University of Pavia, Pavia, Italy.
Vincenzo Paolo IntrocasoMultiple Sclerosis Center, IRCCS Mondino Foundation, via Mondino 2, 27100, Pavia, Italy.
Giulia MallucciMultiple Sclerosis Center, IRCCS Mondino Foundation, via Mondino 2, 27100, Pavia, Italy. giulia.mallucci@mondino.it.ORCID http://orcid.org/0000-0002-0031-9594
Paola BorrelliDepartment of Public Health, Experimental and Forensic Medicine, Unit of Biostatistics and Clinical Epidemiology, University of Pavia, Pavia, Italy.
Leonardo GerosaMultiple Sclerosis Center, IRCCS Mondino Foundation, via Mondino 2, 27100, Pavia, Italy.
Cristina MontomoliDepartment of Public Health, Experimental and Forensic Medicine, Unit of Biostatistics and Clinical Epidemiology, University of Pavia, Pavia, Italy.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe increasing multiple sclerosis (MS) prevalence is varying across the macroscopic regional areas. Only few studies have explored the microscopic geographic variation of MS prevalence, which could highlight MS spatial clusters.

objectiveIn this ecological study, we aimed to estimate 2016 MS prevalence in the province of Pavia (Northern Italy) and to describe MS risk geographical variation across small area units, compared to the year 2000.

methodsBayesian models were fit to estimate area-specific MS relative risks. The mean of the posterior marginal distribution of relative risks differences for each area were used to describe the risk variation.

resultsThe 2016 overall prevalence was 169.4 per 100,000 inhabitants (95% CI 158.8-180.6). The Bayesian mapping of MS showed some clusters of higher and lower disease prevalence. Furthermore, several municipalities located in the north part of the province were more at risk with respect to the year 2000.

conclusionsThe current MS prevalence sets the province of Pavia among high-risk areas and, compared with the previous prevalence estimate (86 per 100,000 in year 2000), indicates an increased MS risk. The Bayesian mapping highlighted area with a significantly higher/lower MS risk where to investigate etiologic hypotheses based on environmental and genetic exposures.

Indexed as

AdolescentAdultAgedBayes TheoremChildChild, PreschoolCluster AnalysisFemaleHumansInfantInfant, NewbornItalyMaleMiddle AgedMultiple SclerosisPrevalenceBayesianDisease mappingGeographical distributionMultiple sclerosisPrevalenceRisk of multiple sclerosis

Identifiers

PMID31872352

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

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.