Evidence map›Paper›PMID 17874192›Full record

ArticleEuropean journal of epidemiology2007

Geographic distribution of amyotrophic lateral sclerosis through motor neuron disease mortality data.

Raffaella Uccelli, Alessandra Binazzi, Pierluigi Altavista, Stefano Belli, Pietro Comba, Marina Mastrantonio, Nicola Vanacore

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Article in European journal of epidemiology, 2007. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers.

0numbers the graph read from it
0cells of the map it votes in
20citing papers in PubMed
2.6field-weighted citation impact, top 11% of its field
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

20 citing papers in PubMed, 58 citations in OpenAlex.

  1. Biclustering data analysis: a comprehensive survey.Briefings in bioinformatics · 2024
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  7. Spatial analyses of ALS incidence in Denmark over three decades.Amyotrophic lateral sclerosis & frontotemporal degeneration · 2018
    Article
  8. Vitamin D and Neurological Diseases: An Endocrine View.International journal of molecular sciences · 2017
    Review
  9. Review
  10. Article
  11. Article
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  13. Review
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  15. Article
  16. Article
  17. Review
  18. Article
  19. The Rotterdam Study: 2010 objectives and design update.European journal of epidemiology · 2009
    Article
  20. 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

7 authors at 2 institutions in 1 country.

Raffaella UccelliSection of Toxicology and Biomedical Sciences, National Agency for New Technologies, Energy and Environment (ENEA), Rome, Italy. uccelli@casaccia.enea.it
Alessandra Binazzi
Pierluigi Altavista
Stefano Belli
Pietro Comba
Marina Mastrantonio
Nicola Vanacore
Istituto Superiore di Sanità · ITNational Agency for New Technologies, Energy and Sustainable Economic Development · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Amyotrophic lateral sclerosis (ALS) is a rare and devastating neurological disorder of the adult age with a prognosis of about 2-3 years from the onset of the disease. No clear cause has been identified but it seems to be a multifactorial disease with genetic and environmental components involved. Increments of mortality rates were observed since 1980 both in Italy and in many other countries. The objective of the present study is to describe the distribution of ALS mortality in Italy in the period 1980-2001 detecting single municipalities or clusters with high mortality levels for motor neuron disease (MND). ALS represents the main part (85%) of the MND group which is globally identified by the IX ICD (International Classification of Diseases and Causes of Death) 335.2 code. Death numbers and standardized mortality ratios (SMR) for MND were calculated for all Italian municipalities through the ENEA mortality database system (data source: National Institute of Statistics-ISTAT), using national mortality rates as reference. Subsequently, in order to detect municipal clusters, spatial analysis was performed. Out of the 8,099 Italian municipalities, 132 where characterized by SMR values higher than expected. Moreover 16 clusters with significant high relative risk values (RR) were identified, 12 out of them including only a single municipality. Only 22 of the municipalities with high SMR were included in the clusters. In conclusion, the two different epidemiological methodologies demonstrated to be widely complementary in detecting the geographical distribution of the disease in terms of risk for populations. A first selection of the priority areas where analytical studies should be carried on, in order to identify risk factors associated to ALS, is tentatively suggested.

Indexed as

GeographyAgedAmyotrophic Lateral SclerosisCluster AnalysisFemaleHumansItalyMale

Identifiers

PMID17874192
OpenAlexW2000661385

What OpenQuestion holds

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Registered trials

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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.