Spatial epidemiology of amyotrophic lateral sclerosis in Piedmont and Aosta Valley, Italy: a population‐based cluster analysis. (25th March 2018)
- Record Type:
- Journal Article
- Title:
- Spatial epidemiology of amyotrophic lateral sclerosis in Piedmont and Aosta Valley, Italy: a population‐based cluster analysis. (25th March 2018)
- Main Title:
- Spatial epidemiology of amyotrophic lateral sclerosis in Piedmont and Aosta Valley, Italy: a population‐based cluster analysis
- Authors:
- Vasta, R.
Calvo, A.
Moglia, C.
Cammarosano, S.
Manera, U.
Canosa, A.
D'Ovidio, F.
Mazzini, L.
Chiò, A. - Abstract:
- Abstract : Background and purpose: The analysis of the spatial distribution of cases could give important cues on putative environmental causes of a disease. Our aim was to perform a spatial analysis of an amyotrophic lateral sclerosis (ALS) cohort from the Piedmont and Aosta Valley ALS register (PARALS) over a 20‐year period. Methods: The address at the moment of diagnosis was considered for each ALS case. Municipalities' and census divisions' resident populations during the 1995–2014 period were obtained. A cluster analysis was performed adopting both Moran's index and the Kulldorff spatial scan statistic. Results: A total of 2702 ALS patients were identified. An address was retrieved for 2671 (99%) patients. Moran's index was −0.01 ( P value 0.83), thus revealing no clusters. SaTScan identified no statistically significant clusters. When census divisions were considered, Moran's index was 0.13 ( P value 0.45); SaTScan revealed one statistically significant small cluster in the province of Alessandria. Here, 0.0099 cases were expected and three cases were observed (relative risk 304.60; 95% confidence interval 109.83–845.88, P value 0.03). Discussion: Our study showed a substantial homogeneous distribution of ALS cases in Piedmont and Aosta Valley. The population‐based setting and the adoption of proper statistical analyses strengthen the validity of our results. Such a finding further suggests the involvement of multiple environmental and genetic factors in ALSAbstract : Background and purpose: The analysis of the spatial distribution of cases could give important cues on putative environmental causes of a disease. Our aim was to perform a spatial analysis of an amyotrophic lateral sclerosis (ALS) cohort from the Piedmont and Aosta Valley ALS register (PARALS) over a 20‐year period. Methods: The address at the moment of diagnosis was considered for each ALS case. Municipalities' and census divisions' resident populations during the 1995–2014 period were obtained. A cluster analysis was performed adopting both Moran's index and the Kulldorff spatial scan statistic. Results: A total of 2702 ALS patients were identified. An address was retrieved for 2671 (99%) patients. Moran's index was −0.01 ( P value 0.83), thus revealing no clusters. SaTScan identified no statistically significant clusters. When census divisions were considered, Moran's index was 0.13 ( P value 0.45); SaTScan revealed one statistically significant small cluster in the province of Alessandria. Here, 0.0099 cases were expected and three cases were observed (relative risk 304.60; 95% confidence interval 109.83–845.88, P value 0.03). Discussion: Our study showed a substantial homogeneous distribution of ALS cases in Piedmont and Aosta Valley. The population‐based setting and the adoption of proper statistical analyses strengthen the validity of our results. Such a finding further suggests the involvement of multiple environmental and genetic factors in ALS pathogenesis. … (more)
- Is Part Of:
- European journal of neurology. Volume 25:Number 6(2018)
- Journal:
- European journal of neurology
- Issue:
- Volume 25:Number 6(2018)
- Issue Display:
- Volume 25, Issue 6 (2018)
- Year:
- 2018
- Volume:
- 25
- Issue:
- 6
- Issue Sort Value:
- 2018-0025-0006-0000
- Page Start:
- n/a
- Page End:
- n/a
- Publication Date:
- 2018-03-25
- Subjects:
- amyotrophic lateral sclerosis -- motor neuron diseases -- spatial epidemiology
Neurology -- Periodicals
Nervous system -- Diseases -- Periodicals
616.8 - Journal URLs:
- http://onlinelibrary.wiley.com/journal/10.1111/(ISSN)1468-1331 ↗
http://onlinelibrary.wiley.com/ ↗ - DOI:
- 10.1111/ene.13586 ↗
- Languages:
- English
- ISSNs:
- 1351-5101
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - 3829.731680
British Library DSC - BLDSS-3PM
British Library STI - ELD Digital store - Ingest File:
- 6171.xml