Clustering during childhood of multiple sclerosis patients

Walter, Stephen D.; Mousseau, Gilles

doi:10.1016/0021-9681(77)90042-x

Cited by 12 publications

(3 citation statements)

References 23 publications

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“…We observed no statistically significant clustering of MS either for time/pIace of onset or for time/place of birth. This is in agreement with nearly all other MS-populations tested for clustering (12,13,14).…”

Section: Discussionsupporting

confidence: 89%

“…The suggested uneven distribution of MS in Norway was later confirmed through several prevalence studies (7, 8,9) and through the examination of official mortality statistics and registered MS cases receiving disability assistance In spite of foci or clusters of MS in Norway and other countries, studies trying to formally analyse clustering in both time and space, using mathematical techniques, have failed to show evidence of clustering of the disease (12,13,14).…”

Section: )mentioning

confidence: 98%

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Clustering of multiple sclerosis in the county of Hordaland, Western Norway

Larsen

Riise

Nyland

et al. 2009

Acta Neurologica Scandinavica

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We studied the distribution of MS cases in the county of Hordaland, Western Norway. The total MS population comprised 426 patients.The prevalence on January lst, 1963, and on January lst, 1983, and the average annual incidence in the period 1963-1982 were all lower in thescoastal area compared to the inland area.An increase in incidence started in the urban area and was followed some 10 years later in the rural area.The Knox method revealed no statistically significant evidence of clustering either for time/place of onset or for time/place of birth. Indications of clustering according to year of onset were, however, observed in the rural area.

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Section: Discussionsupporting

confidence: 89%

Section: )mentioning

confidence: 98%

Clustering of multiple sclerosis in the county of Hordaland, Western Norway

Larsen

Riise

Nyland

et al. 2009

Acta Neurologica Scandinavica

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“…Results of several investigations have not been fully consistent. No convincing evidence of clustering was found in a few early studies,98–101 but an investigation in Norway supported space‐time clustering during adolescence with a peak at age 18 among individuals in the same community who developed MS,102 whereas a study in Sardinia reported clustering in early childhood 103. The limited and inconsistent evidence for clustering could be explained if this putative infectious agent were ubiquitous in areas of high MS risk, or difficult to transmit among siblings.…”

Section: Beyond Epstein–barr Virus: What Remains Unexplainedmentioning

confidence: 97%

Environmental risk factors for multiple sclerosis. Part I: The role of infection

Ascherio

Munger

2007

Annals of Neurology

950

768

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Although genetic susceptibility explains the clustering of multiple sclerosis (MS) cases within families and the sharp decline in risk with increasing genetic distance, it cannot fully explain the geographic variations in MS frequency and the changes in risk that occur with migration. Epidemiological data provide some support for the "hygiene hypothesis," but with the additional proviso for a key role of Epstein-Barr virus (EBV) in determining MS risk. We show that whereas EBV stands out as the only infectious agent that can explain many of the key features of MS epidemiology, by itself the link between EBV and MS cannot explain the decline in risk among migrants from high to low MS prevalence areas. This decline implies that either EBV strains in low-risk areas have less propensity to cause MS, or that other infectious or noninfectious factors modify the host response to EBV or otherwise contribute to determine MS risk. The role of infectious factors is discussed here; in a companion article, we will examine the possible role of noninfectious factors and provide evidence that high levels of vitamin D may have a protective role, particularly during adolescence. The primary purpose of these reviews is to identify clues to the causes of MS and to evaluate the possibility of primary prevention.

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The Detection of Disease Clustering with Long and Variable Incubation Periods

Harris

1981

Medical Informatics Europe 81

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Clustering during childhood of multiple sclerosis patients

Cited by 12 publications

References 23 publications

Clustering of multiple sclerosis in the county of Hordaland, Western Norway

Clustering of multiple sclerosis in the county of Hordaland, Western Norway

Environmental risk factors for multiple sclerosis. Part I: The role of infection

The Detection of Disease Clustering with Long and Variable Incubation Periods

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