2013
DOI: 10.1177/1352458513479841
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A novel method for calculating prevalence of multiple sclerosis in Australia

Abstract: Calculation of prevalence of MS using nation-wide prescription data is a novel method that generates results similar to other potentially more resource-intensive methods.

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Cited by 20 publications
(24 citation statements)
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“…There was generally higher use of RRMS DMM in the more southerly Australian administrative areas than in the more northerly ones, consistent with the known higher prevalence of the disease with increasing distance from the equator in both hemispheres [16][17][18][19][20][21][22][23], the reasons for which remain unclear [24]. There was, however, an exception to this relationship in the relatively high use of RRMS DMM in the ACT, compared with their use in the surrounding state of NSW -a usage pattern driven by heavy prescribing of glatiramer acetate in the ACT.…”
Section: Discussionsupporting
confidence: 70%
See 1 more Smart Citation
“…There was generally higher use of RRMS DMM in the more southerly Australian administrative areas than in the more northerly ones, consistent with the known higher prevalence of the disease with increasing distance from the equator in both hemispheres [16][17][18][19][20][21][22][23], the reasons for which remain unclear [24]. There was, however, an exception to this relationship in the relatively high use of RRMS DMM in the ACT, compared with their use in the surrounding state of NSW -a usage pattern driven by heavy prescribing of glatiramer acetate in the ACT.…”
Section: Discussionsupporting
confidence: 70%
“…There was, however, an exception to this relationship in the relatively high use of RRMS DMM in the ACT, compared with their use in the surrounding state of NSW -a usage pattern driven by heavy prescribing of glatiramer acetate in the ACT. There is no obvious explanation for the different patterns of preferred use of the various agents in the different jurisdictions, apart from consequences of individual neurologist preferences [23]. The differences are more noticeable in jurisdictions with fewer people and fewer neurologists where one neurologist's different pattern of practice may have more obvious consequences for the data.…”
Section: Discussionmentioning
confidence: 96%
“…In nearly all of these regions, a statistically significant association could be shown with either the MS prevalence, or the MS mortality, or the regional “case-control ratio” as an indicator of MS prevalence, ([39–49]; Table 1). Only in Australia, including seven territories, did a more complex pattern emerge [50]: whereas the MS prevalence based on data from the MS society 2010 [51], as compared with diet in 1995 [52], indicated an even “protective” role of processed meat ( n = 7; r S = −0.739; p = 0.058), data from the Survey of Disability, Ageing and Carers (SDAC) of the Australian Bureau of Statistics [51] revealed exactly the reverse ( n = 7; r S = +0.775; p = 0.041; [50], Table 1). Since this data source included only the more disabled patients of MS, it might be speculated that processed food causes a more severe course of MS rather than the risk per se .…”
Section: Further Epidemiological Findings In Support Of the Hypothesismentioning
confidence: 99%
“…With unknown aetiology, MS is the most common CNS disease in people under the age of 40 years and is more prevalent in women . In Australia, MS affects 95 per 100 000 people . The disease is characterized by relapses of neurological dysfunction that generally plateau, followed by either complete or incomplete improvement .…”
Section: Introductionmentioning
confidence: 99%