Evidence map›Paper›PMID 35345609›Full record

ArticleMultiple sclerosis international2022

Incidence and Prevalence of Multiple Sclerosis in Malmö, Southern Sweden.

Lucía Alonso-Magdalena, Elisabet Zia, Olga Carmona I Codina, Hélène Pessah-Rasmussen, Peter Sundström

Abstract read
In one paragraph

Article in Multiple sclerosis international, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

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

1 citing paper in PubMed.

  1. Review
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

5 authors.

Lucía Alonso-MagdalenaDepartment of Neurology, Skåne University Hospital and Department of Clinical Sciences, Lund University, Lund, Sweden.ORCID https://orcid.org/0000-0001-5051-0955
Elisabet ZiaDepartment of Clinical Sciences, Lund University, Malmö, Sweden.ORCID https://orcid.org/0000-0001-9385-0589
Olga Carmona I CodinaDepartment of Neurology, Fundacio Salut Emporda, Figueres and Department of Clinical Sciences, Faculty of Medicine, Girona University, Spain.ORCID https://orcid.org/0000-0002-5957-0046
Hélène Pessah-RasmussenDepartment of Rehabilitation medicine, Skåne University Hospital and Department of Clinical Sciences, Lund University, Lund, Sweden.ORCID https://orcid.org/0000-0002-0241-4798
Peter SundströmDepartment of Clinical Science, Neurosciences, Umeå University, Umeå, Sweden.ORCID https://orcid.org/0000-0003-3552-1861

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objectives: To estimate the incidence and prevalence of multiple sclerosis (MS) in Malmö municipality in southwestern Sweden. Materials and Methods: Multiple sources were used in the case identification process. Case ascertainment was assessed by medical chart review including examinations such as magnetic resonance imaging, cerebrospinal fluid analyses, and relevant laboratory tests. Cases were classified according to the 2010 McDonald's diagnostic criteria. Onset-adjusted prevalence and a definition of onset symptoms were applied. Results: The crude incidence of MS in 2001-2010 in Malmö municipality was 5.3/100,000 (95% confidence interval (CI): 4.5 to 6.2). There was a relapsing onset in 90.5% of cases. The female to male ratio was 1.8. The onset-adjusted prevalence for Dec 2010 was 133/100,000 (95% CI, 120 to 146) with a female to male ratio of 2.1. Conclusions: This is the first population-based epidemiological study in Skåne, the most southwestern part of Sweden showing a high incidence and prevalence. We found a lower incidence than expected according to previous nationwide figures, probably due to methodological differences between the studies. Our findings support the presence of a north-south gradient of MS prevalence in Sweden.

Identifiers

PMID35345609
PMCPMC8957451

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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.