Evidence map›Paper›PMID 39385981›Full record

ArticleMultiple sclerosis journal - experimental, translational and clinical

Cesarian sections in women with multiple sclerosis: A Canadian prospective pregnancy study.

Dessa Sadovnick, Maria Criscuoli, Irene Yee, Robert Carruthers, Virginia Devonshire, Penelope Smyth, Kristen M Krysko

Abstract read
In one paragraph

Article in Multiple sclerosis journal - experimental, translational and clinical. 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

7 authors.

Dessa SadovnickDepartment of Medical Genetics, University of British Columbia, Vancouver, Canada.ORCID https://orcid.org/0000-0003-2987-2008
Maria CriscuoliDepartment of Medical Genetics, University of British Columbia, Vancouver, Canada.
Irene YeeDepartment of Medical Genetics, University of British Columbia, Vancouver, Canada.
Robert CarruthersDepartment of Medicine, Division of Neurology, University of British Columbia, Vancouver, Canada.ORCID https://orcid.org/0000-0001-7085-1001
Virginia DevonshireDepartment of Medicine, Division of Neurology, University of British Columbia, Vancouver, Canada.
Penelope SmythDepartment of Medicine (Neurology), University of Alberta, Edmonton, Canada.
Kristen M KryskoBARLO MS Centre, Division of Neurology, Department of Medicine, St Michael's Hospital, University of Toronto, and Li Ka Shing Knowledge Institute, Toronto, Canada.ORCID https://orcid.org/0000-0003-0090-597X

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: An increasing number of women with multiple sclerosis (wMS) are considering pregnancy. Prior studies suggest increased rate of elective cesarian sections (C-sections) in wMS. Methods: The Canadian Multiple Sclerosis Pregnancy Study (CANPREG-MS) is a prospective study on pregnant wMS. This report shows comparisons between (i) CANPREG-MS wMS delivered by C-section and the general population and (ii) C-section and vaginal deliveries in this study cohort. Results: CANPREG-MS has resulted in 170 deliveries with 63 by C-section. The proportion with C-sections in CANPREG-MS (37.1%) was significantly higher than that for the Canadian population (28%) ( Conclusions: C-sections were more common in wMS than the general population, but few were because of maternal MS. CANPREG-MS provides informative data for pregnancies in wMS with well-managed and relatively mild disease. This information is helpful to obstetrical and MS healthcare providers.

Indexed as

cesarian sectionsMultiple sclerosispregnancy

Identifiers

PMID39385981
PMCPMC11459475

What OpenQuestion holds

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LicenceCC BY
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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.