Evidence map›Paper›PMID 41288768›Full record

ArticleJournal of neurology2025

Motherhood and diagnostic delay among women with multiple sclerosis.

Alexandra Balshi, John P Dempsey, Sachin Kumbar, Nova Manning, Alexis T Ford, Ursela Baber, Riley Bove, Jacob A Sloane

Abstract read
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In one paragraph

Article in Journal of neurology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

8 authors.

Alexandra BalshiDepartment of Neurology, Beth Israel Deaconess Medical Center, Harvard Medical School, 330 Brookline Ave., Kirstein 215, Boston, MA, 02215, USA. alexandra_balshi@hms.harvard.edu.ORCID http://orcid.org/0000-0002-3202-6921
John P DempseyDepartment of Neurology, Beth Israel Deaconess Medical Center, Harvard Medical School, 330 Brookline Ave., Kirstein 215, Boston, MA, 02215, USA.
Sachin KumbarDepartment of Neurology, Beth Israel Deaconess Medical Center, Harvard Medical School, 330 Brookline Ave., Kirstein 215, Boston, MA, 02215, USA.
Nova ManningDepartment of Neurology, Beth Israel Deaconess Medical Center, Harvard Medical School, 330 Brookline Ave., Kirstein 215, Boston, MA, 02215, USA.
Alexis T FordDepartment of Neurology, Beth Israel Deaconess Medical Center, Harvard Medical School, 330 Brookline Ave., Kirstein 215, Boston, MA, 02215, USA.
Ursela BaberDepartment of Neurology, Beth Israel Deaconess Medical Center, Harvard Medical School, 330 Brookline Ave., Kirstein 215, Boston, MA, 02215, USA.
Riley BoveUCSF Weill Institute for Neurosciences, University of California, San Francisco, CA, USA.
Jacob A SloaneDepartment of Neurology, Beth Israel Deaconess Medical Center, Harvard Medical School, 330 Brookline Ave., Kirstein 215, Boston, MA, 02215, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Multiple sclerosis (MS) is most frequently diagnosed in women between the ages of 20-40, often coinciding with child-rearing years. In this analysis of MS diagnostic delay stratified by parenthood status, women with children had longer time to MS diagnosis than those without children (β = 1.28, p = 0.001), controlling for age at symptom onset, progressive disease subtype, smoking, and social drivers of health. A similar difference between men with and without children was not observed. The association between motherhood and longer time to diagnosis was even more notable in employed (β = 1.94, p = 0.001) and single (β = 1.61, p = 0.001) women.

Indexed as

Delayed DiagnosisMothersMultiple SclerosisAdultFemaleHumansMaleMiddle AgedYoung AdultDiagnosisDisparityMotherhoodMultiple sclerosis

Identifiers

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Registered trials

None linked

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.