Evidence map›Paper›PMID 41936039›Full record

ArticleMultiple sclerosis (Houndmills, Basingstoke, England)2026

Cardiovascular comorbidities are associated with cross-sectional and longitudinal measures of multiple sclerosis fatigue.

Mahsa Ghajarzadeh, Ellen M Mowry, Kathryn C Fitzgerald, Bardia Nourbakhsh

Abstract readMulticenter Study
In one paragraph

Article in Multiple sclerosis (Houndmills, Basingstoke, England), 2026. 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

4 authors.

Mahsa GhajarzadehThe Johns Hopkins University School of Medicine, Baltimore, MD, USA.ORCID 0000-0002-0890-8852
Ellen M MowryThe Johns Hopkins University School of Medicine, Baltimore, MD, USA.
Kathryn C FitzgeraldThe Johns Hopkins University School of Medicine, Baltimore, MD, USA.ORCID 0000-0003-3137-0322
Bardia NourbakhshThe Johns Hopkins University School of Medicine, Baltimore, MD, USA.ORCID 0000-0002-6617-2003

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundFatigue is common in multiple sclerosis and may be influenced by cardiovascular comorbidities.

objectiveTo test whether cardiovascular comorbidity burden relates to fatigue at baseline and over time, and to assess dose response.

methodsWe analyzed prospectively collected data from MS PATHS across 10 centers. Fatigue was measured with Neuro-QoL Fatigue

resultsAmong 5507 participants, 49% had no cardiovascular comorbidity, 32% had one, 16% had two, and 3% had three. In minimally adjusted cross‑sectional models, any comorbidity was associated with higher fatigue (beta = 0.85; 95% CI, 0.18 to 1.53), with attenuation after adjustment for depression, anxiety, and sleep (beta = 0.20; 95% CI, -0.09 to 0.49). A graded dose response was evident across 0-3 conditions. In longitudinal analyses, effect sizes were larger and remained positive after adjustment (Any vs None: beta = 1.06 in minimal models; beta = 0.39 after adjustment), consistent with a greater comorbidity burden associated with higher fatigue over time.

conclusionsCardiovascular comorbidity burden is associated with greater fatigue, with a dose response over time.

Indexed as

Cardiovascular DiseasesFatigueMultiple SclerosisAdultComorbidityCross-Sectional StudiesFemaleHumansLongitudinal StudiesMaleMiddle Agedcardiovascular comorbiditiesdiabetesdyslipidemiafatiguehypertensionMS PATHSMultiple sclerosis

Identifiers

PMID41936039
PMCPMC13100318

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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.