ArticleBMJ open2025
Investigating mood and cognition in people with multiple sclerosis: a prospective cross-sectional study protocol.
Article in BMJ open, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.
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.
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.
Who cites it
2 citing papers in PubMed.
- Depression as a Disease of White Matter Network Disruption: Learning From Multiple Sclerosis.Biological psychiatry · 2026Review
- Association of Anxiety with Uncinate Fasciculus Lesion Burden in Multiple Sclerosis.medRxiv : the preprint server for health sciences · 2024Article
Corrections and comments
- Update of
Authors and funding
17 authors.
Funding
Abstract
introductionMultiple sclerosis (MS) is an immune-mediated neurological disorder that affects one million people in the USA. Up to 50% of patients with MS experience depression, yet the mechanisms of depression in MS remain underinvestigated. MS is characterised by white matter lesions, suggesting that brain network disruption may underlie depression symptoms. Studies of medically healthy participants with depression have described associations between white matter variability and depressive symptoms, but frequently exclude participants with medical comorbidities and thus cannot be extrapolated to people with intracranial diseases. The purpose of this current study is to investigate how brain network disruption underlies depression by learning from the example of MS. METHODS AND ANALYSIS: We will obtain structured clinical and cognitive assessments from 250 participants with MS and prospectively evaluate white matter disease burden as a predictor of depressive symptoms. White matter lesion burden will be quantified by identifying streamlines within white matter fascicles that intersect lesions along any portion of their trajectory, classifying these streamlines as injured, and calculating the total volume of injured streamlines to serve as the metric of disease burden. ETHICS AND DISSEMINATION: Ethics approval was obtained from The University of Pennsylvania Institutional Review Board (protocol #853883). The results of this study will be presented at scientific meetings and conferences and published in peer-reviewed journals.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
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.