Evidence map›Paper›PMID 39464257›Full record

ArticlemedRxiv : the preprint server for health sciences2024

Investigating Mood and Cognition in People with Multiple Sclerosis: A Prospective Study Protocol.

Elena C Cooper, Matthew K Schindler, Amit Bar-Or, Rachel B Brandstadter, Monica E Calkins, Ruben C Gur, Dina A Jacobs, Clyde E Markowitz, Tyler M Moore, Laura R Naydovich and 7 more

Abstract readPreprint
In one paragraph

Article in medRxiv : the preprint server for health sciences, 2024. 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

5 · Who and what money

Authors and funding

17 authors.

Elena C CooperDepartment of Psychiatry, University of Pennsylvania, Philadelphia, PA USA.ORCID 0009-0001-7960-9155
Matthew K SchindlerDepartment of Neurology, University of Pennsylvania, Philadelphia, PA USA.ORCID 0000-0003-0157-5669
Amit Bar-OrDepartment of Neurology, University of Pennsylvania, Philadelphia, PA USA.ORCID 0000-0001-7179-0335
Rachel B BrandstadterDepartment of Neurology, University of Pennsylvania, Philadelphia, PA USA.
Monica E CalkinsDepartment of Psychiatry, University of Pennsylvania, Philadelphia, PA USA.ORCID 0000-0002-0546-0263
Ruben C GurDepartment of Psychiatry, University of Pennsylvania, Philadelphia, PA USA.ORCID 0000-0002-9657-1996
Dina A JacobsDepartment of Neurology, University of Pennsylvania, Philadelphia, PA USA.
Clyde E MarkowitzDepartment of Neurology, University of Pennsylvania, Philadelphia, PA USA.
Tyler M MooreDepartment of Psychiatry, University of Pennsylvania, Philadelphia, PA USA.ORCID 0000-0002-1384-0151
Laura R NaydovichDepartment of Neurology, University of Pennsylvania, Philadelphia, PA USA.ORCID 0009-0003-2025-2483
Christopher M PerroneDepartment of Neurology, University of Pennsylvania, Philadelphia, PA USA.ORCID 0000-0002-8604-2951
Kosha RuparelDepartment of Psychiatry, University of Pennsylvania, Philadelphia, PA USA.
Bailey C SpanglerPenn Statistics in Imaging and Visualization Center (PennSIVE), Department of Biostatistics, Epidemiology, and Informatics, University of Pennsylvania, Philadelphia, PA USA.
Scott TroyanDepartment of Psychiatry, University of Pennsylvania, Philadelphia, PA USA.
Russell T ShinoharaPenn Statistics in Imaging and Visualization Center (PennSIVE), Department of Biostatistics, Epidemiology, and Informatics, University of Pennsylvania, Philadelphia, PA USA.ORCID 0000-0001-8627-8203
Theodore D SatterthwaiteDepartment of Psychiatry, University of Pennsylvania, Philadelphia, PA USA.ORCID 0000-0001-7072-9399
Erica B BallerDepartment of Psychiatry, University of Pennsylvania, Philadelphia, PA USA.ORCID 0000-0002-7987-3773

Funding

Depression as a disease of network disruption: learning from multiple sclerosisK23MH133118 · NIMH · UNIVERSITY OF PENNSYLVANIA · PI Erica Berlin Baller · 2023 to 2026
$780k
NIMH NIH HHS K23 MH133118NIMH NIH HHS L30 MH127652
6 · The paper itself

Abstract

Multiple sclerosis (MS) is an immune-mediated neurological disorder that affects one million people in the United States. Up to 50% of people with MS experience depression, yet the mechanisms of depression in MS remain under-investigated. 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. White matter lesions are a key pathologic feature of MS and could disrupt pathways involved in depression symptoms. The purpose of this study is to investigate the impact of brain network disruption on depression using MS as a model. We will obtain structured clinical and cognitive assessments from two hundred fifty participants with MS and prospectively evaluate white matter lesion burden as a predictor of depressive symptoms. 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.

Identifiers

PMID39464257
PMCPMC11507955

What OpenQuestion holds

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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.