Evidence map›Paper›PMID 39417125›Full record

ArticlemedRxiv : the preprint server for health sciences2024

Association of Anxiety with Uncinate Fasciculus Lesion Burden in Multiple Sclerosis.

Erica B Baller, Audrey C Luo, Matthew K Schindler, Elena C Cooper, Margaret K Pecsok, Matthew C Cieslak, Melissa Lynne Martin, Amit Bar-Or, Ameena Elahi, Christopher M Perrone and 4 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

14 authors.

Erica B BallerDepartment of Psychiatry, University of Pennsylvania, Philadelphia, PA USA.ORCID 0000-0002-7987-3773
Audrey C LuoDepartment of Psychiatry, University of Pennsylvania, Philadelphia, PA USA.
Matthew K SchindlerDepartment of Neurology, University of Pennsylvania, Philadelphia, PA USA.
Elena C CooperDepartment of Psychiatry, University of Pennsylvania, Philadelphia, PA USA.
Margaret K PecsokDepartment of Psychiatry, University of Pennsylvania, Philadelphia, PA USA.
Matthew C CieslakDepartment of Psychiatry, University of Pennsylvania, Philadelphia, PA USA.
Melissa Lynne MartinPenn Statistics in Imaging and Visualization Center (PennSIVE), Department of Biostatistics, Epidemiology, and Informatics, University of Pennsylvania, Philadelphia, PA USA.
Amit Bar-OrDepartment of Neurology, University of Pennsylvania, Philadelphia, PA USA.
Ameena ElahiDepartment of Information Services, University of Pennsylvania, Philadelphia, PA USA.
Christopher M PerroneDepartment of Neurology, University of Pennsylvania, Philadelphia, PA USA.
Donovan ReidCenter for Biomedical Image Computing and Analytics (CBICA), 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.
Theodore D SatterthwaiteDepartment 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.

Funding

Longitudinal Mapping of Network Development Underlying Executive Dysfunction in AdolescenceR01MH113550 · NIMH · UNIVERSITY OF PENNSYLVANIA · PI Danielle Smith Bassett, Theodore Satterthwaite · 2018 to 2026
$6.9M
Inter-modal Coupling Image AnalyticsR01MH112847 · NIMH · UNIVERSITY OF PENNSYLVANIA · PI Theodore Satterthwaite, Russell Takeshi Shinohara · 2017 to 2026
$5.9M
Harmonization of Multi-Site Neuroimaging Data from Complex Study DesignsR01MH123550 · NIMH · UNIVERSITY OF PENNSYLVANIA · PI SHINOHARA, RUSSELL TAKESHI · 2020 to 2025
$4.0M
Reproducible imaging-based brain growth charts for psychiatryR01MH120482 · NIMH · UNIVERSITY OF PENNSYLVANIA · PI MILHAM, MICHAEL PETER, SATTERTHWAITE, THEODORE · 2019 to 2023
$3.5M
Advanced Statistical Analytics of MRI in MSR01NS112274 · NINDS · UNIVERSITY OF PENNSYLVANIA · PI SHINOHARA, RUSSELL TAKESHI · 2020 to 2024
$2.8M
Statistical methods for large and complex databases of ultra-high-dimensionalR01NS085211 · NINDS · UNIVERSITY OF PENNSYLVANIA · PI SHINOHARA, RUSSELL TAKESHI · 2013 to 2017
$1.8M
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 MH127652NIMH NIH HHS R01 MH112847NIMH NIH HHS R01 MH113550NIMH NIH HHS R01 MH120482NIMH NIH HHS R01 MH123550NINDS NIH HHS R01 NS085211NINDS NIH HHS R01 NS112274
6 · The paper itself

Abstract

Importance: Multiple sclerosis (MS) is an immune-mediated neurological disorder that affects 2.4 million people world-wide, and up to 60% experience anxiety. Objective: We investigated how anxiety in MS is associated with white matter lesion burden in the uncinate fasciculus (UF). Design: Retrospective case-control study of participants who received research-quality 3-tesla (3T) neuroimaging as part of MS clinical care from 2010-2018. Analyses were performed from June 1 Setting: Single-center academic medical specialty MS clinic. Participants: Participants were identified from the electronic medical record. All participants were diagnosed by an MS specialist and completed research-quality MRI at 3T. After excluding participants with poor image quality, 372 were stratified into three groups which were balanced for age and sex: 1) MS without anxiety (MS+noA, n=99); 2) MS with mild anxiety (MS+mildA, n=249); and 3) MS with severe anxiety (MS+severeA, n=24). Exposure: Anxiety diagnosis and anxiolytic medication. Main Outcome and Measure: We first evaluated whether MS+severeA patients had greater lesion burden in the UF than MS+noA. Next, we examined whether increasing anxiety severity was associated with greater UF lesion burden. Generalized additive models were employed, with the burden of lesions (e.g. proportion of fascicle impacted) within the UF as the outcome measure and sex and spline of age as covariates. Results: UF burden was higher in MS+severeA as compared to MS+noA (T=2.02, P=0.045, Cohen's Conclusions and Relevance: We demonstrate that overall lesion burden in UF was associated with the presence and severity of anxiety in patients with MS. Future studies linking white matter lesion burden in UF with treatment prognosis are warranted.

Indexed as

Anxietyelectronic medical recordMRImultiple sclerosisuncinate fasciculuswhite matter

Identifiers

PMID39417125
PMCPMC11482984

What OpenQuestion holds

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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.