Evidence map›Paper›PMID 32754832›Full record

ArticleJournal of neurology2021

Diagnosis of depression in multiple sclerosis is predicted by frontal-parietal white matter tract disruption.

Kira Ashton, Tom A Fuchs, Devon Oship, Robert Zivadinov, Dejan Jakimovski, Niels Bergsland, Deepa P Ramasamy, Caila Vaughn, Bianca Weinstock-Guttman, Ralph H B Benedict and 1 more

Abstract read
PubMed Publisher
In one paragraph

Article in Journal of neurology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
1.4field-weighted citation impact, top 18% of its field
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

12 citing papers in PubMed, 14 citations in OpenAlex.

  1. Review
  2. Review
  3. Review
  4. Depression and anxiety in multiple sclerosis. Review of a fatal combination.Journal of neural transmission (Vienna, Austria : 1996) · 2024
    Review
  5. Article
  6. Mapping the relationship of white matter lesions to depression in multiple sclerosis.medRxiv : the preprint server for health sciences · 2023
    Article
  7. Article
  8. Review
  9. Neuroimaging Correlates of Patient-Reported Outcomes in Multiple Sclerosis.Degenerative neurological and neuromuscular disease · 2023
    Article
  10. Article
  11. Article
  12. Article
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

11 authors at 5 institutions in 2 countries.

Kira AshtonDepartment of Neurology, Buffalo Neuroimaging Analysis Center, Jacobs School of Medicine and Biomedical Sciences, University at Buffalo, State University of New York (SUNY), 100 High St., Buffalo, NY, 14226, USA.
Tom A FuchsDepartment of Neurology, Buffalo Neuroimaging Analysis Center, Jacobs School of Medicine and Biomedical Sciences, University at Buffalo, State University of New York (SUNY), 100 High St., Buffalo, NY, 14226, USA.
Devon OshipDepartment of Neurology, Buffalo Neuroimaging Analysis Center, Jacobs School of Medicine and Biomedical Sciences, University at Buffalo, State University of New York (SUNY), 100 High St., Buffalo, NY, 14226, USA.
Robert ZivadinovDepartment of Neurology, Buffalo Neuroimaging Analysis Center, Jacobs School of Medicine and Biomedical Sciences, University at Buffalo, State University of New York (SUNY), 100 High St., Buffalo, NY, 14226, USA.
Dejan JakimovskiDepartment of Neurology, Buffalo Neuroimaging Analysis Center, Jacobs School of Medicine and Biomedical Sciences, University at Buffalo, State University of New York (SUNY), 100 High St., Buffalo, NY, 14226, USA.
Niels BergslandDepartment of Neurology, Buffalo Neuroimaging Analysis Center, Jacobs School of Medicine and Biomedical Sciences, University at Buffalo, State University of New York (SUNY), 100 High St., Buffalo, NY, 14226, USA.
Deepa P RamasamyDepartment of Neurology, Buffalo Neuroimaging Analysis Center, Jacobs School of Medicine and Biomedical Sciences, University at Buffalo, State University of New York (SUNY), 100 High St., Buffalo, NY, 14226, USA.
Caila VaughnDepartment of Neurology, Jacobs Multiple Sclerosis Center for Treatment and Research, Jacobs School of Medicine and Biomedical Sciences, University at Buffalo, State University of New York (SUNY), Buffalo, NY, USA.
Bianca Weinstock-GuttmanDepartment of Neurology, Buffalo Neuroimaging Analysis Center, Jacobs School of Medicine and Biomedical Sciences, University at Buffalo, State University of New York (SUNY), 100 High St., Buffalo, NY, 14226, USA.
Ralph H B BenedictDepartment of Neurology, Jacobs Multiple Sclerosis Center for Treatment and Research, Jacobs School of Medicine and Biomedical Sciences, University at Buffalo, State University of New York (SUNY), Buffalo, NY, USA.
Michael G DwyerDepartment of Neurology, Buffalo Neuroimaging Analysis Center, Jacobs School of Medicine and Biomedical Sciences, University at Buffalo, State University of New York (SUNY), 100 High St., Buffalo, NY, 14226, USA. mgdwyer@buffalo.edu.ORCID http://orcid.org/0000-0003-4684-4658
Jacobs (United States) · USUniversity at Buffalo, State University of New York · USAmerican University · USBuffalo State University · USDon Carlo Gnocchi Foundation · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundPersons with multiple sclerosis (PwMS) are at an elevated risk of depression. Decreased Conscientiousness may affect patient outcomes in PwMS. Low Conscientiousness has a strong correlation with depression. Previous work has also reported that white matter (WM) tract disruption in frontal-parietal networks explains reduced Conscientiousness in PwMS.

objectiveWe hypothesized that Conscientiousness-associated WM tract disruption predicts new-onset depression over 5 years in PwMS and evaluated this by assessing the predictive power of mean Conscientiousness associated frontal-parietal network (CFPN) disruption in PwMS for clinically diagnosed depression over 5 years.

methodsThis longitudinal retrospective analysis included 53 PwMS who were not previously diagnosed as depressed. All participants underwent structural MRI. Medical records were reviewed to evaluate diagnosis of depression for these patients over 5 years. WM tract damage between pairs of gray matter regions in the CFPN was measured using diffusion imaging. The relationship between CFPN disruption and depression was analyzed using logistic regression.

resultsParticipants with MS had a mean age of 46.0 years (SD = 11.2). 22.6% (n = 12) acquired a diagnosis of clinical depression over the 5-year period. Baseline disruption in the CFPN was a significant predictor (ROC AUC = 61.8%). of new-onset clinical depression, accounting for age, sex, lateral ventricular volume, disease modifying treatment, and lesion volume.

conclusionBaseline CFPN disruption is associated with progression to clinical depression over 5 years in PwMS. Development of new WM pathology within this network may be a risk factor for depression.

Indexed as

Multiple SclerosisWhite MatterDepressionGray MatterHumansMagnetic Resonance ImagingMiddle AgedRetrospective StudiesConscientiousnessDepressionDiffusion imagingMultiple sclerosisWhite matter

Identifiers

PMID32754832
OpenAlexW3047322899

What OpenQuestion holds

Textmetadata
Read underepoch 390

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.