Evidence map›Paper›PMID 39447194›Full record

ArticleAnnals of clinical and translational neurology2024

Chronic active lesions preferentially localize in watershed territories in multiple sclerosis.

Ahmad A Toubasi, Jarrod J Eisma, Jiacheng Wang, Habeeb F Kazimuddin, Bryan Hernandez, Taegan Vinarsky, Caroline Gheen, Zachary Rohm, Carynn Koch, Margareta A Clarke and 5 more

Abstract read
In one paragraph

Article in Annals of clinical and translational neurology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed, 1 pooled it
–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

3 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. 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

15 authors.

Ahmad A ToubasiNeuroimaging Unit, Neuroimmunology Division, Department of Neurology, Vanderbilt University Medical Center (VUMC), Nashville, Tennessee, USA.ORCID 0000-0002-4688-9728
Jarrod J EismaCognitive Division, Department of Neurology, VUMC, Nashville, Tennessee, USA.
Jiacheng WangNeuroimaging Unit, Neuroimmunology Division, Department of Neurology, Vanderbilt University Medical Center (VUMC), Nashville, Tennessee, USA.
Habeeb F KazimuddinNeuroimaging Unit, Neuroimmunology Division, Department of Neurology, Vanderbilt University Medical Center (VUMC), Nashville, Tennessee, USA.
Bryan HernandezNeuroimaging Unit, Neuroimmunology Division, Department of Neurology, Vanderbilt University Medical Center (VUMC), Nashville, Tennessee, USA.
Taegan VinarskyNeuroimaging Unit, Neuroimmunology Division, Department of Neurology, Vanderbilt University Medical Center (VUMC), Nashville, Tennessee, USA.
Caroline GheenNeuroimaging Unit, Neuroimmunology Division, Department of Neurology, Vanderbilt University Medical Center (VUMC), Nashville, Tennessee, USA.
Zachary RohmNeuroimaging Unit, Neuroimmunology Division, Department of Neurology, Vanderbilt University Medical Center (VUMC), Nashville, Tennessee, USA.ORCID 0000-0003-0233-3944
Carynn KochNeuroimaging Unit, Neuroimmunology Division, Department of Neurology, Vanderbilt University Medical Center (VUMC), Nashville, Tennessee, USA.
Margareta A ClarkeNeuroimaging Unit, Neuroimmunology Division, Department of Neurology, Vanderbilt University Medical Center (VUMC), Nashville, Tennessee, USA.
Rachael CheekNeuroimaging Unit, Neuroimmunology Division, Department of Neurology, Vanderbilt University Medical Center (VUMC), Nashville, Tennessee, USA.
John KramerNeuroimmunology Division, Department of Neurology, VUMC, Nashville, Tennessee, USA.
James EatonCognitive Division, Department of Neurology, VUMC, Nashville, Tennessee, USA.
Manus J DonahueCognitive Division, Department of Neurology, VUMC, Nashville, Tennessee, USA.
Francesca BagnatoNeuroimaging Unit, Neuroimmunology Division, Department of Neurology, Vanderbilt University Medical Center (VUMC), Nashville, Tennessee, USA.ORCID 0000-0001-9544-9019

Funding

Upgrade and Refurbishment of a 7T MRI Scanner for ResearchS10OD030389 · OD · VANDERBILT UNIVERSITY MEDICAL CENTER · PI GORE, JOHN C · 2021 to 2021
$2.0M
A PET-CT Scanner for Translational ResearchS10OD012297 · OD · VANDERBILT UNIVERSITY MEDICAL CENTER · PI GORE, JOHN C · 2015 to 2015
$2.0M
Improving the Assessment of Myelin and Axonal Integrity in Early Multiple SclerosisI01CX002160 · VA · VETERANS HEALTH ADMINISTRATION · PI BAGNATO, FRANCESCA ROSARIA · 2021 to 2025
–
CSRD VA I01 CX002160National Multiple Sclerosis Society RG-1901-33190NIH HHS S10 OD012297NIH HHS S10 OD030389the National Institutes of Health 6S10OD012297-02the Veterans Health Administration I01CX002160-01A1the Vorus Innovation and Impact Fund
6 · The paper itself

Abstract

objectiveParamagnetic rim lesions (PRLs) are a biomarker of chronic active lesions (CALs), and an important driver of neurological disability in multiple sclerosis (MS). The reason subtending some acute lesions evolvement into CALs is not known. Here we ask whether a relatively lower oxygen content is linked to CALs.

methodsIn this prospective cross-sectional study, 64 people with multiple sclerosis (PwMS), clinically isolated syndrome and radiologically isolated syndrome underwent a 7.0 Tesla (7 T) brain magnetic resonance imaging (MRI). The scanning protocol included a T

resultsOut of 1,975 T

interpretationWe propose the novel concept of a link between arterial vascularization and chronic activity in MS by demonstrating a preferential localization of CALs in ws-territories.

Indexed as

Magnetic Resonance ImagingMultiple SclerosisAdultBrainCross-Sectional StudiesDemyelinating DiseasesFemaleHumansMaleMiddle AgedProspective StudiesWhite Matter

Identifiers

PMID39447194
PMCPMC11572742

What Socratic holds

Textmetadata
LicenceCC BY-NC-ND
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 Socratic graph.