Evidence map›Paper›PMID 38712323›Full record

ArticleBrain communications2024

Systemic inflammation associates with and precedes cord atrophy in progressive multiple sclerosis.

Charlotte M Stuart, Aravinthan Varatharaj, Yukai Zou, Angela Darekar, Janine Domjan, Claudia A M Gandini Wheeler-Kingshott, V Hugh Perry, Ian Galea

Abstract read
In one paragraph

Article in Brain communications, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

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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

8 authors.

Charlotte M StuartClinical Neurosciences, Clinical and Experimental Sciences, Faculty of Medicine, University of Southampton, Southampton SO16 6YD, UK.
Aravinthan VaratharajClinical Neurosciences, Clinical and Experimental Sciences, Faculty of Medicine, University of Southampton, Southampton SO16 6YD, UK.
Yukai ZouClinical Neurosciences, Clinical and Experimental Sciences, Faculty of Medicine, University of Southampton, Southampton SO16 6YD, UK.
Angela DarekarDepartment of Medical Physics, University Hospital Southampton NHS Foundation Trust, Southampton SO16 6YD, UK.
Janine DomjanWessex Neurological Centre, University Hospital Southampton NHS Foundation Trust, Southampton SO16 6YD, UK.
Claudia A M Gandini Wheeler-KingshottDepartment of Neuroinflammation, Faculty of Brain Sciences, NMR Research Unit, Queen Square Multiple Sclerosis Centre, UCL Queen Square Institute of Neurology, University College London, London WC1B 5EH, UK.ORCID https://orcid.org/0000-0002-4832-1300
V Hugh PerrySchool of Biological Sciences, University of Southampton, Southampton SO16 6YD, UK.
Ian GaleaClinical Neurosciences, Clinical and Experimental Sciences, Faculty of Medicine, University of Southampton, Southampton SO16 6YD, UK.ORCID https://orcid.org/0000-0002-1268-5102

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In preclinical models of multiple sclerosis, systemic inflammation has an impact on the compartmentalized inflammatory process within the central nervous system and results in axonal loss. It remains to be shown whether this is the case in humans, specifically whether systemic inflammation contributes to spinal cord or brain atrophy in multiple sclerosis. Hence, an observational longitudinal study was conducted to delineate the relationship between systemic inflammation and atrophy using magnetic resonance imaging: the SIMS (Systemic Inflammation in Multiple Sclerosis) study. Systemic inflammation and progression were assessed in people with progressive multiple sclerosis (

Indexed as

multiple sclerosisprogressionsystemic inflammation

Identifiers

PMID38712323
PMCPMC11073756

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.