Evidence map›Paper›PMID 36625888›Full record

ArticleJournal of neurology2023

Optical coherence tomography reflects clinically relevant gray matter damage in patients with multiple sclerosis.

Alessandro Cagol, Nuria Cerdá Fuertes, Marc Stoessel, Muhamed Barakovic, Sabine Schaedelin, Marcus D'Souza, Jens Würfel, Alexander U Brandt, Ludwig Kappos, Till Sprenger and 4 more

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Article in Journal of neurology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 26 papers.

0numbers the graph read from it
0cells of the map it votes in
26citing 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

26 citing papers in PubMed.

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  8. Exploring the relationship between retinal damage and cognition in multiple sclerosis: a cross-sectional OCT-MRI study.Neurological sciences : official journal of the Italian Neurological Society and of the Italian Society of Clinical Neurophysiology · 2026
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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

14 authors.

Alessandro CagolTranslational Imaging in Neurology (ThINK) Basel, Department of Biomedical Engineering, Faculty of Medicine, University Hospital Basel and University of Basel, Basel, Switzerland.ORCID http://orcid.org/0000-0002-7703-0553
Nuria Cerdá FuertesTranslational Imaging in Neurology (ThINK) Basel, Department of Biomedical Engineering, Faculty of Medicine, University Hospital Basel and University of Basel, Basel, Switzerland.
Marc StoesselTranslational Imaging in Neurology (ThINK) Basel, Department of Biomedical Engineering, Faculty of Medicine, University Hospital Basel and University of Basel, Basel, Switzerland.
Muhamed BarakovicTranslational Imaging in Neurology (ThINK) Basel, Department of Biomedical Engineering, Faculty of Medicine, University Hospital Basel and University of Basel, Basel, Switzerland.
Sabine SchaedelinDepartment of Neurology, University Hospital Basel, Petersgraben 4, 4031, Basel, Switzerland.
Marcus D'SouzaDepartment of Neurology, University Hospital Basel, Petersgraben 4, 4031, Basel, Switzerland.
Jens WürfelMedical Image Analysis Center and Department of Biomedical Engineering, University Basel, Basel, Switzerland.
Alexander U BrandtExperimental and Clinical Research Center Max Delbrueck Center for Molecular Medicine, Charité Universitätsmedizin Berlin, Berlin, Germany.
Ludwig KapposTranslational Imaging in Neurology (ThINK) Basel, Department of Biomedical Engineering, Faculty of Medicine, University Hospital Basel and University of Basel, Basel, Switzerland.
Till SprengerDepartment of Neurology, DKD Helios Klinik Wiesbaden, Wiesbaden, Germany.
Yvonne NaegelinDepartment of Neurology, University Hospital Basel, Petersgraben 4, 4031, Basel, Switzerland.
Jens KuhleDepartment of Neurology, University Hospital Basel, Petersgraben 4, 4031, Basel, Switzerland.
Cristina GranzieraTranslational Imaging in Neurology (ThINK) Basel, Department of Biomedical Engineering, Faculty of Medicine, University Hospital Basel and University of Basel, Basel, Switzerland.
Athina PapadopoulouTranslational Imaging in Neurology (ThINK) Basel, Department of Biomedical Engineering, Faculty of Medicine, University Hospital Basel and University of Basel, Basel, Switzerland. athina.papadopoulou@usb.ch.ORCID http://orcid.org/0000-0002-0367-1008

Funding

Eurostars E!113682 HORIZON2020
6 · The paper itself

Abstract

backgroundRetinal degeneration leading to optical coherence tomography (OCT) changes is frequent in patients with multiple sclerosis (PwMS).

objectiveTo investigate associations among OCT changes, MRI measurements of global and regional brain volume loss, and physical and cognitive impairment in PwMS.

methods95 PwMS and 52 healthy controls underwent OCT and MRI examinations. Mean peripapillary retinal nerve fiber layer (pRNFL) thickness and ganglion cell/inner plexiform layer (GCIPL) volume were measured. In PwMS disability was quantified with the Expanded Disability Status Scale (EDSS) and Symbol Digit Modalities Test (SDMT). Associations between OCT, MRI, and clinical measures were investigated with multivariable regression models.

resultsIn PwMS, pRNFL and GCIPL were associated with the volume of whole brain (p < 0.04), total gray matter (p < 0.002), thalamus (p ≤ 0.04), and cerebral cortex (p ≤ 0.003) -both globally and regionally-, but not white matter. pRNFL and GCIPL were also inversely associated with T2-lesion volume (T2LV), especially in the optic radiations (p < 0.0001). The brain volumes associated with EDSS and SDMT significantly overlapped with those correlating with pRNFL and GCIPL.

conclusionsIn PwMS, pRNFL and GCIPL reflect the integrity of clinically-relevant gray matter structures, underling the value of OCT measures as markers of neurodegeneration and disability in multiple sclerosis.

Indexed as

Multiple SclerosisCerebral CortexGray MatterHumansRetinal Ganglion CellsTomography, Optical CoherenceBrain atrophyGanglion cellsMRIMSNeurodegenerationOCT

Identifiers

PMID36625888
PMCPMC10025239

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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.