Evidence map›Paper›PMID 41390351›Full record

ArticleJournal of neurology2025

Application of optical coherence tomography in multiple sclerosis: consensus recommendations of the Austrian network (AN-OCT-MS).

Gabriel Bsteh, Luisa Velez Escola, Harald Hegen, Ewald Lindner, Michael Khalil, Sophie Schneider, Gerhard Traxler, Erich Raithel, Christian Bsteh, Christoph Mitsch and 3 more

Abstract readConsensus Statement
In one paragraph

Article in Journal of neurology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
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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

13 authors.

Gabriel BstehDepartment of Neurology, Medical University of Vienna, Waehringer Guertel 18-20, 1090, Vienna, Austria. gabriel.bsteh@meduniwien.ac.at.ORCID http://orcid.org/0000-0002-0825-0851
Luisa Velez EscolaDepartment of Ophthalmology, Medical University of Innsbruck, Innsbruck, Austria.
Harald HegenDepartment of Neurology, Medical University of Innsbruck, Innsbruck, Austria.
Ewald LindnerDepartment of Ophthalmology, Medical University of Graz, Graz, Austria.
Michael KhalilDepartment of Neurology, Medical University of Graz, Graz, Austria.
Sophie SchneiderDepartment of Ophthalmology, Med Campus III, Kepler University Hospital GmbH, Linz, Austria.
Gerhard TraxlerDepartment of Neurology 2, Med Campus III, Kepler University Hospital GmbH, Linz, Austria.
Erich Raithel, Radstadt, Austria.
Christian Bsteh, Salzburg, Austria.
Christoph MitschDepartment of Ophthalmology, Klinik Donaustadt, Vienna, Austria.
Thomas BergerDepartment of Neurology, Medical University of Vienna, Waehringer Guertel 18-20, 1090, Vienna, Austria.
Berthold PempDepartment of Ophthalmology, Medical University of Vienna, Vienna, Austria.
Austrian Network for Optical Coherence in Multiple Sclerosis (AN-OCT-MS)

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Optical coherence tomography (OCT) for measuring retinal layer thicknesses is a new modality relevant for the diagnosis and prognosis of multiple sclerosis (MS), which is now anchored in clinical routine at the latest with the 2024 revision of the McDonald criteria. The aim of this consensus paper, prepared by the members of the Austrian Network for Optical Coherence Tomography in Multiple Sclerosis (AN-OCT-MS), is to provide a acomprehensive recommendation for the use of OCT in patients with MS.

Indexed as

Multiple SclerosisRetinaTomography, Optical CoherenceAustriaHumansConsensusMultiple sclerosisOptical coherence tomography

Identifiers

PMID41390351
PMCPMC12701873

What Socratic holds

Textmetadata
LicenceCC BY
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.