Evidence map›Paper›PMID 35764398›Full record

ArticleNeurology2022

Machine Learning Utility for Optical Coherence Tomography in Multiple Sclerosis: Is the Future Now?

Ahmed T Toosy, Arman Eshaghi

Abstract readEditorialComment
PubMed Publisher
In one paragraph

Article in Neurology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. [Neurodegeneration and retinal changes-A literature overview].Zeitschrift fur Gerontologie und Geriatrie · 2025
    Review
  2. Semi-Supervised Learning for Predicting Multiple Sclerosis.Journal of personalized medicine · 2025
    Article
  3. Review
  4. Review
  5. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

2 authors.

Ahmed T ToosyFrom the Queen Square Multiple Sclerosis Centre, Department of Neuroinflammation, Queen Square UCL Institute of Neurology, University College London; Centre for Medical Image Computing (CMIC), Department of Computer Science, University College London, UK a.toosy@ucl.ac.uk.
Arman EshaghiFrom the Queen Square Multiple Sclerosis Centre, Department of Neuroinflammation, Queen Square UCL Institute of Neurology, University College London; Centre for Medical Image Computing (CMIC), Department of Computer Science, University College London, UK.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

PubMed holds no abstract for this paper.

Indexed as

Multiple SclerosisOptic NeuritisHumansMachine LearningRetinaTomography, Optical Coherence

Identifiers

PMID35764398

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.