Evidence map›Paper›PMID 35352756›Full record

ReviewArquivos de neuro-psiquiatria2022

Optical coherence tomography in neurodegenerative disorders.

Leonardo Provetti Cunha, Leopoldo Antônio Pires, Marcelo Maroco Cruzeiro, Ana Laura Maciel Almeida, Luiza Cunha Martins, Pedro Nascimento Martins, Nadia Shigaeff, Thiago Cardoso Vale

Open access · goldAbstract readReview
In one paragraph

Review in Arquivos de neuro-psiquiatria, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
3.9field-weighted citation impact, top 6% of its field
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

12 citing papers in PubMed, 21 citations in OpenAlex.

  1. Article
  2. Article
  3. Review
  4. Review
  5. Review
  6. Optic Disc Pallor in Parkinson's Disease: A UK Biobank Study.Movement disorders : official journal of the Movement Disorder Society · 2025
    Article
  7. Article
  8. Article
  9. Review
  10. Schizophrenia in Translation: Why the Eye?Schizophrenia bulletin · 2022
    Article
  11. Article
  12. Review
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 at 1 institution in 1 country.

Leonardo Provetti CunhaUniversidade Federal de Juiz de Fora, Faculdade de Medicina, Divisão de Oftalmologia, Juiz de Fora MG, Brazil.ORCID 0000-0001-7984-1790
Leopoldo Antônio PiresUniversidade Federal de Juiz de Fora, Faculdade de Medicina, Pós-Graduação em Saúde, Núcleo de Pesquisa em Neurologia, Juiz de Fora MG, Brazil.ORCID 0000-0002-8636-3931
Marcelo Maroco CruzeiroUniversidade Federal de Juiz de Fora, Faculdade de Medicina, Pós-Graduação em Saúde, Núcleo de Pesquisa em Neurologia, Juiz de Fora MG, Brazil.ORCID 0000-0001-6898-2790
Ana Laura Maciel AlmeidaUniversidade Federal de Juiz de Fora, Faculdade de Medicina, Pós-Graduação em Saúde, Núcleo de Pesquisa em Neurologia, Juiz de Fora MG, Brazil.ORCID 0000-0001-8842-9896
Luiza Cunha MartinsUniversidade Federal de Juiz de Fora, Faculdade de Medicina, Pós-Graduação em Saúde, Núcleo de Pesquisa em Neurologia, Juiz de Fora MG, Brazil.ORCID 0000-0002-5553-7628
Pedro Nascimento MartinsUniversidade Federal de Juiz de Fora, Faculdade de Medicina, Pós-Graduação em Saúde, Núcleo de Pesquisa em Neurologia, Juiz de Fora MG, Brazil.ORCID 0000-0002-5760-6869
Nadia ShigaeffUniversidade Federal de Juiz de Fora, Faculdade de Medicina, Pós-Graduação em Saúde, Núcleo de Pesquisa em Neurologia, Juiz de Fora MG, Brazil.ORCID 0000-0003-1549-6240
Thiago Cardoso ValeUniversidade Federal de Juiz de Fora, Faculdade de Medicina, Pós-Graduação em Saúde, Núcleo de Pesquisa em Neurologia, Juiz de Fora MG, Brazil.ORCID 0000-0001-6145-9868
Universidade Federal de Juiz de Fora · BR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundStructural imaging of the brain is the most widely used diagnostic tool for investigating neurodegenerative diseases. More advanced structural imaging techniques have been applied to early or prodromic phases, but they are expensive and not widely available. Therefore, it is highly desirable to search for noninvasive, easily accessible, low-cost clinical biomarkers suitable for large-scale population screening, in order to focus on making diagnoses at the earliest stages of the disease. In this scenario, imaging studies focusing on the structures of the retina have increasingly been used for evaluating neurodegenerative diseases. The retina shares embryological, histological, biochemical, microvascular and neurotransmitter similarities with the cerebral cortex, thus making it a uniquely promising biomarker for neurodegenerative diseases. Optical coherence tomography is a modern noninvasive imaging technique that provides high-resolution two-dimensional cross-sectional images and quantitative reproducible three-dimensional volumetric measurements of the optic nerve head and retina. This technology is widely used in ophthalmology practice for diagnosing and following up several eye diseases, such as glaucoma, diabetic retinopathy and age-related macular degeneration. Its clinical impact on neurodegenerative diseases has raised enormous interest over recent years, as several clinical studies have demonstrated that these diseases give rise to reduced thickness of the inner retinal nerve fiber layer, mainly composed of retinal ganglion cells and their axons. In this review, we aimed to address the clinical utility of optical coherence tomography for diagnosing and evaluating different neurodegenerative diseases, to show the potential of this noninvasive and easily accessible method.

Indexed as

Neurodegenerative DiseasesTomography, Optical CoherenceHumansRetina

Identifiers

PMID35352756
PMCPMC9648920
OpenAlexW4221057267

What OpenQuestion 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 OpenQuestion graph.