Evidence map›Paper›PMID 37282483›Full record

ArticleNeural regeneration research2023

Retinal thickness and vascular parameters using optical coherence tomography in Alzheimer's disease: a meta-analysis.

Samran Sheriff, Ting Shen, Sandra Abdal, Danit Saks, Mehdi Mirzaei, Veer Gupta, Nitin Chitranshi, Yuyi You, Angela Schultz, Stuart L Graham and 1 more

Open access · goldAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Neural regeneration research, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
1.4field-weighted citation impact, top 20% 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

3 citing papers in PubMed, 6 citations in OpenAlex.

  1. Review
  2. Ocular changes as potential biomarkers for early diagnosis of Alzheimer's disease.Alzheimer's & dementia : the journal of the Alzheimer's Association · 2025
    Review
  3. Article
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

11 authors at 2 institutions in 1 country.

Samran SheriffMacquarie Medical School, Macquarie University, Sydney, NSW, Australia.
Ting ShenMacquarie Medical School, Macquarie University; Save Sight Institute, The University of Sydney, Sydney, NSW, Australia.
Sandra AbdalMacquarie Medical School, Macquarie University, Sydney, NSW, Australia.
Danit SaksMacquarie Medical School, Macquarie University, Sydney, NSW, Australia.
Mehdi MirzaeiMacquarie Medical School, Macquarie University, Sydney, NSW, Australia.
Veer GuptaSchool of Medicine, Deakin University, Melbourne, VIC, Australia.
Nitin ChitranshiMacquarie Medical School, Macquarie University, Sydney, NSW, Australia.
Yuyi YouMacquarie Medical School, Macquarie University, Sydney, NSW, Australia.
Angela SchultzMacquarie Medical School, Macquarie University, Sydney, NSW, Australia.
Stuart L GrahamMacquarie Medical School, Macquarie University; Save Sight Institute, The University of Sydney, Sydney, NSW, Australia.
Vivek GuptaMacquarie Medical School, Macquarie University, Sydney, NSW, Australia.
Macquarie University · AUDeakin University · AU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Examining the retinal tissue has the potential to provide a unique method and technique to quantify Alzheimer's disease-related changes in participants at various stages of the disease. In this meta-analysis, we aimed to investigate the association of various optical coherence tomography parameters with Alzheimer's disease and whether retinal measurements can be used to differentiate between Alzheimer's disease and control subjects. Scientific databases including Google Scholar, Web of Science, and PubMed were systematically searched for published articles that evaluated retinal nerve fiber layer thickness and retinal microvascular network in Alzheimer's disease and control subjects. Seventy-three studies (5850 participants, including 2249 Alzheimer's disease patients and 3601 controls) were included in this meta-analysis. Relative to controls, Alzheimer's disease patients had a significantly lower global retinal nerve fiber layer thickness (standardized mean difference [SMD] = -0.79, 95% confidence intervals [CI]: -1.03 to -0.54, P < 0.00001) as well as each quadrant being thinner in Alzheimer's disease versus controls. Regarding macular parameters, values measured by optical coherence tomography were significantly lower in Alzheimer's disease than controls for macular thickness (pooled SMD: -0.44, 95% CI: -0.67 to -0.20, P = 0.0003), foveal thickness (pooled SMD = -0.39, 95% CI: -0.58 to -0.19, P < 0.0001), ganglion cell inner plexiform layer (SMD = -1.26, 95% CI: -2.24 to -0.27, P = 0.01) and macular volume (pooled SMD = -0.41, 95% CI -0.76 to -0.07, P = 0.02). Analysis using optical coherence tomography angiography parameters revealed mixed results between Alzheimer's disease and controls. Superficial vessel density (pooled SMD = -0.42, 95% CI: -0.68 to -0.17, P = 0.0001) and deep vessel density (pooled SMD = -0.46, 95% CI: -0.75 to -0.18, P = 0.001) were found to be thinner in Alzheimer's disease patients whereas the foveal avascular zone (SMD = 0.84, 95% CI: 0.17-1.51, P = 0.01) was larger in controls. Vascular density and thickness of various retinal layers were decreased in Alzheimer's disease patients compared to controls. Our results provide evidence for optical coherence tomography technology having the potential to detect retinal and microvascular changes in patients diagnosed with Alzheimer's disease and aid in monitoring and early diagnosis methods.

Indexed as

Alzheimer’s diseasefoveal avascular zonemacular thicknessoptical coherence tomographyoptical coherence tomography angiographyretinaretinal nerve fiber layervessel density

Identifiers

PMID37282483
PMCPMC10360097
OpenAlexW4323967863

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-SA
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.