Evidence map›Paper›PMID 33519415›Full record

ArticleFrontiers in aging neuroscience2020

Decreased Retinal Vascular Density in Alzheimer's Disease (AD) and Mild Cognitive Impairment (MCI): An Optical Coherence Tomography Angiography (OCTA) Study.

Xi Wang, Qianhua Zhao, Rui Tao, Huimeng Lu, Zhenxu Xiao, Li Zheng, Ding Ding, Saineng Ding, Yichen Ma, Zhaozeng Lu and 1 more

Open access · goldAbstract read
In one paragraph

Article in Frontiers in aging neuroscience, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 66 papers, 6 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
66citing papers in PubMed, 6 pooled it
8.9field-weighted citation impact, top 2% 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

66 citing papers in PubMed, 6 syntheses or guidelines pooled it, 83 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Pooled it
  4. Pooled it
  5. Pooled it
  6. Pooled it
  7. Optical coherence tomography angiography in cerebral small vessel disease: a review.Graefe's archive for clinical and experimental ophthalmology = Albrecht von Graefes Archiv fur klinische und experimentelle Ophthalmologie · 2026
    Review
  8. Article
  9. Article
  10. Review
  11. Article
  12. Retinal Vasculature in Schizophrenia Spectrum Disorder.Bioengineering (Basel, Switzerland) · 2025
    Article
  13. Observational
  14. Review
  15. Observational
  16. Cerebral Amyloid Deposition WithHuman brain mapping · 2025
    Article
  17. Ocular changes as potential biomarkers for early diagnosis of Alzheimer's disease.Alzheimer's & dementia : the journal of the Alzheimer's Association · 2025
    Review
  18. Article
  19. Article
  20. Article

6 more citing papers are in PubMed but not listed here.

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.

Xi WangDepartment of Ophthalmology, Huashan Hospital, Fudan University, Shanghai, China.
Qianhua ZhaoDepartment of Neurology, Huashan Hospital, Fudan University, Shanghai, China.
Rui TaoDepartment of Ophthalmology, Huashan Hospital, Fudan University, Shanghai, China.
Huimeng LuDepartment of Neurology, Huashan Hospital, Fudan University, Shanghai, China.
Zhenxu XiaoDepartment of Neurology, Huashan Hospital, Fudan University, Shanghai, China.
Li ZhengDepartment of Neurology, Huashan Hospital, Fudan University, Shanghai, China.
Ding DingDepartment of Neurology, Huashan Hospital, Fudan University, Shanghai, China.
Saineng DingDepartment of Neurology, Huashan Hospital, Fudan University, Shanghai, China.
Yichen MaDepartment of Ophthalmology, Huashan Hospital, Fudan University, Shanghai, China.
Zhaozeng LuDepartment of Ophthalmology, Huashan Hospital, Fudan University, Shanghai, China.
Yiqin XiaoDepartment of Ophthalmology, Huashan Hospital, Fudan University, Shanghai, China.
Huashan Hospital · CNFudan University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundTo explore the retinal vascular density changes in Alzheimer's disease (AD) and mild cognitive impairment (MCI) patients using optical coherence tomography angiography (OCTA).

methodsWe recruit 62 AD patients, 47 MCI patients, and 49 cognitively healthy controls (HC) in this study. All participants in the study received a comprehensive ophthalmological and neurological evaluation, including global cognitive screening, as well as the Mini-Mental State Examination (MMSE), and completed the following eye examinations: visual acuity (VA), intraocular pressure (IOP), examination with slit-lamp, fundus photography (Version 1.5.0.0, NIDEK CO, LTD) and Optical coherence tomography imaging (software ReVue version 2017.1.0.155, Optovue Inc., Fremont, CA, United States). The visual rating scales for atrophy and white matter lesion in MRI was evaluated for all the patients with AD and MCI.

resultsIn the AD patient group, the superficial vascular density in the superior, inferior and whole retina was 44.64 ± 3.34, 44.65 ± 3.55, and 44.66 ± 3.36, respectively. These values were 44.24 ± 3.15, 43.72 ± 3.16, and 44 ± 3.07, respectively, in the MCI patient group. After multivariate analysis of the generalized linear model, adjustments for the confounding factors of sex, age, hypertension, diabetes and the quality index of OCTA image, the superficial vascular density in the AD and MCI patient groups was significantly lower than that in the HC group (

conclusionThe superficial vascular density in the AD and MCI patient groups was significantly lower than that in the HC group. Our findings suggest the retinal microvascular dysfunction occurred in MCI and AD.

Indexed as

Alzheimer’s diseasemild cognitive impairmentoptical coherence tomography angiographyretinal blood flowretinal thickness

Identifiers

PMID33519415
PMCPMC7843508
OpenAlexW3120660540

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LicenceCC BY
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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.