Evidence map›Paper›PMID 39572632›Full record

ArticleScientific reports2024

OCTA evaluates changes in retinal microvasculature in renal hypertension patients.

Le Wang, Jun-Yi Wang, Cheng Chen, Min Kang, San-Hua Xu, Hong Wei, Qian Ling, Liang-Qi He, Jie Zou, Xu Chen and 3 more

Abstract read
In one paragraph

Article in Scientific reports, 2024. 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. Article
  2. [Development of an OCTA-based risk prediction model for retinopathy in patients with obstructive sleep apnea and hypertension].Lin chuang er bi yan hou tou jing wai ke za zhi = Journal of clinical otorhinolaryngology head and neck surgery · 2026
    Article
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  5. 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

13 authors.

Le Wang *Eye Institute and Affiliated Xiamen Eye Center of Xiamen University, School of Medicine, Xiamen University, Xiamen, 361000, Fujian, People's Republic of China.
Jun-Yi Wang *The First School of Clinical Medicine of Nanchang University, Jiangxi Medical College of Nanchang University, No.461 Bayi Avenue, Nanchang, 330000, Jiangxi, People's Republic of China.
Cheng ChenDepartment of Ophthalmology, The First Affiliated Hospital of Nanchang University, Nanchang, 330006, Jiangxi, People's Republic of China.
Min KangDepartment of Ophthalmology, The First Affiliated Hospital of Nanchang University, Nanchang, 330006, Jiangxi, People's Republic of China.
San-Hua XuDepartment of Ophthalmology, The First Affiliated Hospital of Nanchang University, Nanchang, 330006, Jiangxi, People's Republic of China.
Hong WeiDepartment of Ophthalmology, The First Affiliated Hospital of Nanchang University, Nanchang, 330006, Jiangxi, People's Republic of China.
Qian LingDepartment of Ophthalmology, The First Affiliated Hospital of Nanchang University, Nanchang, 330006, Jiangxi, People's Republic of China.
Liang-Qi HeDepartment of Ophthalmology, The First Affiliated Hospital of Nanchang University, Nanchang, 330006, Jiangxi, People's Republic of China.
Jie ZouDepartment of Ophthalmology, The First Affiliated Hospital of Nanchang University, Nanchang, 330006, Jiangxi, People's Republic of China.
Xu ChenOphthalmology Centre of Maastricht University, Maastricht, 6200 MS, Limburg Province, The Netherlands.
Ping YingDepartment of Ophthalmology, The First Affiliated Hospital of Nanchang University, Nanchang, 330006, Jiangxi, People's Republic of China.
Hui HuangDepartment of Ophthalmology, The First Affiliated Hospital of Nanchang University, Nanchang, 330006, Jiangxi, People's Republic of China.
Yi ShaoDepartment of Ophthalmology, Shanghai General Hospital, Shanghai Jiao Tong University School of Medicine; National Clinical Research Center for Eye Diseases, Shanghai Key Laboratory of Ocular Fundus Diseases, Shanghai Engineering Center for Visual Science and Photomedicine, Shanghai Engineering Center for Precise Diagnosis and Treatment of Eye Diseases, Shanghai, 200030, People's Republic of China. freebee99@163.com.

Funding

Jiangxi Double-Thousand Plan High-Level Talent Project of Science and Technology Innovation No.jxsq2023201036Key R & D Program of Jiangxi Province 20223BBH80014National Natural Science Foundation of China No.82160195Science and Technology Project of Jiangxi Health Commission No. 202210017Science and Technology Project of Jiangxi Province Health Commission of Traditional Chinese Medicine No. 2022B258
6 · The paper itself

Abstract

The objective of this study is to utilize optical coherence tomography angiography (OCTA) techniques for the purpose of identifying abnormalities in retinal and conjunctival vascular density among patients afflicted with renal hypertension. From October 2022 to October 2023, a cohort of sixteen patients diagnosed with renal hypertension (RH), comprising a total of 32 eyes, was selected from the Department of Nephrology at the First Affiliated Hospital of Nanchang University. Concurrently, a group of sixteen healthy individuals, carefully matched in characteristics, was recruited from volunteers at the Ophthalmology Research Center and designated as the healthy controls (HCs) group. Optical coherence tomography angiography was employed to assess and examine the superficial vascular plexus (SVP) and deep vascular plexus (DVP) of the macular retina in both eyes. Subsequently, a comparative analysis was conducted between the two groups, focusing on the superficial and deep retinal microvessels (MIR), macrovascular (MAR), and total microvascular (TMI). The present study employed the central annuli segmentation method (C1-C6), the hemispheric segmentation method (SL, IL, SR, IR), and the Early Treatment Diabetic Retinopathy Study (S, I, L, R) to evaluate deviations in retinal blood vessel density. The investigation aimed to examine the association between blood vessel density and TMI in conjunctival capillaries. A statistically significant difference (p < 0.05) in macular retinal vascular density was observed between the two groups based on the OCTA data. Specifically, in SVP, the density of TMI, MIR, and MAR in the RH group was significantly lower compared to the HCs group (p < 0.05). Additionally, the deep density of TMI and MIR in DVP of the RH group was significantly lower than that of the HCs group (p < 0.05). Furthermore, using the hemispheric segmentation method, both the superficial and deep retina showed a significant reduction in the density of SL, SR and IL regions (p < 0.05). In the ETDRS method, there was a significant decrease in superficial and deep retinal S, I, and L in the RH group (p < 0.05). When applying the central annuli segmentation methods, the RH group exhibited a significant decrease in the superficial retinal C1-3 region (p < 0.05) and a noticeable reduction in the deep retina in the C1-4 region (p < 0.05). Furthermore, a higher positive likelihood ratio was observed in the deep SL and superficial C2 region. There was a positive correlation between conjunctival capillary density and the region of TMI in depth. The results of the OCTA investigation revealed a significant disparity in the density of superficial and deep retinal blood vessels between RH group and the HCs group. Additionally, a notable correlation was observed between the depth of TMI and the density of conjunctival capillaries. These findings highlight the potential of retinal OCTA as a valuable tool for early detection and image-assisted diagnosis of retinopathy progression in patients with RH.

Indexed as

MicrovesselsRetinal VesselsTomography, Optical CoherenceAdultAgedCase-Control StudiesFemaleHumansHypertensionMaleMiddle AgedRetinaMicrovessel densityOptical coherence tomography angiographyRenal hypertension

Identifiers

PMID39572632
PMCPMC11582710

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