Evidence map›Paper›PMID 41938696›Full record

ArticleFrontiers in neuroscience2026

Associations between multimodal retinal measurements and cognitive functions in patients with cerebral small vessel disease.

Meizi Wang, Lan Ma, Mengxi Zhao, Qianqian Yang, Yuetong Liu, Hongyi Yan, Yuan Gao, Ning He, Xuxiang Zhang, Ling Guan and 1 more

Abstract read
In one paragraph

Article in Frontiers in neuroscience, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Meizi Wang *Department of Ophthalmology, Beijing Tiantan Hospital, Capital Medical University, Beijing, China.
Lan Ma *Department of Neurology, Liangxiang Hospital, Beijing, China.
Mengxi ZhaoDepartment of Neurology, Beijing Tiantan Hospital, Capital Medical University, Beijing, China.
Qianqian YangDepartment of Neurology, Beijing Tiantan Hospital, Capital Medical University, Beijing, China.
Yuetong LiuDepartment of Neurology, Beijing Tiantan Hospital, Capital Medical University, Beijing, China.
Hongyi YanChina National Clinical Research Center for Neurological Diseases, Beijing, China.
Yuan GaoDepartment of Ophthalmology, Xuanwu Hospital, Capital Medical University, Beijing, China.
Ning HeEngineering Research Center of Molecular and Neuro-Imaging, Ministry of Education, School of Life Science and Technology, Xidian University, Xi'an, China.
Xuxiang ZhangDepartment of Ophthalmology, Xuanwu Hospital, Capital Medical University, Beijing, China.
Ling GuanDepartment of Neurology, Beijing Tiantan Hospital, Capital Medical University, Beijing, China.
Tingting WangDepartment of Neurology, Beijing Tiantan Hospital, Capital Medical University, Beijing, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Purpose: To investigate the associations between retinal parameters and cognitive impairment and identify retinal biomarkers for detecting cognitive dysfunction in patients with cerebral small vessel disease (CSVD). Methods: This cross-sectional study enrolled 125 patients with CSVD-related white matter hyperintensities. Participants were independent in daily activities and free of significant ophthalmic diseases. Cognition was assessed using the Mini-Mental State Examination (MMSE). Multimodal retinal imaging was employed to evaluate retinal structural and vascular features, including peripapillary retinal nerve fibre layer (pRNFL) and ganglion cell complex thicknesses and vessel densities (VDs) of the radial peripapillary capillary (RPC) network, macular superficial retinal capillary plexus (SRCP), and deep RCP (DRCP). The central retina vascular diameter, mean angle, angle tortuosity, arc length tortuosity, and fractal dimension of the retinal arteries and veins were quantified using a fully automated vessel segmentation and parameter calculation method. Linear and logistic regression models were applied to assess the associations between retinal parameters with general cognitive domains (general cognition, memory, visuospatial space, attention and numeracy, language, and orientation). Receiver operating characteristic (ROC) curves and areas under the ROC curve (AUCs) were used to evaluate the predictive performance of the retinal biomarkers. Results: A smaller central retinal arteriolar equivalent/central retinal venular equivalent ratio [odds ratio (OR) = 0.013, Conclusion: Specific retina parameters are associated with cognitive decline in patients with CSVD. These findings suggest that multimodal retinal evaluation might provide an objective, imaging-based adjunct to conventional subjective cognitive tests for screening cognitive impairment in patients with CSVD. Clinical trial registration: https://www.chictr.org.cn/, identifier ChiCTR 2100043346.

Indexed as

cerebral small vessel diseasecognitive dysfunctionmultimodal retinal evaluationoptical coherence tomography angiographyretinal vessels

Identifiers

PMID41938696
PMCPMC13047173

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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.