Evidence map›Paper›PMID 41402599›Full record

ArticleEye (London, England)2026

Retinal single-cell blood velocity in eyes with varied axial length using adaptive optics scanning laser ophthalmoscopy.

Wen-Da Zhou, Li Dong, Yu-Hang Yang, Han-Qing Zhao, Rui-Heng Zhang, Yi-Tong Li, Chu-Yao Yu, He-Yan Li, Hao-Tian Wu, Xu-Han Shi and 2 more

Abstract read
In one paragraph

Article in Eye (London, England), 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

12 authors.

Wen-Da Zhou *Beijing Tongren Eye Center, Beijing key Laboratory of Intraocular Tumor Diagnosis and Treatment, Beijing Ophthalmology& Visual Sciences Key Lab, Medical Artificial Intelligence Research and Verification Key Laboratory of the Ministry of Industry and Information Technology, Beijing Key Laboratory of Intelligent Diagnosis, Treatment and Prevention of Blinding Eye Diseases, Beijing Tongren Hospital, Capital Medical University, Beijing, 100730, China.
Li Dong *Beijing Tongren Eye Center, Beijing key Laboratory of Intraocular Tumor Diagnosis and Treatment, Beijing Ophthalmology& Visual Sciences Key Lab, Medical Artificial Intelligence Research and Verification Key Laboratory of the Ministry of Industry and Information Technology, Beijing Key Laboratory of Intelligent Diagnosis, Treatment and Prevention of Blinding Eye Diseases, Beijing Tongren Hospital, Capital Medical University, Beijing, 100730, China.ORCID 0000-0003-0120-5756
Yu-Hang Yang *Beijing Tongren Eye Center, Beijing key Laboratory of Intraocular Tumor Diagnosis and Treatment, Beijing Ophthalmology& Visual Sciences Key Lab, Medical Artificial Intelligence Research and Verification Key Laboratory of the Ministry of Industry and Information Technology, Beijing Key Laboratory of Intelligent Diagnosis, Treatment and Prevention of Blinding Eye Diseases, Beijing Tongren Hospital, Capital Medical University, Beijing, 100730, China.
Han-Qing ZhaoBeijing Tongren Eye Center, Beijing key Laboratory of Intraocular Tumor Diagnosis and Treatment, Beijing Ophthalmology& Visual Sciences Key Lab, Medical Artificial Intelligence Research and Verification Key Laboratory of the Ministry of Industry and Information Technology, Beijing Key Laboratory of Intelligent Diagnosis, Treatment and Prevention of Blinding Eye Diseases, Beijing Tongren Hospital, Capital Medical University, Beijing, 100730, China.
Rui-Heng ZhangBeijing Tongren Eye Center, Beijing key Laboratory of Intraocular Tumor Diagnosis and Treatment, Beijing Ophthalmology& Visual Sciences Key Lab, Medical Artificial Intelligence Research and Verification Key Laboratory of the Ministry of Industry and Information Technology, Beijing Key Laboratory of Intelligent Diagnosis, Treatment and Prevention of Blinding Eye Diseases, Beijing Tongren Hospital, Capital Medical University, Beijing, 100730, China.ORCID 0000-0002-1324-4739
Yi-Tong LiBeijing Tongren Eye Center, Beijing key Laboratory of Intraocular Tumor Diagnosis and Treatment, Beijing Ophthalmology& Visual Sciences Key Lab, Medical Artificial Intelligence Research and Verification Key Laboratory of the Ministry of Industry and Information Technology, Beijing Key Laboratory of Intelligent Diagnosis, Treatment and Prevention of Blinding Eye Diseases, Beijing Tongren Hospital, Capital Medical University, Beijing, 100730, China.ORCID 0000-0003-4432-2936
Chu-Yao YuBeijing Tongren Eye Center, Beijing key Laboratory of Intraocular Tumor Diagnosis and Treatment, Beijing Ophthalmology& Visual Sciences Key Lab, Medical Artificial Intelligence Research and Verification Key Laboratory of the Ministry of Industry and Information Technology, Beijing Key Laboratory of Intelligent Diagnosis, Treatment and Prevention of Blinding Eye Diseases, Beijing Tongren Hospital, Capital Medical University, Beijing, 100730, China.
He-Yan LiBeijing Tongren Eye Center, Beijing key Laboratory of Intraocular Tumor Diagnosis and Treatment, Beijing Ophthalmology& Visual Sciences Key Lab, Medical Artificial Intelligence Research and Verification Key Laboratory of the Ministry of Industry and Information Technology, Beijing Key Laboratory of Intelligent Diagnosis, Treatment and Prevention of Blinding Eye Diseases, Beijing Tongren Hospital, Capital Medical University, Beijing, 100730, China.
Hao-Tian WuBeijing Tongren Eye Center, Beijing key Laboratory of Intraocular Tumor Diagnosis and Treatment, Beijing Ophthalmology& Visual Sciences Key Lab, Medical Artificial Intelligence Research and Verification Key Laboratory of the Ministry of Industry and Information Technology, Beijing Key Laboratory of Intelligent Diagnosis, Treatment and Prevention of Blinding Eye Diseases, Beijing Tongren Hospital, Capital Medical University, Beijing, 100730, China.
Xu-Han ShiBeijing Tongren Eye Center, Beijing key Laboratory of Intraocular Tumor Diagnosis and Treatment, Beijing Ophthalmology& Visual Sciences Key Lab, Medical Artificial Intelligence Research and Verification Key Laboratory of the Ministry of Industry and Information Technology, Beijing Key Laboratory of Intelligent Diagnosis, Treatment and Prevention of Blinding Eye Diseases, Beijing Tongren Hospital, Capital Medical University, Beijing, 100730, China.
Lei ShaoBeijing Tongren Eye Center, Beijing key Laboratory of Intraocular Tumor Diagnosis and Treatment, Beijing Ophthalmology& Visual Sciences Key Lab, Medical Artificial Intelligence Research and Verification Key Laboratory of the Ministry of Industry and Information Technology, Beijing Key Laboratory of Intelligent Diagnosis, Treatment and Prevention of Blinding Eye Diseases, Beijing Tongren Hospital, Capital Medical University, Beijing, 100730, China.
Wen-Bin WeiBeijing Tongren Eye Center, Beijing key Laboratory of Intraocular Tumor Diagnosis and Treatment, Beijing Ophthalmology& Visual Sciences Key Lab, Medical Artificial Intelligence Research and Verification Key Laboratory of the Ministry of Industry and Information Technology, Beijing Key Laboratory of Intelligent Diagnosis, Treatment and Prevention of Blinding Eye Diseases, Beijing Tongren Hospital, Capital Medical University, Beijing, 100730, China. weiwenbintr@163.com.ORCID 0000-0003-2386-0989

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundTo investigate the hemodynamic changes in the retinal vasculature of the macular region in eyes with axial myopia.

methodsIndividuals with varying axial lengths were included in this study. Inclusion criteria was the absence of any ocular or systemic diseases. A commercial adaptive optics scanning laser ophthalmoscopy was used to capture images of retinal vessels within the 5°-10° areas above and below the foveal centre. This system provided noninvasive imaging of single blood cells and automatically calculated blood velocity while detecting the flow direction. Vessels were classified based on their diameter.

resultsThe study included 90 patients (180 eyes; 35 (38.9%) men) with a mean age of 34.3 ± 12.2 years (range: 19-62 years) and a mean axial length of 25.8 ± 1.9 mm (range: 21.4-30.6 mm). The mean blood velocity in retinal arteries and veins was 35.2 ± 11.4 mm/s and 34.9 ± 13.2 mm/s, respectively. Single-cell blood velocity was significantly increased with longer axial length in large retinal arteries (diamater≥100μm) (B = 2.73; β = 0.32; P = 0.01); and medium retinal arteries (diameter<100μm) (B = 1.83; β = 0.27; P = 0.003). Correspondingly, the blood velocity of medium retinal arteries in the myopic group was significantly higher than that in the non-myopic group (t = 3.37; P = 0.001). Single-cell blood velocity was significantly increased with longer axial length in medium retinal veins (diameter <110 μm) (B = 2.0; β = 0.3; P = 0.016). Correspondingly, the blood velocity of medium retinal veins in the myopic group was significantly higher than that in the non-myopic group (t = 2.25; P = 0.03).

conclusionsSingle-cell retinal blood velocity was significantly increased with longer axial length. These findings suggest that the hemodynamic changes observed in axial myopia, including higher arterial and venous blood velocities, may provide a potential explanation for the lower prevalence of diabetic retinopathy, age-related macular degeneration, and branch retinal vein occlusion reported in previous epidemiological studies.

Indexed as

Axial Length, EyeMyopiaOphthalmoscopyRetinal ArteryRetinal VesselsAdultBlood Flow VelocityFemaleHumansMaleMiddle AgedYoung Adult

Identifiers

PMID41402599
PMCPMC12830892

What OpenQuestion holds

Textmetadata
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.