Evidence map›Paper›PMID 41170370›Full record

ArticleFrontiers in cell and developmental biology2025

Quantitative evaluation of retinal vascular parameters among highland and lowland native children using artificial intelligence.

Xueqing Bai, Chengyue Zhang, Xingye Wang, Huizhen Tan, Yinuo Wang, Alimujiang Abula, Tianqi Lan, Yuxiang Liao, Xiaofang Ju, Xiaojie Quan and 3 more

Abstract read
In one paragraph

Article in Frontiers in cell and developmental biology, 2025. 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

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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

13 authors.

Xueqing BaiBeijing Children's Hospital Capital Medical University, Ophthalmology, Key Laboratory of Major Diseases in Children, Ministry of Education, Beijing, China.
Chengyue ZhangBeijing Children's Hospital Capital Medical University, Ophthalmology, Key Laboratory of Major Diseases in Children, Ministry of Education, Beijing, China.
Xingye WangEVision Technology (Beijing) Co. Ltd., Beijing, China.
Huizhen TanQinghai Provincial Women and Children's Hospital, Ophthalmology, Xining, Qinghai, China.
Yinuo WangImperial College London, Exhibition Rd, South Kensington, MSci Chemistry with Medicinal Chemistry, London, United Kingdom.
Alimujiang AbulaChildren's Hospital of Xinjiang Uygur Autonomous Region, Ophthalmology, Urumqi, Xinjiang, China.
Tianqi LanChildren's Hospital of Xinjiang Uygur Autonomous Region, Ophthalmology, Urumqi, Xinjiang, China.
Yuxiang LiaoChildren's Hospital of Xinjiang Uygur Autonomous Region, Ophthalmology, Urumqi, Xinjiang, China.
Xiaofang JuEVision Technology (Beijing) Co. Ltd., Beijing, China.
Xiaojie QuanBeijing Children's Hospital Capital Medical University, Ophthalmology, Key Laboratory of Major Diseases in Children, Ministry of Education, Beijing, China.
Xue HanEVision Technology (Beijing) Co. Ltd., Beijing, China.
Xue ZhangEVision Technology (Beijing) Co. Ltd., Beijing, China.
Li LiBeijing Children's Hospital Capital Medical University, Ophthalmology, Key Laboratory of Major Diseases in Children, Ministry of Education, Beijing, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: To investigate retinal vascular and optic nerve head (ONH) characteristics in highland- and lowland-dwelling native children using artificial intelligence-based automated quantification of retinal vascular morphology. Methods: This cross-sectional study analyzed 834 fundus images from 417 children (age 8-9 years), including 123 highland children (HLC) and 294 lowland children (LLC). Fundus photography was performed using a non-mydriatic 45° fundus camera. Automated image analysis quantified: (1) retinal vascular parameters (fractal dimension [VDf], caliber [VC], tortuosity [VT], density [VD], branching angle [VBA], and arteriole-to-venule ratio [AVR]); and (2) optic nerve head morphology (disc area, cup area, and cup-to-disc ratio [C/D]). Group comparisons of all parameters were conducted using AI-based analytical methods. Results: After adjusting for age, sex, and axial length (AXL), covariance analysis demonstrated that the HLC group showed significantly smaller VC (p = 0.005) and VBA (p = 0.003), along with larger optic cup and disc areas (p < 0.001) compared to the LLC group. Both peripapillary VD and VC exhibited a progressive decrease with increasing distance from the optic disc border. Moreover, the HLC group demonstrated a significantly lower VC compared to the LLC group (p = 0.005). Furthermore, the HLC group displayed: (1) significantly higher VD in the inferior quadrant (p < 0.001), (2) increased VT in both nasal and temporal quadrants (p < 0.001 for both), (3) decreased VC in superior (p < 0.001), inferior (p = 0.005), and nasal (p = 0.001) quadrants, and (4) reduced VDf in the nasal quadrant (p = 0.001) of peripapillary regions compared to the LLC group. Conclusion: Our findings demonstrate statistically significant differences in retinal vascular and optic nerve head morphology between HLC and LLC. Specifically, the HLC group exhibited significantly reduced VC but larger optic cup and disc areas compared to the LLC group.

Indexed as

AIchildrenhighlandoptic nerve headretinal vasculature

Identifiers

PMID41170370
PMCPMC12568572

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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.