Evidence map›Paper›PMID 42380715›Full record

ArticleOphthalmology and therapy2026

Retinal Vascular Features and Risk of Colorectal Cancer Incidence and Mortality: A Population-Based Cohort Study.

Wenli Zhang, Lei Liu, Min-Er Zhong, Cong Li, Yun Ren, Zhenchao Du, Yan Wang, Jingyan Peng, Ying Yao, Xue He and 7 more

Abstract read
In one paragraph

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

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

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

17 authors.

Wenli Zhang *Department of Ophthalmology, Guangdong Eye Institute, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, China.
Lei Liu *Department of Ophthalmology, Guangdong Eye Institute, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, China.
Min-Er ZhongDepartment of Gastrointestinal Surgery, Department of General Surgery, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, China.
Cong LiDepartment of Ophthalmology, Guangdong Eye Institute, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, China.
Yun RenDepartment of Ophthalmology, Guangdong Eye Institute, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, China.
Zhenchao DuDepartment of Ophthalmology, Guangdong Eye Institute, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, China.
Yan WangDepartment of Ophthalmology, Guangdong Eye Institute, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, China.
Jingyan PengDepartment of Ophthalmology, Guangdong Eye Institute, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, China.
Ying YaoDepartment of Ophthalmology, Guangdong Eye Institute, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, China.
Xue HeDepartment of Ophthalmology, Guangdong Eye Institute, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, China.
Heng LiDepartment of Ophthalmology, Guangdong Eye Institute, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, China.
Zhishen PengDepartment of Ophthalmology, Guangdong Eye Institute, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, China.
Tengda HuangDepartment of Ophthalmology, Guangdong Eye Institute, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, China.
Yong LiDepartment of Gastrointestinal Surgery, Department of General Surgery, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, China.
Honghua YuJoint Shantou International Eye Center, Shantou University and the Chinese University of Hong Kong, Shantou, China. yuhonghua@stu.edu.cn.
Danli ShiSchool of Optometry, The Hong Kong Polytechnic University, Kowloon, Hong Kong, China. danli.shi@polyu.edu.hk.
Xiaohong YangDepartment of Ophthalmology, Guangdong Eye Institute, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, China. syyangxh@scut.edu.cn.ORCID http://orcid.org/0000-0001-9466-7591

Funding

National Natural Science Foundation of China 82271125
6 · The paper itself

Abstract

introductionColorectal cancer (CRC) screening remains limited by invasiveness and suboptimal sensitivity of current methods. Retinal microvasculature, a noninvasive window into systemic vascular health, may reflect CRC-associated angiogenesis and inflammation. We investigated whether artificial intelligence (AI)-derived retinal vascular features (RVFs) are associated with CRC risk and prognosis.

methodsThis analysis included UK Biobank participants with baseline fundus imaging. Multidimensional RVFs, including tortuosity, branching angle, caliber, density, and complexity, were quantified using the Retina-based Microvascular Health Assessment System (RMHAS). Associations of RVFs with incident CRC and mortality among patients with CRC were evaluated using univariable and multivariable Cox regression models.

resultsAmong 55,798 participants (mean age 55.47 ± 8.09 years; 55.07% female), over a median follow-up of 11.32 years, 652 incident CRC cases (including 488 colon cancers and 260 rectal cancers) and 171 post-CRC deaths were documented. After full adjustment, four RVFs showed significant associations with CRC risk: increased arterial tortuosity (hazard ratio [HR] 1.03, 95% confidence interval [CI] 1.01-1.06), wider venular minimum branching angle (HR 1.09, 95% CI 1.02-1.17), smaller arterial maximum branching coefficient (HR 0.90, 95% CI 0.82-0.99), and reduced venular angular asymmetry (HR 0.89, 95% CI 0.82-0.96). For mortality, higher venular tortuosity (HR 1.14, 95% CI 1.00-1.31) and increased arterial maximum length diameter ratio (HR 1.16, 95% CI 1.01-1.32) were associated with elevated risk, whereas venular caliber (HR 0.81, 95% CI 0.67-0.98) and venular length diameter ratio (HR 0.82-0.84) were inversely associated with mortality. Distinct RVF patterns were observed between colon and rectal cancers.

conclusionSpecific AI-derived RVFs were independently associated with CRC risk, its subtypes, and mortality. These findings suggest that retinal microvascular changes may reflect systemic processes related to carcinogenesis and point to the potential of retinal imaging as a noninvasive tool for CRC risk stratification.

Indexed as

Cohort studyColorectal cancerMortalityRetinal vascular features

Identifiers

PMID42380715
PMCPMC13424006

What Socratic holds

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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 Socratic graph.