Evidence map›Paper›PMID 42361046›Full record

ArticlePloS one2026

Association between optical coherence tomography-quantified retinal features and cardiovascular risk in cardiovascular-kidney-metabolic syndrome stages 0-3: An analysis of a prospective UK biobank cohort.

Chenhao Li, Sixiang Jia, Yang Yang, Qingru Zhu, Shudong Xia

Abstract read
In one paragraph

Article in PloS one, 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

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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

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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

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

5 authors.

Chenhao LiDepartment of Cardiology, the Fourth Affiliated Hospital of School of Medicine, and International School of Medicine, Zhejiang University, Yiwu, China.ORCID https://orcid.org/0009-0006-4387-0868
Sixiang JiaDepartment of Cardiology, the Fourth Affiliated Hospital of School of Medicine, and International School of Medicine, Zhejiang University, Yiwu, China.
Yang YangDepartment of Cardiology, the Fourth Affiliated Hospital of School of Medicine, and International School of Medicine, Zhejiang University, Yiwu, China.
Qingru ZhuDepartment of Cardiology, the Fourth Affiliated Hospital of School of Medicine, and International School of Medicine, Zhejiang University, Yiwu, China.
Shudong XiaDepartment of Cardiology, the Fourth Affiliated Hospital of School of Medicine, and International School of Medicine, Zhejiang University, Yiwu, China.ORCID https://orcid.org/0000-0001-6228-5783

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundCardiovascular-kidney-metabolic (CKM) syndrome is strongly associated with cardiovascular disease (CVD) and mortality. Stages 0-3 represent a key preclinical window for early intervention. Retinal optical coherence tomography (OCT) enables non-invasive evaluation of systemic microcirculation, but its prognostic value for CVD in CKM 0-3 remains undetermined.

methodsWe conducted a prospective study of 40,516 UK Biobank participants with CKM syndrome stages 0-3 who had retinal OCT. Cox regression, trend tests, and predictive metrics (NRI, IDI, AUC) were used to evaluate associations and incremental prognostic value of retinal structural markers.

resultsBaseline thinner retinal nerve fiber layer (RNFL) and macular thickness were independently associated with higher risks of incident CVD, coronary heart disease, all-cause mortality, and cardiovascular mortality over a subsequent median 14.6-year follow-up (all P < 0.001). Significant linear dose-response relationships were observed. Adding these markers to traditional risk models improved risk classification and discrimination (all P < 0.001).

conclusionThinner RNFL and macular thickness are independent predictors of adverse cardiovascular outcomes in CKM 0-3. Integrating these OCT-derived biomarkers improves risk stratification, supporting a non-invasive approach for early cardiovascular risk assessment in this high-risk population.

Indexed as

Cardiovascular DiseasesKidney DiseasesMetabolic SyndromeRetinaTomography, Optical CoherenceAgedBiological Specimen BanksFemaleHumansMaleMiddle AgedPrognosisProspective StudiesRisk FactorsUK BiobankUnited Kingdom

Identifiers

PMID42361046
PMCPMC13308834

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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.