Evidence map›Paper›PMID 42813935›Full record

ArticleTranslational vision science & technology2026

Retinal Vascularity Index in Mild Cognitive Impairment.

Rachel D'Cunha, John Hsu, Jenny Melcher, Michael Zhu, Alex Choi, Alice Haystead, Arnav Sharma, Atharva Hudlikar, Rachel Song, Hans Ng and 5 more

Abstract read
In one paragraph

Article in Translational vision science & technology, 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

15 authors.

Rachel D'CunhaiMIND Study Group, Department of Ophthalmology, Duke University School of Medicine, Durham, NC, USA.
John HsuiMIND Study Group, Department of Ophthalmology, Duke University School of Medicine, Durham, NC, USA.
Jenny MelcherDepartment of Neurology, Duke University School of Medicine, Durham, NC, USA.
Michael ZhuiMIND Study Group, Department of Ophthalmology, Duke University School of Medicine, Durham, NC, USA.
Alex ChoiiMIND Study Group, Department of Ophthalmology, Duke University School of Medicine, Durham, NC, USA.
Alice HaysteadiMIND Study Group, Department of Ophthalmology, Duke University School of Medicine, Durham, NC, USA.
Arnav SharmaDuke University School of Medicine, Durham, NC, USA.
Atharva HudlikarNational Healthcare Group Eye Institute, Tan Tock Seng Hospital, Singapore, Singapore.
Rachel SongNational Healthcare Group Eye Institute, Tan Tock Seng Hospital, Singapore, Singapore.
Hans NgNational Healthcare Group Eye Institute, Tan Tock Seng Hospital, Singapore, Singapore.
Sandra StinnettiMIND Study Group, Department of Ophthalmology, Duke University School of Medicine, Durham, NC, USA.
Rupesh AgrawalNational Healthcare Group Eye Institute, Tan Tock Seng Hospital, Singapore, Singapore.
Kim G JohnsonDepartment of Neurology, Duke University School of Medicine, Durham, NC, USA.
Dilraj S GrewaliMIND Study Group, Department of Ophthalmology, Duke University School of Medicine, Durham, NC, USA.
Sharon FekratiMIND Study Group, Department of Ophthalmology, Duke University School of Medicine, Durham, NC, USA.

Funding

Research Education Component CoreP30AG072958 · NIA · DUKE UNIVERSITY · PI Heather E. Whitson · 2021 to 2026
$24.1M
NIA NIH HHS P30 AG072958
6 · The paper itself

Abstract

Purpose: The purpose of this study was to determine whether retinal vascularity index (RVI) differs between individuals with mild cognitive impairment (MCI) and normal cognition, and to assess RVI as a novel ultra-widefield (UWF) implementation of retinal arteriovenous assessment. Methods: In a cross-sectional case-control study, UWF fundus color images from patients with MCI and cognitively healthy controls were analyzed using a semi-automated platform via the Comprehensive Ocular Imaging Network (COIN; ocularimaging.net). RVI was calculated as the ratio of arterial-to-venous cross-sectional area within a 47-degree region of interest (ROI) centered on the optic disc, with quadrant-based segmentation producing regional RVI values for 4 quadrants within the 47-degree ROI. Generalized estimating equations (GEEs) accounted for inter-eye correlation. Results: Fifty-five eyes of 38 patients with MCI and 89 eyes of 55 cognitively healthy patients were included. Mean RVI across the 47-degree ROI was reduced in MCI versus control eyes (0.524 vs. 0.730, P < 0.001) after adjusting for treated hypertension. Reduced RVI was also observed in each of the four quadrants in MCI compared with controls (P < 0.001). RVI showed good discriminative ability (area under the curve [AUC] = 0.86, sensitivity = 80%, and specificity = 79%) with good inter-grader reliability (intraclass correlation coefficient [ICC] = 0.840, 95% confidence interval [CI] = 0.686-0.943). Conclusions: Mean RVI across the 47-degree ROI was significantly lower in individuals with MCI compared with cognitively healthy controls. Translational Relevance: RVI, derived from UWF imaging, may reflect retinal microvascular cross-sectional area differences associated with MCI. As an exploratory metric, further validation is needed before RVI can be used as a noninvasive tool to complement diagnostic approaches for MCI.

Indexed as

Cognitive DysfunctionRetinal VesselsAgedCase-Control StudiesCross-Sectional StudiesFemaleHumansMaleMiddle AgedROC Curve

Identifiers

PMID42813935
PMCPMC13641214

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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.