Evidence map›Paper›PMID 40637508›Full record

ArticleInvestigative ophthalmology & visual science2025

Superficial Retinal Intercapillary Oxygen Diffusion and Perfusion Deficit Alterations in Patients With Coronary Artery Disease.

Natasa Jeremic, Meltem Esengönül, Azin Zarghami, Maximilian Pawloff, Matthias Hasun, Markus Schreiner, Reinhard Windhager, Alexander Niessner, Andreas Pollreisz, Hrvoje Bogunovic and 1 more

Abstract read
In one paragraph

Article in Investigative ophthalmology & visual science, 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

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

11 authors.

Natasa JeremicLaboratory for Ophthalmic Image Analysis (OPTIMA), Department of Ophthalmology and Optometry, Medical University of Vienna, Vienna, Austria.
Meltem EsengönülLaboratory for Ophthalmic Image Analysis (OPTIMA), Department of Ophthalmology and Optometry, Medical University of Vienna, Vienna, Austria.
Azin ZarghamiDepartment of Ophthalmology and Optometry, Medical University of Vienna, Vienna, Austria.
Maximilian PawloffLaboratory for Ophthalmic Image Analysis (OPTIMA), Department of Ophthalmology and Optometry, Medical University of Vienna, Vienna, Austria.
Matthias HasunDepartment of Internal Medicine II, Division of Cardiology, Clinic Landstraße, Vienna, Austria.
Markus SchreinerDepartment of Orthopedics and Trauma-Surgery, Medical University of Vienna, Vienna, Austria.
Reinhard WindhagerDepartment of Orthopedics and Trauma-Surgery, Medical University of Vienna, Vienna, Austria.
Alexander NiessnerDepartment of Internal Medicine II, Division of Cardiology, Clinic Landstraße, Vienna, Austria.
Andreas PollreiszDepartment of Ophthalmology and Optometry, Medical University of Vienna, Vienna, Austria.
Hrvoje BogunovicLaboratory for Ophthalmic Image Analysis (OPTIMA), Department of Ophthalmology and Optometry, Medical University of Vienna, Vienna, Austria.
Ursula Schmidt-ErfurthLaboratory for Ophthalmic Image Analysis (OPTIMA), Department of Ophthalmology and Optometry, Medical University of Vienna, Vienna, Austria.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Purpose: Retinal imaging may offer a non-invasive method to detect coronary artery disease (CAD). Geometric perfusion deficits (GPDs), defined as intercapillary areas beyond 30 µm from the nearest vessel, were analyzed for their CAD association and topographical patterns. Methods: Patients undergoing coronary angiography and healthy controls (mean ages: non-CAD, 58 ± 9 years; CAD, 61 ± 9 years) were assessed. Fovea-centered 6 × 6-mm optical coherence tomography angiography (OCTA) images were acquired, and the superficial capillary plexus was analyzed. GPD density, count, ischemic extent (IE), and top 10 GPD areas (MT10) were extracted. The Gensini score (GS) quantified CAD severity. Multivariate mixed-effects models were calculated for statistical analysis. Results: This study analyzed 237 patients (382 eyes), 141 (225 eyes) with CAD. Significant associations with the GS were found across all metrics after adjustments (density coefficient = 0.050, P = 0.001; IE coefficient = 0.002, P = 0.005; MT10 coefficient = 0.066, P = 0.005; count coefficient = 0.015, P = 0.003). The most profound changes were observed in the parafovea. Significant group differences were found between the non-CAD and moderate CAD groups, as well as between the non-CAD and severe CAD groups in the total image and the parafovea, temporal, and nasal outer segments. Moderate and severe CAD did not display significant differences. GPD metrics showed higher predictive abilities than conventional OCTA metrics. Conclusions: Four GPD metrics were significantly associated with CAD, with the parafoveal area showing the highest significance and consistency. GPDs differed significantly between CAD and non-CAD patients.

Indexed as

Coronary Artery DiseaseOxygenRetinal VesselsAgedCoronary AngiographyFemaleFluorescein AngiographyFundus OculiHumansMaleMiddle AgedTomography, Optical CoherenceOxygen

Identifiers

PMID40637508
PMCPMC12255177

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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.