Evidence map›Paper›PMID 34787666›Full record

ArticleTranslational vision science & technology2021

Identification of Subclinical Microvascular Biomarkers in Coronary Heart Disease in Retinal Imaging.

Julia Aschauer, Stefan Aschauer, Andreas Pollreisz, Felix Datlinger, Constantin Gatterer, Georgios Mylonas, Berit Egner, Dominik Hofer, Irene Steiner, Christian Hengstenberg and 1 more

Open access · goldAbstract read
In one paragraph

Article in Translational vision science & technology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers.

0numbers the graph read from it
0cells of the map it votes in
21citing papers in PubMed
1.9field-weighted citation impact, top 14% of its field
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

21 citing papers in PubMed, 27 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Review
  5. Article
  6. Article
  7. Review
  8. Article
  9. Review
  10. Review
  11. Article
  12. Article
  13. Article
  14. Review
  15. Review
  16. Review
  17. Review
  18. Article
  19. Retinal Arteriolar Wall Remodeling in Diabetes Captured With AOSLO.Translational vision science & technology · 2023
    Article
  20. 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 at 1 institution in 1 country.

Julia AschauerDepartment of Ophthalmology and Optometry, Medical University of Vienna, Vienna, Austria.
Stefan AschauerDivision of Cardiology, Department of Internal Medicine II, Medical University of Vienna, Vienna, Austria.
Andreas PollreiszDepartment of Ophthalmology and Optometry, Medical University of Vienna, Vienna, Austria.
Felix DatlingerDepartment of Ophthalmology and Optometry, Medical University of Vienna, Vienna, Austria.
Constantin GattererDivision of Cardiology, Department of Internal Medicine II, Medical University of Vienna, Vienna, Austria.
Georgios MylonasDepartment of Ophthalmology and Optometry, Medical University of Vienna, Vienna, Austria.
Berit EgnerDepartment of Ophthalmology and Optometry, Medical University of Vienna, Vienna, Austria.
Dominik HoferDepartment of Ophthalmology and Optometry, Medical University of Vienna, Vienna, Austria.
Irene SteinerCeMSIIS, Institute for Medical Statistics, Medical University of Vienna, Vienna, Austria.
Christian HengstenbergDivision of Cardiology, Department of Internal Medicine II, Medical University of Vienna, Vienna, Austria.
Ursula Schmidt-ErfurthDepartment of Ophthalmology and Optometry, Medical University of Vienna, Vienna, Austria.
Medical University of Vienna · AT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Purpose: Cardiovascular disease and foremost coronary heart disease (CHD) are the worldwide leading causes of death. The aim of this study was to use non-invasive, multimodel retinal imaging to define microvascular features in patients with and without coronary angiography (CA)-confirmed CHD. Methods: In this prospective, cross-sectional pilot study we included adult patients who presented to a tertiary referral center for elective CA due to suspected CHD. All patients underwent widefield fundus photography for retinopathy grading. Optical coherence tomography angiography was used to measure vessel density (VD) of the individual capillary plexuses in 6 × 6-mm macular volume scans. Adaptive optics imaging was performed to assess the first-order arteriolar lumen diameter (LD), total diameter (TD), wall-to-lumen ratio (WLR), and wall cross-section area, as well as to qualitatively describe vessel morphology. Results: Of the included 45 patients (13 females; 65 ± 10 years old), 27 were confirmed with CHD in elective CA. The most prevalent retinal vascular pathologies were arteriovenous nickings, focal arterial narrowings, and microaneurysms. VD in the superficial capillary plexus, deep capillary plexus, and choriocapillaris was lower in CHD patients, although the odds ratios were not significantly different from 1 (P = 0.06-0.92). Median arterial LD, TD, and WLR values were 98.3 µm (interquartile range [IQR] = 13.0), 122.9 µm (IQR = 17.6), and 0.26 µm (IQR = 0.07), respectively, with a trend toward a higher WLR in CHD patients. Conclusions: In a cardiovascular risk population, high-resolution quantitative and qualitative microvascular phenotyping in the retina may provide valuable subclinical indicators for coronary artery impairment, although larger clinical trials are needed. Translational Relevance: Subclinical retinal microvascular changes may serve as non-invasive, cost-effective biomarkers for risk stratification of patients with CHD.

Indexed as

Coronary DiseaseRetinal VesselsAdultAgedBiomarkersCross-Sectional StudiesFemaleFluorescein AngiographyHumansMiddle AgedPilot ProjectsProspective StudiesRetinaBiomarkers

Identifiers

PMID34787666
PMCPMC8606892
OpenAlexW3211920715

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

Registered trials

None linked

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.