Evidence map›Paper›PMID 31173077›Full record

ArticleInvestigative ophthalmology & visual science2019

Impaired Retinal Vascular Reactivity in Diabetic Retinopathy as Assessed by Optical Coherence Tomography Angiography.

Bright S Ashimatey, Kyle M Green, Zhongdi Chu, Ruikang K Wang, Amir H Kashani

Abstract read
In one paragraph

Article in Investigative ophthalmology & visual science, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers.

0numbers the graph read from it
0cells of the map it votes in
24citing 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

24 citing papers in PubMed.

  1. Trial
  2. Article
  3. Article
  4. Review
  5. Article
  6. Article
  7. Retinal microvasculature and vasoreactivity changes in hypertension using optical coherence tomography-angiography.Graefe's archive for clinical and experimental ophthalmology = Albrecht von Graefes Archiv fur klinische und experimentelle Ophthalmologie · 2022
    Observational
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Review
  15. Article
  16. Article
  17. Retinal imaging demonstrates reduced capillary density in clinically unimpairedAlzheimer's & dementia (Amsterdam, Netherlands) · 2021
    Article
  18. Article
  19. 3D Retinal Vessel Density Mapping With OCT-Angiography.IEEE journal of biomedical and health informatics · 2020
    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

5 authors.

Bright S AshimateyDepartment of Ophthalmology, USC Roski Eye Institute, Keck School of Medicine of the University of Southern California, Los Angeles, California, United States.
Kyle M GreenDepartment of Ophthalmology, USC Roski Eye Institute, Keck School of Medicine of the University of Southern California, Los Angeles, California, United States.
Zhongdi ChuDepartment of Bioengineering, University of Washington, Seattle, Washington, United States.
Ruikang K WangDepartment of Bioengineering, University of Washington, Seattle, Washington, United States.
Amir H KashaniDepartment of Ophthalmology, USC Roski Eye Institute, Keck School of Medicine of the University of Southern California, Los Angeles, California, United States.

Funding

Imaging Cerebral and Retinal Microvasculature in Cerebral Small Vessel DiseaseUH3NS100614 · NINDS · UNIVERSITY OF SOUTHERN CALIFORNIA · PI KASHANI, AMIR H, RINGMAN, JOHN M · 2018 to 2020
$4.3M
Assessment of Retinal Capillary Density, Morphology and Function in Retinal Vascular Disease Using Novel OCT Angiography Based MetricsR01EY030564 · NEI · UNIVERSITY OF SOUTHERN CALIFORNIA · PI KASHANI, AMIR H · 2019 to 2024
$3.5M
Functional Imaging in Hypoxic-Ischemic Retinal DiseaseK08EY027006 · NEI · UNIVERSITY OF SOUTHERN CALIFORNIA · PI KASHANI, AMIR H · 2016 to 2020
$978k
NEI NIH HHS K08 EY027006NEI NIH HHS R01 EY030564NINDS NIH HHS UH3 NS100614
6 · The paper itself

Abstract

Purpose: To assess retinal vascular reactivity in healthy controls and subjects with diabetic retinopathy (DR). Methods: A total of 22 healthy control eyes and 16 eyes with DR were enrolled. Images were acquired using a commercially available swept-source optical coherence tomography angiography (SS-OCTA) system. Three conditions were tested for each patient (hyperoxia, hypercapnia, and room-air) by employing a non-rebreathing apparatus that delivered appropriate gas mixtures (100% O2, 5% CO2, room air). Vessel skeleton density (VSD) and vessel diameter index (VDI) were compared between the conditions using mixed-model ANOVA adjusting for age and hypertension. Significant gas or interaction effects were followed by a Bonferroni adjusted pairwise post hoc analysis. Statistical significance was defined at P < 0.05. Results: The mixed-model ANOVA of the VSD found a significant intraindividual gas effect (F[2, 70] = 20.3, P < 0.001) and intergroup effect (F[1, 35] = 6.9, P = 0.001), and interaction effects (F[2, 70] = 4.6, P = 0.03). The post hoc pairwise comparison found significant differences among all three gas conditions in the healthy controls. In the subjects with DR, there were significant differences in VSD between hyperoxic and room air, and between hyperoxic and hypercapnic conditions, but not between hypercapnic and room-air conditions. Similar results were found for VDI. Conclusions: The retinal capillaries, assessed with SS-OCTA, in subjects with DR preferentially reacted to hyperoxia but not hypercapnia, while the healthy controls reacted to both. The difference in the vascular reactivity may be indicative of the underlying pathophysiology of DR.

Indexed as

AdultAgedCapillariesCross-Sectional StudiesDiabetic RetinopathyFemaleFluorescein AngiographyHealthy VolunteersHumansHypercapniaHyperoxiaMaleMiddle AgedProspective StudiesRetinal VesselsTomography, Optical Coherence

Identifiers

PMID31173077
PMCPMC6557617

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.