Evidence map›Paper›PMID 39717762›Full record

ArticleOphthalmology science

Retinal Vascular Permeability in Diabetic Subjects without Retinopathy Compared with Mild Diabetic Retinopathy and Healthy Controls.

Sarah R Vavrek, Elif Kayaalp Nalbant, Nicholas Konopek, Nicole L Decker, Amani A Fawzi, William F Mieler, Kenneth M Tichauer, Jennifer J Kang-Mieler

Abstract read
In one paragraph

Article in Ophthalmology science. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Review
  2. Article
  3. 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

8 authors.

Sarah R VavrekDepartment of Biomedical Engineering, Illinois Institute of Technology, Chicago, Illinois.
Elif Kayaalp NalbantDepartment of Biomedical Engineering, Illinois Institute of Technology, Chicago, Illinois.
Nicholas KonopekDepartment of Ophthalmology, Feinberg School of Medicine, Northwestern University, Chicago, Illinois.
Nicole L DeckerDepartment of Ophthalmology, Feinberg School of Medicine, Northwestern University, Chicago, Illinois.
Amani A FawziDepartment of Ophthalmology, Feinberg School of Medicine, Northwestern University, Chicago, Illinois.
William F MielerDepartment of Ophthalmology and Visual Sciences, Illinois Eye and Ear Infirmary, University of Illinois at Chicago, Chicago.
Kenneth M TichauerDepartment of Biomedical Engineering, Illinois Institute of Technology, Chicago, Illinois.
Jennifer J Kang-MielerDepartment of Biomedical Engineering, Stevens Institute of Technology, Hoboken, New Jersey.

Funding

Translation & trials: advancing medical countermeasure developmentU54AR079795 · NIAMS · NORTHWESTERN UNIVERSITY AT CHICAGO · PI LU, KURT · 2021 to 2024
$10.9M
Dynamic Tracer Kinetic Model to Detect Preclinical Diabetic Retinopathy (DR)R01EY032222 · NEI · THE TRUSTEES OF THE STEVENS INSTITUTE OF TECHNOLOGY · PI KANG-MIELER, JENNIFER J · 2021 to 2025
$2.4M
NEI NIH HHS R01 EY032222NIAMS NIH HHS U54 AR079795
6 · The paper itself

Abstract

Objective: To investigate retinal vascular permeability mapping as a potential biomarker for diabetic retinopathy in subjects with diabetes with no signs of retinopathy and with mild nonproliferative retinopathy. Design: This is a case-control study. Subjects: Participants included 7 healthy controls, 22 subjects with diabetes mellitus and no clinical signs of retinopathy (DMnoDR), and 7 subjects with mild nonproliferative diabetic retinopathy (NPDR). Methods: All participants underwent routine retinal fluorescein videoangiography (FVA). Each FVA dataset was analyzed with the dynamic tracer kinetic model (DTKM) method to estimate 5 parameters: extraction fraction ( Main Outcome Measures: Extraction fraction, i.e., the fluorescein dye leakage measured during 1 pass through surrounding retinal tissue, is extracted via DTKM method and directly relates to retinal vascular permeability. Thus, Results: The 3 diagnostic groups were found to have significantly different permeability ( Conclusions: The vascular permeability extracted from FVA datasets using the DTKM method is a promising biomarker for detecting preclinical retinal pathology in patients with diabetes. Longitudinal studies are ongoing to explore the ability of this biomarker to distinguish those subjects with diabetes who will progress to clinically apparent retinopathy from those who will not. Financial Disclosures: Proprietary or commercial disclosure may be found in the Footnotes and Disclosures at the end of this article.

Indexed as

BiomarkerDiabetic retinopathyFluorescein videoangiographyRetinal vascular permeability

Identifiers

PMID39717762
PMCPMC11664132

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.