Evidence map›Paper›PMID 35372411›Full record

ArticleFrontiers in medicine2022

Cone Photoreceptors in Diabetic Patients.

Ann E Elsner, Brittany R Walker, Robert N Gilbert, Vamsi Parimi, Joel A Papay, Thomas J Gast, Stephen A Burns

Open access · goldAbstract read
In one paragraph

Article in Frontiers in medicine, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
2.2field-weighted citation impact, top 13% 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

10 citing papers in PubMed, 12 citations in OpenAlex.

  1. Article
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  4. How early can we detect diabetic retinopathy? A narrative review of imaging tools for structural assessment of the retina.Graefe's archive for clinical and experimental ophthalmology = Albrecht von Graefes Archiv fur klinische und experimentelle Ophthalmologie · 2025
    Review
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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

7 authors at 1 institution in 1 country.

Ann E ElsnerSchool of Optometry, Indiana University, Bloomington, IN, United States.
Brittany R WalkerSchool of Optometry, Indiana University, Bloomington, IN, United States.
Robert N GilbertSchool of Optometry, Indiana University, Bloomington, IN, United States.
Vamsi ParimiSchool of Optometry, Indiana University, Bloomington, IN, United States.
Joel A PapaySchool of Optometry, Indiana University, Bloomington, IN, United States.
Thomas J GastSchool of Optometry, Indiana University, Bloomington, IN, United States.
Stephen A BurnsSchool of Optometry, Indiana University, Bloomington, IN, United States.
Indiana University Bloomington · US

Funding

SPATIAL EXTENT OF RETINAL DAMAGER01EY007624 · NEI · TRUSTEES OF INDIANA UNIVERSITY · PI ELSNER, ANN E · 1995 to 2012
$4.4M
Adaptive Optics Imaging of Human Retinal Vascular Structure and FunctionR01EY024315 · NEI · TRUSTEES OF INDIANA UNIVERSITY · PI BURNS, STEPHEN A · 2015 to 2024
$4.3M
NEI NIH HHS R01 EY007624NEI NIH HHS R01 EY024315
6 · The paper itself

Abstract

Purpose: Cones in diabetic patients are at risk due to metabolic and vascular changes. By imaging retinal vessel modeling at high magnification, we reduced its impact on cone distribution measurements. The retinal vessel images and retinal thickness measurements provided information about cone microenvironment. Methods: We compared cone data in 10 diabetic subjects (28-78 yr) to our published norms from 36 younger and 10 older controls. All subjects were consented and tested in a manner approved by the Indiana University Institutional Review Board, which adhered to the Declaration of Helsinki. Custom adaptive optics scanning laser ophthalmoscopy (AOSLO) was used to image cones and retinal microcirculation. We counted cones in a montage of foveal and temporal retina, using four non-contiguous samples within 0.9-7 deg that were selected for best visibility of cones and least pathology. The data were fit with a two parameter exponential model: ln(cone density) = a Results: Diabetic cone maps were more variable than in controls and included patches, or unusually bright and dark cones, centrally and more peripherally. Model parameters and total cones within the central 14 deg of the macula differed across diabetic patients. Total cones fell into two groups: similar to normal for 5 vs. less than normal for 2 of 2 younger diabetic subjects and 3 older subjects, low but not outside the confidence limits. Diabetic subjects had all retinal vascular remodeling to varying degrees: microaneurysms; capillary thickening, thinning, or bends; and vessel elongation including capillary loops, tangles, and collaterals. Yet SD-OCT showed that no diabetic subject had a Total Retinal Thickness in any quadrant that fell outside the confidence limits for controls. Conclusions: AOSLO images pinpointed widespread retinal vascular remodeling in all diabetic eyes, but the SDOCT showed no increased retinal thickness. Cone reflectivity changes were found in all diabetic patients, but significantly low cone density in only some. These results are consistent with early changes to neural, glial, or vascular components of the retinal without significant retinal thickening due to exudation.

Indexed as

cone distributionconesdiabetic patientsfoveamacularisk to photoreceptorsvascular changes

Identifiers

PMID35372411
PMCPMC8968172
OpenAlexW4220806947

What OpenQuestion holds

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LicenceCC BY
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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.