Evidence map›Paper›PMID 39968424›Full record

ArticleCureus2025

Modular Architecture of Retinal Layers in Diabetic Patients Without Retinopathy.

Pratyusha Ganne, Ganne Chaitanya, Suresh Vaikkakara, Arti Gupta, Rakesh U K

Abstract read
In one paragraph

Article in Cureus, 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

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2 · The registry

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3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Article
4 · The record

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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.

Pratyusha GanneOphthalmology, All India Institute of Medical Sciences, Mangalagiri, Guntur, IND.
Ganne ChaitanyaNeurology, Texas Institute of Restorative Neurotechnologies, University of Texas Health Science Center, Houston, USA.
Suresh VaikkakaraEndocrinology and Diabetes, All India Institute of Medical Sciences, Mangalagiri, Guntur, IND.
Arti GuptaCommunity and Family Medicine, All India Institute of Medical Sciences, Mangalagiri, Guntur, IND.
Rakesh U KGeneral Medicine, All India Institute of Medical Sciences, Mangalagiri, Guntur, IND.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Purpose Diagnosing diabetic retinopathy (DR) in the pre-clinical stage is crucial to reversing DR. This study aimed to compare the retinal thickness changes between healthy controls (HCs) and diabetics without retinopathy (DWORs). For the first time, we would like to introduce the concept of network modularity analysis in studying retinal networks to demonstrate disrupted retinal layer organization as evidence of subclinical retinopathy. Methods This was a cross-sectional study on 156 eyes of HCs and 78 eyes of DWORs. Retinal layer thickness was measured on Spectralis OCT (Heidelberg Engineering, Heidelberg, Germany). Average thickness values from the outer ring of the ETDRS grid (Avg_O) and the inner ring (Avg_I) were calculated for each layer. Mean retinal thicknesses for each layer between the two groups were compared using the t-test. Age-related thickness changes were compared between the groups using Fisher's r-to-z transform. Group-based structural covariance networks were estimated for both DWORs and HCs. Optimal community architecture was estimated using Louvain's modularity. Results Inner retinal layers, namely RNFL_C (HC: 10.16 ± 2.48 µm versus DWOR: 10.85 ± 2.23 µm; p=0.023) and INL_Avg_I (HC: 39.9 ± 3.7 µm versus DWOR: 40.9 ± 3.16 µm; p=0.035), were thicker in the DWOR group compared to the HC group. Outer retinal layers, namely OR_C (HC: 89.9 ± 3.8 µm versus DWOR: 88.7 ± 3.6 µm; p=0.017) and OR_Avg_I (HC: 81.4 ± 3.16 µm versus DWOR: 80.5 ± 2.28 µm; p=0.02), were thinner in the DWOR group compared to the HC group. The central sub-field showed an age-related thickening in retinal nerve fiber layer (RNFL) (r=0.117, p=0.04), GCL (r=0.078, p=0.17), inner plexiform layer (r=0.137, p=0.01), inner nuclear layer (INL) (r=0.29, p≤0.001), outer plexiform layer (r=0.256, p<0.001), and outer nuclear layer (r=0.197, p=0.001) layers in the HC group, which was not seen in the DWOR group. There was an abnormal increase in modularity among DWORs compared to HCs (Qhc=0.47, Qdowr=0.51, p=1.6x10

Indexed as

diabetic retinopathymodularityoct (optical coherence tomography)pre-clinicalretinal layer thickness

Identifiers

PMID39968424
PMCPMC11834328

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