Evidence map›Paper›PMID 34865186›Full record

ArticleOphthalmology and therapy2022

Characterization of One-Year Progression of Risk Phenotypes of Diabetic Retinopathy.

Luísa Ribeiro, Inês P Marques, Rita Coimbra, Torcato Santos, Maria H Madeira, Ana Rita Santos, Patrícia Barreto, Conceição Lobo, José Cunha-Vaz

Registry-linked trialAbstract read
In one paragraph

Article in Ophthalmology and therapy, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT03696810 (Characterization of Retinal Vascular Disease in Eyes With Mild to Moderate NPDR in Diabetes Type 2, Using Novel Non-invasive Imaging Methods, in a Longitudinal, Prospective and Interventional Clinical Study With 2 Years of Duration), which is not on this 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.

NCT03696810 nacompletednot on this map

Characterization of Retinal Vascular Disease in Eyes With Mild to Moderate NPDR in Diabetes Type 2, Using Novel Non-invasive Imaging Methods, in a Longitudinal, Prospective and Interventional Clinical Study With 2 Years of Duration (CORDIS)

TypeinterventionalSponsorAssociation for Innovation and Biomedical Research on Light and ImageRan2018 to 2022Enrolled141ConditionsNPDR - Non Proliferative Diabetic RetinopathyArmsLaboratory tests
3 · Its place in the literature

Who cites it

3 citing papers in PubMed.

  1. Review
  2. Review
  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

9 authors.

Luísa RibeiroAIBILI-Association for Innovation and Biomedical Research on Light and Image, Coimbra, Portugal. mlribeiro@aibili.pt.
Inês P MarquesAIBILI-Association for Innovation and Biomedical Research on Light and Image, Coimbra, Portugal.
Rita CoimbraAIBILI-Association for Innovation and Biomedical Research on Light and Image, Coimbra, Portugal.
Torcato SantosAIBILI-Association for Innovation and Biomedical Research on Light and Image, Coimbra, Portugal.
Maria H MadeiraAIBILI-Association for Innovation and Biomedical Research on Light and Image, Coimbra, Portugal.
Ana Rita SantosAIBILI-Association for Innovation and Biomedical Research on Light and Image, Coimbra, Portugal.
Patrícia BarretoAIBILI-Association for Innovation and Biomedical Research on Light and Image, Coimbra, Portugal.
Conceição LoboAIBILI-Association for Innovation and Biomedical Research on Light and Image, Coimbra, Portugal.
José Cunha-VazAIBILI-Association for Innovation and Biomedical Research on Light and Image, Coimbra, Portugal. cunhavaz@aibili.pt.

Funding

Fundação para a Ciência e a Tecnologia 02/SAICT/2017 - 032412Fundo de inovação, tecnologia e economia circular - FITEC Programa Interface (FITEC/CIT/2018/2)
6 · The paper itself

Abstract

introductionWe characterized the progression of different diabetic retinopathy (DR) phenotypes in type 2 diabetes (T2D).

methodsA prospective longitudinal cohort study (CORDIS, NCT03696810) was conducted with three visits (baseline, 6 months, and 1 year). Demographic and systemic data included age, sex, diabetes duration, lipid profile, and hemoglobin A1c (HbA1c). Ophthalmological examinations included best-corrected visual acuity (BCVA), color fundus photography (CFP), and optical coherence tomography (OCT and OCTA). Phenotype classification was performed at the 6-month visit based on microaneurysm turnover (MAT, on CFP) and central retinal thickness (CRT, on OCT). Only risk phenotypes B (MAT < 6 and increased CRT) and C (MAT ≥ 6 with or without increased CRT) were included. ETDRS grading was performed at the baseline visit based on seven-field CFP.

resultsA total of 133 T2D individuals were included in the study; 81 (60%) eyes were classified as phenotype B and 52 (40%) eyes as phenotype C. Of these, 128 completed the 1-year follow-up. At baseline, eyes with phenotype C showed greater capillary closure (superior capillary plexus, deep capillary plexus, and full retina, p < 0.001) and increased foveal avascular zone (FAZ) area (p < 0.001), indicating more advanced microvascular disease. Neurodegeneration represented by thinning of the ganglion cell layer + inner plexiform layer (GCL + IPL) was present in both phenotypes. When analyzing the 1-year progression of each phenotype, only phenotype C revealed a significant decrease in BCVA (p = 0.02) and enlargement of the FAZ (p = 0.03). A significant progressive decrease in the vessel density of the deep capillary layer and in MAT occurred in both phenotypes, but these changes were particularly relevant in phenotype C and ETDRS grades 43-47. During the 1-year period, both phenotypes B and C showed progression in GCL + IPL thinning (p < 0.001).

conclusionsIn the 1-year period of follow-up, both phenotypes B and C showed progression in retinal neurodegeneration, whereas phenotype C showed more marked disease progression at the microvascular level.

Indexed as

Capillary closureDiabetesNeurodegenerationRetinopathy

Identifiers

PMID34865186
PMCPMC8770718

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Registered trials

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.