Evidence map›Paper›PMID 39338230›Full record

ArticleJournal of personalized medicine2024

Characterization and Automatic Discrimination between Predominant Hypoperfusion and Hyperperfusion Stages of NPDR.

Luís Mendes, Luísa Ribeiro, Inês Marques, Conceição Lobo, José Cunha-Vaz

Abstract read
In one paragraph

Article in Journal of personalized medicine, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
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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

5 authors.

Luís MendesAIBILI-Association for Innovation and Biomedical Research on Light and Image, 3000-548 Coimbra, Portugal.
Luísa RibeiroAIBILI-Association for Innovation and Biomedical Research on Light and Image, 3000-548 Coimbra, Portugal.
Inês MarquesAIBILI-Association for Innovation and Biomedical Research on Light and Image, 3000-548 Coimbra, Portugal.
Conceição LoboAIBILI-Association for Innovation and Biomedical Research on Light and Image, 3000-548 Coimbra, Portugal.ORCID 0000-0001-5831-7711
José Cunha-VazAIBILI-Association for Innovation and Biomedical Research on Light and Image, 3000-548 Coimbra, Portugal.

Funding

National NextGeneration EU (PRR - Financiamento Base - Centros de Tecnologia e Inovação - Investimento RE-C05-i02 ). Missão Interface nº 03/C05-i02/2022
6 · The paper itself

Abstract

BACKGROUND/

objectivesDiabetic retinopathy (DR) is a common diabetes complication that can lead to blindness through vision-threatening complications like clinically significant macular edema and proliferative retinopathy. Identifying eyes at risk of progression using non-invasive methods could help develop targeted therapies to halt diabetic retinal disease progression.

methodsA set of 82 imaging and systemic features was used to characterize the progression of nonproliferative diabetic retinopathy (NPDR). These features include baseline measurements (static features) and those capturing the temporal dynamic behavior of these static features within one year (dynamic features). Interpretable models were trained to distinguish between eyes with Early Treatment Diabetic Retinopathy Study (ETDRS) level 35 and eyes with ETDRS levels 43-47. The data used in this research were collected from 109 diabetic type 2 patients (67.26 ± 2.70 years; diabetes duration 19.6 ± 7.26 years) and acquired over 2 years.

resultsThe characterization of the data indicates that NPDR progresses from an initial stage of hypoperfusion to a hyperperfusion response. The performance of the classification model using static features achieved an area under the curve (AUC) of the receiver operating characteristics equal to 0.84 ± 0.07, while the model using both static and dynamic features achieved an AUC of 0.91 ± 0.05.

conclusionNPDR progresses through an initial hypoperfusion stage followed by a hyperperfusion response. Characterizing and automatically identifying this disease progression stage is valuable and necessary. The results indicate that achieving this goal is feasible, paving the way for the improved evaluation of progression risk and the development of better-targeted therapies to prevent vision-threatening complications.

Indexed as

hemodynamichyperperfusionhypoperfusionnonproliferative diabetic retinopathystaging

Identifiers

PMID39338230
PMCPMC11433224

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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.