Evidence map›Paper›PMID 39689076›Full record

ArticlePloS one2024

Standardized evaluation of diabetic retinopathy using artificial intelligence and its association with metabolic dysfunction-associated steatotic liver disease in Japan: A cross-sectional study.

Koji Komatsu, Kei Sano, Kota Fukai, Ryo Nakagawa, Takashi Nakagawa, Masayuki Tatemichi, Tadashi Nakano

Abstract read
In one paragraph

Article in PloS one, 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
  2. 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

7 authors.

Koji KomatsuDepartment of Ophthalmology, Jikei University School of Medicine, Tokyo, Japan.ORCID 0000-0002-0917-2760
Kei SanoDepartment of Ophthalmology, Jikei University School of Medicine, Tokyo, Japan.
Kota FukaiDepartment of Preventive Medicine, School of Medicine, Tokai University, Kanagawa, Japan.ORCID 0000-0002-8319-8467
Ryo NakagawaOmiya City Clinic, Saitama, Japan.
Takashi NakagawaOmiya City Clinic, Saitama, Japan.
Masayuki TatemichiDepartment of Preventive Medicine, School of Medicine, Tokai University, Kanagawa, Japan.
Tadashi NakanoDepartment of Ophthalmology, Jikei University School of Medicine, Tokyo, Japan.ORCID 0000-0002-3184-1991

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Metabolic dysfunction-associated steatotic liver disease (MASLD) is common in patients with obesity and diabetes and can lead to serious complications. This study aimed to evaluate fundus photographs using artificial intelligence to explore the relationships between diabetic retinopathy (DR), MASLD, and related factors. In this cross-sectional study, we included 1,736 patients with a history of diabetes treatment or glycated hemoglobin (HbA1c) levels of ≥6.5%. All participants were negative for hepatitis B surface antigen and hepatitis C virus antibody and were selected from 33,022 examinees at a health facility in Japan. Fundus photographs were analyzed using RetCAD software, and DR scores were quantified. The presence of DR was determined using two cutoffs: sensitivity (CO20) and specificity (CO50). Steatotic liver (SL) stages were assessed via ultrasound and fibrosis indices and classified into three groups: no SL (SL0), SL with low fibrosis (SL1), and SL with high fibrosis (SL2). Odds ratios (ORs) for the risk of DR associated with each SL stage were calculated using logistic regression, adjusted for age, sex, body mass index, HbA1c, C-reactive protein level, and alcohol consumption. The risk of DR was lower in the SL1 (OR: 0.63, 0.54) and SL2 (OR: 0.64, 0.77) groups compared to the SL0 group at CO20 for both the Fibrosis-4 Index (FIB-4) and the non-alcoholic fatty liver disease fibrosis score (NFS), respectively. Additionally, higher levels of cholinesterase were consistently associated with a reduced risk of DR (FIB-4: OR 0.52, NFS: OR 0.54) at CO50. This study demonstrates that MASLD was associated with a reduced risk of DR, with cholinesterase levels providing further protective effects, highlighting the need for further research into the protective mechanisms and refinement of DR evaluation techniques. The standardized AI evaluation method for DR offers a reliable approach for analyzing retinal changes.

Indexed as

Artificial IntelligenceDiabetic RetinopathyImage Interpretation, Computer-AssistedLiver CirrhosisNon-alcoholic Fatty Liver DiseasePhotographyCholinesterasesCross-Sectional StudiesFemaleFundus OculiGlycated HemoglobinHumansJapanMaleMiddle AgedProtective FactorsCholinesterasesGlycated Hemoglobin

Identifiers

PMID39689076
PMCPMC11651542

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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.