Evidence map›Paper›PMID 41021166›Full record

ArticleJapanese journal of ophthalmology2026

Role of perfusion-related metrics in visual field progression of primary open-angle and exfoliation glaucoma: a natural language processing approach.

Ayumu Akagi, Kaito Narimoto, Kanta Ueda, Noriko Koizumi, Naoki Okumura, Masaki Tanito

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Article in Japanese journal of ophthalmology, 2026. 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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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

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3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Effects of relative humidity on intraocular pressure using a time-series analysis.Graefe's archive for clinical and experimental ophthalmology = Albrecht von Graefes Archiv fur klinische und experimentelle Ophthalmologie · 2026
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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

6 authors.

Ayumu AkagiDepartment of Biomedical Engineering, Faculty of Life and Medical Sciences, Doshisha University, Kyotanabe, 610-0394, Japan.
Kaito NarimotoDepartment of Biomedical Engineering, Faculty of Life and Medical Sciences, Doshisha University, Kyotanabe, 610-0394, Japan.
Kanta UedaDepartment of Biomedical Engineering, Faculty of Life and Medical Sciences, Doshisha University, Kyotanabe, 610-0394, Japan.
Noriko KoizumiDepartment of Biomedical Engineering, Faculty of Life and Medical Sciences, Doshisha University, Kyotanabe, 610-0394, Japan.
Naoki OkumuraDepartment of Biomedical Engineering, Faculty of Life and Medical Sciences, Doshisha University, Kyotanabe, 610-0394, Japan. nokumura@mail.doshisha.ac.jp.ORCID http://orcid.org/0000-0003-2275-5263
Masaki TanitoDepartment of Ophthalmology, Shimane University Faculty of Medicine, Izumo, Japan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeTo investigate the association between vascular factors affecting optic nerve perfusion and glaucoma progression in a clinical setting with systematic monitoring of blood pressure and intraocular pressure (IOP). STUDY

designRetrospective cohort study.

methodsThis retrospective study analyzed 428 primary open-angle glaucoma (POAG; n=295) and exfoliation glaucoma (EXG; n=133) patients from Shimane University Hospital. We employed a validated Bidirectional Encoder Representations from Transformers (BERT)-based natural language processing system to extract clinical data from electronic medical records of 36,561 visits, including blood pressure measurements, IOP, and medication details across 216 clinical parameters. Mixed-effects regression models were employed to identify factors associated with visual field mean deviation (MD) and the rate of MD decline.

resultsThe cohort demonstrated consistent pressure management (median IOP: 13.0 mmHg; median systolic: 138.0 mmHg; median diastolic: 79.0 mmHg). Ocular perfusion pressure (OPP) showed no significant association with either visual field MD or the rate of MD decline. Significant predictors of worse visual field MD included age (coefficient: -0.28, 95% CI -0.33 to -0.23, p<0.001), history of filtration surgery (coefficient: -3.8, 95% CI -5.7 to -1.9, p<0.001), and number of glaucoma medications (coefficient: -0.19, 95% CI -0.35 to -0.030, p=0.020). Factors significantly associated with faster MD decline were age, initial MD severity, and medication burden.

conclusionsIn a clinical setting with systematic monitoring, OPP provided limited prognostic value for glaucoma progression, while traditional clinical factors were stronger predictors. Our BERT-based approach demonstrates how artificial intelligence (AI)-powered data extraction enables comprehensive analyses of clinical records, offering new insights for routine ophthalmological care.

Indexed as

Blood PressureExfoliation SyndromeGlaucoma, Open-AngleIntraocular PressureNatural Language ProcessingVisual FieldsAgedAged, 80 and overDisease ProgressionFemaleFollow-Up StudiesHumansMaleMiddle AgedRetrospective StudiesTonometry, OcularGlaucomaNatural language processingOcular perfusion pressure

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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.