Evidence map›Paper›PMID 33446826›Full record

Observational studyScientific reports2021

Aqueous autotaxin and TGF-βs are promising diagnostic biomarkers for distinguishing open-angle glaucoma subtypes.

Nozomi Igarashi, Megumi Honjo, Ryo Asaoka, Makoto Kurano, Yutaka Yatomi, Koji Igarashi, Kazunori Miyata, Toshikatsu Kaburaki, Makoto Aihara

Open access · goldAbstract readObservational Study
In one paragraph

Observational study in Scientific reports, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 29 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
29citing papers in PubMed, 3 pooled it
6.2field-weighted citation impact, top 3% of its field
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

29 citing papers in PubMed, 3 syntheses or guidelines pooled it, 42 citations in OpenAlex.

  1. Pooled it
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  7. Potential benefits of vitamin A and its derivatives in glaucoma.European journal of medical research · 2025
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  12. Role of TGF-β1/SMADs signalling pathway in resveratrol-induced reduction of extracellular matrix deposition by dexamethasone-treated human trabecular meshwork cells.The Korean journal of physiology & pharmacology : official journal of the Korean Physiological Society and the Korean Society of Pharmacology · 2024
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  14. Applications of artificial intelligence and bioinformatics methodologies in the analysis of ocular biofluid markers: a scoping review.Graefe's archive for clinical and experimental ophthalmology = Albrecht von Graefes Archiv fur klinische und experimentelle Ophthalmologie · 2024
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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

9 authors at 6 institutions in 1 country.

Nozomi IgarashiDepartment of Ophthalmology, Graduate School of Medicine, University of Tokyo School of Medicine, 7-3-1 Hongo Bunkyo-ku, Tokyo, 113-8655, Japan.
Megumi HonjoDepartment of Ophthalmology, Graduate School of Medicine, University of Tokyo School of Medicine, 7-3-1 Hongo Bunkyo-ku, Tokyo, 113-8655, Japan. honjomegumi@gmail.com.
Ryo AsaokaDepartment of Ophthalmology, Graduate School of Medicine, University of Tokyo School of Medicine, 7-3-1 Hongo Bunkyo-ku, Tokyo, 113-8655, Japan.
Makoto KuranoDepartment of Clinical Laboratory Medicine, Graduate School of Medicine, The University of Tokyo, Tokyo, Japan.
Yutaka YatomiDepartment of Clinical Laboratory Medicine, Graduate School of Medicine, The University of Tokyo, Tokyo, Japan.
Koji IgarashiBioscience Division, Reagent and Development Management, TOSOH Corporation, Kanagawa, Japan.ORCID 0000-0002-5007-7079
Kazunori MiyataMiyata Eye Hospital, Miyazaki, Japan.
Toshikatsu KaburakiDepartment of Ophthalmology, Graduate School of Medicine, University of Tokyo School of Medicine, 7-3-1 Hongo Bunkyo-ku, Tokyo, 113-8655, Japan.
Makoto AiharaDepartment of Ophthalmology, Graduate School of Medicine, University of Tokyo School of Medicine, 7-3-1 Hongo Bunkyo-ku, Tokyo, 113-8655, Japan.ORCID 0000-0001-6810-0583
The University of Tokyo · JPUniversity of Tokyo Hospital · JPJichi Medical University · JPMiyata Eye Hospital · JPSeirei Christopher University · JPTosoh (Japan) · JP

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The purpose of this study is to examine if aqueous autotaxin (ATX) and TGF-β levels could be used for differentiating glaucoma subtypes. This prospective observational study was performed using aqueous humor samples obtained from 281 consecutive patients. Open angle glaucoma patients were classified into three groups: primary open-angle glaucoma (POAG), secondary open-angle glaucoma (SOAG), and exfoliation glaucoma (XFG). Aqueous levels of ATX and TGF-βs were quantified. The AUC as well as sensitivity and specificity for the classification into normal and glaucoma subtypes using four indicators-ATX, TGF-β1, TGF-β2, and TGF-β3, upon the application of three machine learning methods. ATX, TGF-β1, and TGF-β3 were positively correlated with IOP, and ATX was significantly and negatively correlated with the mean deviation. From least absolute shrinkage and selection operator regression analysis, the AUC values to distinguish each subgroup [normal, POAG, SOAG, and XFG] ranged between 0.675 (POAG vs. normal) and 0.966 (XFG vs. normal), when four variables were used. High AUC values were obtained with ATX for discriminating XFG from normal eyes and with TGF-β3 for discriminating XFG from normal eyes, POAG, or SOAG. Aqueous TGF-β and ATX exhibited high diagnostic performance in detecting glaucoma subtypes, and could be promising biomarkers for glaucoma.

Indexed as

Glaucoma, Open-AngleMachine LearningAdultAgedAged, 80 and overAqueous HumorBiomarkersFemaleHumansLysophospholipase DMaleMiddle AgedPhosphoric Diester HydrolasesProspective StudiesTransforming Growth Factor betaBiomarkersLysophospholipase DPhosphoric Diester HydrolasesTransforming Growth Factor beta

Identifiers

PMID33446826
PMCPMC7809106
OpenAlexW3125584727

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.