Evidence map›Paper›PMID 37093860›Full record

ArticlePloS one2023

Assessment of factors affecting flicker ERGs recorded with RETeval from data obtained from health checkup screening.

Taiga Inooka, Taro Kominami, Shunsuke Yasuda, Yoshito Koyanagi, Junya Ota, Satoshi Okado, Ryo Tomita, Yasuki Ito, Takeshi Iwase, Hiroko Terasaki and 2 more

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2023. 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
0.3field-weighted citation impact, top 47% 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

2 citing papers in PubMed, 1 citations in OpenAlex.

  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

12 authors at 5 institutions in 1 country.

Taiga InookaDepartment of Ophthalmology, Nagoya University Graduate School of Medicine, Nagoya, Japan.ORCID 0000-0003-1912-5316
Taro KominamiDepartment of Ophthalmology, Nagoya University Graduate School of Medicine, Nagoya, Japan.
Shunsuke YasudaDepartment of Ophthalmology, Nagoya University Graduate School of Medicine, Nagoya, Japan.
Yoshito KoyanagiDepartment of Ophthalmology, Nagoya University Graduate School of Medicine, Nagoya, Japan.
Junya OtaDepartment of Ophthalmology, Nagoya University Graduate School of Medicine, Nagoya, Japan.
Satoshi OkadoDepartment of Ophthalmology, Nagoya University Graduate School of Medicine, Nagoya, Japan.
Ryo TomitaDepartment of Ophthalmology, Nagoya University Graduate School of Medicine, Nagoya, Japan.
Yasuki ItoDepartment of Ophthalmology, Fujita Health University School of Medicine, Toyoake, Japan.
Takeshi IwaseDepartment of Ophthalmology, Akita University Graduate School of Medicine, Akita, Japan.
Hiroko TerasakiDepartment of Ophthalmology, Nagoya University Graduate School of Medicine, Nagoya, Japan.
Koji M NishiguchiDepartment of Ophthalmology, Nagoya University Graduate School of Medicine, Nagoya, Japan.
Shinji UenoDepartment of Ophthalmology, Nagoya University Graduate School of Medicine, Nagoya, Japan.ORCID 0000-0001-5716-3626
Nagoya University · JPAkita University · JPFujita Health University · JPHirosaki University · JPKyushu University · JP

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeTo determine the factors significantly associated with the amplitudes and implicit times of the flicker electroretinograms (ERGs) recorded with the RETeval system by analyzing the comprehensive data obtained during a health checkup screening.

methodsFlicker ERGs were recorded with the RETeval system from 373 individuals who had a normal fundus and optical coherence tomography images. The sex, age, anthropometric, ophthalmologic, and hematologic data were collected from all participants who were 40- to 89-years-of-age. Univariable and multivariable linear mixed effects regression analyses were performed to identify factors that were significantly associated with the implicit times and amplitudes of the RETeval flicker ERGs.

resultsUnivariable linear mixed effects regression analysis showed significant correlations between the implicit times and the best-corrected visual acuity, the age, the axial length, the blood sugar level, and the blood urea nitrogen level. Analyses by multivariable linear mixed effects regression identified that the axial length (β = 0.28), the age (β = 0.24), and the blood sugar level (β = 0.092) were three independent factors that were significantly correlated with the implicit times of the RETeval flicker ERGs. Univariable linear mixed effects regression analysis also showed significant correlations between the amplitudes of the RETeval flicker ERGs and the age, the platelet count, and the creatinine level. Multivariable linear mixed effects regression models identified the age (β = -0.092), the platelet count (β = 0.099), and the creatinine level (β = -0.12) as three independent factors that were significantly correlated with the amplitudes of the RETeval flicker ERGs. However, the smoking habits, body mass index, and the blood pressure were not significantly correlated with either the implicit times or amplitudes of the RETeval flicker ERGs.

conclusionsOur results indicate that the age and some ophthalmologic and hematologic findings but not the anthropometric findings were significantly associated with the implicit times and amplitudes of the RETeval flicker ERGs. Thus, clinicians should remember these factors when analyzing the RETeval flicker ERGs.

Indexed as

Blood GlucoseRetinaCreatinineElectroretinographyHumansTomography, Optical CoherenceTranscriptional Regulator ERGBlood GlucoseCreatinineERG protein, humanTranscriptional Regulator ERG

Identifiers

PMID37093860
PMCPMC10124871
OpenAlexW4366818206

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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.