Evidence map›Paper›PMID 39235400›Full record

ArticleTranslational vision science & technology2024

Impact of the Coronavirus Disease 2019 Pandemic on Outpatient Visits for Diabetic Retinopathy in Japan: A Retrospective Cohort Study.

Kunihiko Hirosawa, Takenori Inomata, Yasutsugu Akasaki, Jaemyoung Sung, Alan Yee, Masao Iwagami, Ken Nagino, Yuichi Okumura, Keiichi Fujimoto, Akie Midorikawa-Inomata and 8 more

Abstract read
In one paragraph

Article in Translational vision science & technology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed, 1 pooled it
–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

1 citing paper in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
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

18 authors.

Kunihiko HirosawaDepartment of Ophthalmology, Juntendo University Graduate School of Medicine, Tokyo, Japan.
Takenori InomataDepartment of Ophthalmology, Juntendo University Graduate School of Medicine, Tokyo, Japan.
Yasutsugu AkasakiDepartment of Ophthalmology, Juntendo University Graduate School of Medicine, Tokyo, Japan.
Jaemyoung SungDepartment of Ophthalmology, Juntendo University Graduate School of Medicine, Tokyo, Japan.
Alan YeeDepartment of Ophthalmology, Juntendo University Graduate School of Medicine, Tokyo, Japan.
Masao IwagamiDepartment of Health Services Research, Faculty of Medicine, University of Tsukuba, Ibaraki, Japan.
Ken NaginoDepartment of Ophthalmology, Juntendo University Graduate School of Medicine, Tokyo, Japan.
Yuichi OkumuraDepartment of Ophthalmology, Juntendo University Graduate School of Medicine, Tokyo, Japan.
Keiichi FujimotoDepartment of Ophthalmology, Juntendo University Graduate School of Medicine, Tokyo, Japan.
Akie Midorikawa-InomataDepartment of Telemedicine and Mobile Health, Juntendo University Graduate School of Medicine, Tokyo, Japan.
Atsuko EguchiDepartment of Hospital Administration, Juntendo University Graduate School of Medicine, Tokyo, Japan.
Hurramhon ShokirovaDepartment of Ophthalmology, Juntendo University Graduate School of Medicine, Tokyo, Japan.
Kenta FujioDepartment of Ophthalmology, Juntendo University Graduate School of Medicine, Tokyo, Japan.
Tianxiang HuangDepartment of Ophthalmology, Juntendo University Graduate School of Medicine, Tokyo, Japan.
Yuki MorookaDepartment of Ophthalmology, Juntendo University Graduate School of Medicine, Tokyo, Japan.
Hiroyuki KobayashiDepartment of Hospital Administration, Juntendo University Graduate School of Medicine, Tokyo, Japan.
Akira MurakamiDepartment of Ophthalmology, Juntendo University Graduate School of Medicine, Tokyo, Japan.
Shintaro NakaoDepartment of Ophthalmology, Juntendo University Graduate School of Medicine, Tokyo, Japan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Purpose: Long-term ramifications of the coronavirus disease 2019 pandemic on various care-seeking characteristics of patients with diabetic retinopathy remain unclear. This study aimed to identify risk factors for dropout from regular fundus examinations (RFEs) in patients with diabetic retinopathy in Japan. Methods: We extracted demographic and health checkup data (April 2018 to March 2021) from the JMDC database. Patients with diabetes identified using diagnosis-related and medication codes were included. The dropout and continuation groups included patients who discontinued and continued to undergo RFEs during the coronavirus disease 2019 pandemic, respectively. Results: The number of RFEs was significantly lower during the mild lockdown period (April and May 2020) than during the prepandemic period. Of the 14,845 patients with diabetes, 2333 (15.7%) dropped out of RFEs during the pandemic, whereas before the pandemic, of the 11,536 patients with diabetes, 1666 (14.4%) dropped out of RFEs (P = 0.004). Factors associated with dropout in the multivariate logistic regression analysis included younger age, male sex, high triglyceride levels, high γ-glutamyl transpeptidase levels, smoking habit, alcohol consumption, weight gain of more than 10 kg since the age of 20 years, and certain stages of lifestyle improvement. Factors associated with continuation included low body mass index and high glycosylated hemoglobin levels. Conclusions: Our findings can assist in identifying patients with diabetes at risk of dropout. Translational Relevance: These results have implications for public health and identifying patients with diabetes at risk of dropout. Education and tailored monitoring regimens could be pivotal role in fostering adherence.

Indexed as

COVID-19Diabetic RetinopathyAdultAgedAmbulatory CareFemaleHumansJapanMaleMiddle AgedPandemicsRetrospective StudiesRisk FactorsSARS-CoV-2

Identifiers

PMID39235400
PMCPMC11379092

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.