Evidence map›Paper›PMID 35330047›Full record

ArticleJournal of clinical medicine2022

Impact of the Coronavirus Disease 2019 Pandemic on the Ophthalmology Department.

Ha-Eun Sim, Kyeong-Do Jeong, Je-Hyung Hwang

Abstract read
In one paragraph

Article in Journal of clinical medicine, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. Impact of Covid-19 on Pediatric Ophthalmology Care: Lessons Learned.Pediatric health, medicine and therapeutics · 2023
    Review
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

3 authors.

Ha-Eun SimDepartment of Ophthalmology, Sanggye Paik Hospital, Inje University College of Medicine, Seoul 01757, Korea.
Kyeong-Do JeongEyelove Eye Clinic, Seoul 01757, Korea.ORCID 0000-0001-6129-7512
Je-Hyung HwangDepartment of Ophthalmology, Sanggye Paik Hospital, Inje University College of Medicine, Seoul 01757, Korea.ORCID 0000-0001-8081-7771

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

We aimed to evaluate the effects of the coronavirus disease (COVID-19) pandemic on the Ophthalmology Department. This study was based on data collected between January 2019 and November 2021. We divided patients scheduled for eye care during pre-COVID-19 (January-December 2019), early COVID-19 (January-December 2020), and late COVID-19 (January-November 2021) periods. Changes in the outpatient cancellation rate in each department were analyzed and compared in the pre-, early, and late periods. The basic information of cancellation and reason for not visiting the clinic were also analyzed. Overall, 121,042 patients were scheduled to visit the Sanggye Paik Hospital Ophthalmology Department. The overall cancellation rate was 19.13% during pre-COVID-19, 24.13% during early COVID-19, and 17.34% during late COVID-19. The reasons for not visiting the clinic included hospital, patient, and contact factors; hospitalization in other departments and hospitals; and death. The Strabismus/Pediatric Ophthalmology Department showed the highest cancellation rate of 24.21% over three years. There were no significant differences in the causes of hospital visits by period. The COVID-19 pandemic has caused an overall decrease in the number of ophthalmic outpatients. However, after about a year, the number of outpatients in these departments recovered to the level before the COVID-19 outbreak.

Indexed as

COVID-19no-showophthalmology

Identifiers

PMID35330047
PMCPMC8951152

What OpenQuestion holds

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LicenceCC BY
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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.