Evidence map›Paper›PMID 39871843›Full record

ArticleFrontiers in medicine2024

Characteristics of ocular findings of patients with coronavirus disease 2019 in China.

Shudan Wang, Jiaoyang Feng, Rui Zhu, Xin Jin, Yiheng Ding, Di Jin, Yu Guo, Hong Zhang

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Frontiers in medicine, 2024. 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

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. Article
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

8 authors.

Shudan Wang *Eye Hospital, The First Affiliated Hospital of Harbin Medical University, Harbin, China.
Jiaoyang Feng *Eye Hospital, The First Affiliated Hospital of Harbin Medical University, Harbin, China.
Rui ZhuEye Hospital, The First Affiliated Hospital of Harbin Medical University, Harbin, China.
Xin JinEye Hospital, The First Affiliated Hospital of Harbin Medical University, Harbin, China.
Yiheng DingEye Hospital, The First Affiliated Hospital of Harbin Medical University, Harbin, China.
Di JinEye Hospital, The First Affiliated Hospital of Harbin Medical University, Harbin, China.
Yu GuoEye Hospital, The First Affiliated Hospital of Harbin Medical University, Harbin, China.
Hong ZhangEye Hospital, The First Affiliated Hospital of Harbin Medical University, Harbin, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Purpose: This study aimed to report the ocular manifestations in individuals with coronavirus disease 2019 (COVID-19) and investigate any correlation between the occurrence of ocular symptoms and systemic symptoms. Methods: A retrospective electronic survey was conducted among the general public in northern China from December 2022 through February 2023. Inclusion criteria for COVID-19 was confirmed testing positive via a polymerase chain reaction (PCR) test or testing positive for COVID-19 via an antigen kit. The anonymous survey collected information on demographics, systemic COVID-19 symptoms, ocular diagnosis and symptoms, comorbidities and disease history. Results: A total of 2,405 survey responses were collected and the final analysis included individuals in the 335 COVID-19 positive group and 434 individuals in the COVID-19 negative group. Among COVID-19 positive patients 66.3% ( Conclusion: Individuals with COVID-19 were significantly more likely to experience ocular symptoms. COVID-19 was found to be associated with a higher prevalence of retinal diseases. The majority of individuals developed ocular symptoms right after the onset of systemic symptoms.

Indexed as

COVID-19ocular symptomsretinal manifestationssurvey studysystemic symptoms

Identifiers

PMID39871843
PMCPMC11771207

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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.