Evidence map›Paper›PMID 39757937›Full record

ArticleEpidemiology and infection2025

Surge of human astrovirus type 1 infection in summer 2022 in Korea.

Su-Kyung Lee, You La Jeon, Eun-Jung Cho, Han-Sung Kim, Jae-Seok Kim, Wonkeun Song, Hyun Soo Kim

Abstract read
In one paragraph

Article in Epidemiology and infection, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

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

3 citing papers in PubMed.

  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

7 authors.

Su-Kyung LeeDepartment of Laboratory Medicine, Hallym University College of Medicine, Chuncheon, Korea.
You La JeonLaboratory Medicine, Green Cross Laboratories, Youngin, Korea.
Eun-Jung ChoDepartment of Laboratory Medicine, Hallym University College of Medicine, Chuncheon, Korea.
Han-Sung KimDepartment of Laboratory Medicine, Hallym University College of Medicine, Chuncheon, Korea.
Jae-Seok KimDepartment of Laboratory Medicine, Hallym University College of Medicine, Chuncheon, Korea.
Wonkeun SongDepartment of Laboratory Medicine, Hallym University College of Medicine, Chuncheon, Korea.
Hyun Soo KimDepartment of Laboratory Medicine, Hallym University College of Medicine, Chuncheon, Korea.ORCID 0000-0002-7026-6715

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

As astroviral infection rapidly increased in the summer of 2022 in Korea, this study aimed to determine the cause and genotype of astroviruses during this period. From January to December 2022, we tested 43,312 stool samples from patients with acute gastroenteritis utilizing multiplex PCR to detect HAstV. For the HAstV-positive samples, we determined the genotypes of the HAstVs by PCR and sequencing. The monthly positive rate from 2015 to 2022 showed a notable and abrupt increase of HAstV infection between June and August 2022, peaking at 9.8% in July 2022. The annual positivity rate of HAstV remained at 2-3% between 2015 and 2019, and then decreased to 0.5% in 2020, followed by an increase to 1.5% in 2021 and 3.6% in 2022.The genotyped astroviruses in 2022 were all identified as HAstV-1 type, and the nucleotide identity% among them was >99%. The GenBank accession number for the strain genetically closest to the strains identified in our study was ON571597.1, which was HAstV-1 isolated from Pingtan in 2019. Our results provide recent epidemiological data on HAstVs in Korea. The decline and surge in astrovirus positivity in recent years may be related to the COVID-19 pandemic.

Indexed as

Astroviridae InfectionsMamastrovirusSeasonsFecesGastroenteritisGenotypeHumansPhylogenyRepublic of KoreaAstrovirusgenotypeKoreaPCR

Identifiers

PMID39757937
PMCPMC11704925

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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.