Evidence map›Paper›PMID 40137767›Full record

ArticlePathogens (Basel, Switzerland)2025

Retrospective Epidemiological Analysis of Influenza A Infections in a Single Hospital in Korea (2007-2024): Age, Sex, and Seasonal Patterns.

Jeong Su Han, Hyeong Ho Kim, Jae-Sik Jeon, Yoo Na Chung, Jae Kyung Kim

Abstract read
In one paragraph

Article in Pathogens (Basel, Switzerland), 2025. 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
–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

2 citing papers in PubMed.

  1. Article
  2. 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

5 authors.

Jeong Su HanDepartment of Biomedical Laboratory Science, College of Health Sciences, Dankook University, Cheonan-si 31116, Republic of Korea.
Hyeong Ho KimDepartment of Biomedical Laboratory Science, College of Health Sciences, Dankook University, Cheonan-si 31116, Republic of Korea.
Jae-Sik JeonDepartment of Biomedical Laboratory Science, College of Health Sciences, Dankook University, Cheonan-si 31116, Republic of Korea.ORCID 0000-0001-8981-5705
Yoo Na ChungDepartment of Medicine, College of Medicine, Dankook University, Cheonan-si 31116, Republic of Korea.
Jae Kyung KimDepartment of Biomedical Laboratory Science, College of Health Sciences, Dankook University, Cheonan-si 31116, Republic of Korea.ORCID 0000-0002-1534-563X

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Influenza A is a respiratory virus that causes high infection rates and mortality worldwide, particularly affecting high-risk groups such as children, older adults, and individuals with chronic conditions. This retrospective study was conducted at a single tertiary hospital in Korea to analyze the epidemiological characteristics of influenza A infections from 2007 to 2024, focusing on age, sex, and seasonal variations. Using multiplex real-time PCR data from 23,284 individuals, we found that the overall positivity rate for influenza A was 5.6%, with seasonal fluctuations showing the highest rate in winter (14.0%) and the lowest in summer (0.5%). Age-based analysis revealed significantly higher positivity rates in older adults (7.9%) and adults (7.6%) than in children (5.0%) and infants (3.1%). No significant differences were observed in positivity rates between sexes (male: 5.43%, female: 5.76%,

Indexed as

Influenza A virusInfluenza, HumanAdolescentAdultAgedAged, 80 and overAge FactorsChildChild, PreschoolFemaleHumansInfantInfant, NewbornMaleMiddle AgedRepublic of Koreachronic diseasehealth policyinfluenzareal-time polymerase chain reactionseasonal variationvaccination

Identifiers

PMID40137767
PMCPMC11946566

What OpenQuestion holds

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LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.