Evidence map›Paper›PMID 41703959›Full record

ArticleImmunity, inflammation and disease2026

Clinical Analysis of Neonatal Influenza in the Neonatal Intensive Care Unit: A Retrospective Study.

Min Zhou, Jia Chen, Jing Zhao, Zhuli Yu, Mengjuan Feng, Xiang Qiu

Abstract read
In one paragraph

Article in Immunity, inflammation and disease, 2026. 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

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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

6 authors.

Min ZhouDepartment of Pediatrics, Chengdu Integrated TCM & Western Medicine Hospital, Chengdu, Sichuan, China.
Jia ChenDepartment of Pediatrics, Chengdu Integrated TCM & Western Medicine Hospital, Chengdu, Sichuan, China.
Jing ZhaoDepartment of Pediatrics, Chengdu Integrated TCM & Western Medicine Hospital, Chengdu, Sichuan, China.
Zhuli YuDepartment of Pediatrics, Chengdu Integrated TCM & Western Medicine Hospital, Chengdu, Sichuan, China.
Mengjuan FengDepartment of Ultrasound, Chengdu Integrated TCM & Western Medicine Hospital, Chengdu, Sichuan, China.
Xiang QiuDepartment of Radiology, Chengdu Integrated TCM & Western Medicine Hospital, Chengdu, Sichuan, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundTo describe the clinical characteristics, treatment, and outcomes of neonatal influenza.

methodsRetrospectively analyzed clinical data on 26 neonates who were diagnosed with neonatal influenza by positive influenza nasopharyngeal swab antigen tests, and admitted to the neonatal intensive care unit of Sichuan Province Chengdu Integrated TCM & Western Medicine Hospital in China, between January 2022 to December 2023.

resultsTwenty-six neonates were admitted, 25 with influenza A, whereas 1 co-infected influenza A and B. Nine patients had close contact with family members showing respiratory symptoms prior to hospitalization. Common symptoms included fever (53.85%), nasal congestion (46.15%), cough, neonatal jaundice, and loss of appetite. The most frequent laboratory abnormalities were elevated CK-MB (92.3%), lactic acid (80.77%), prominent lymphocytosis in both count and percentage, elevated monocyte percentage and AST. All patients treated with oseltamivir and recovered.

conclusionIn this single-year study, influenza A was the predominant type identified. The clinical symptoms are non-specific, and main symptom is fever 14/26 (53.85%). Treatment with oseltamivir is safe and had favorable outcomes.

Indexed as

Influenza A virusInfluenza, HumanIntensive Care Units, NeonatalAntiviral AgentsChinaFemaleHumansInfant, NewbornInfluenza B virusMaleOseltamivirRetrospective StudiesAntiviral AgentsOseltamivirinfluenzamaternalneonateoseltamivirvaccinationvirus

Identifiers

PMID41703959
PMCPMC12914074

What Socratic 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 Socratic graph.