Evidence map›Paper›PMID 41025086›Full record

ReviewWorld journal of virology2025

Recent advances in avian influenza virus: Molecular pathogenesis, emerging strains, and next-generation therapeutics.

Basavraj S Nagoba, Shree V Dhotre, Mahesh N Sonar, Ajay M Gavkare, Sachin S Mumbre, Pradnya S Dhotre

Abstract readReview
In one paragraph

Review in World journal of virology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. 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

6 authors.

Basavraj S NagobaDepartment of Microbiology, Maharashtra Institute of Medical Sciences and Research (Medical College), Latur 413531, Maharashtra, India. dr_bsnagoba@yahoo.com.
Shree V DhotreDepartment of Microbiology, Ashwini Rural Medical College, Solapur 413006, Maharashtra, India.
Mahesh N SonarDepartment of Pediatrics, Maharashtra Institute of Medical Sciences and Research (Medical College), Latur 413531, Maharashtra, India.
Ajay M GavkareDepartment of Physiology, Maharashtra Institute of Medical Sciences and Research (Medical College), Latur 413531, Maharashtra, India.
Sachin S MumbreDepartment of Community Medicine, Ashwini Rural Medical College, Solapur 413006, India.
Pradnya S DhotreDepartment of Biochemistry, Ashwini Rural Medical College, Solapur 413006, India.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Avian influenza viruses (AIVs) represent an ongoing threat to global health due to their capacity for genetic evolution, zoonotic transmission, and pandemic emergence. This review highlights recent progress in understanding the molecular mechanisms underlying AIV infection, including viral immune evasion strategies and host-virus interactions. It discusses recent outbreaks involving reassortant strains such as H5N1 and H9N2, and examines their public health consequences. Advancements in antiviral therapy, including resistance patterns, and the development of next-generation vaccines such as messenger RNA and universal influenza vaccines are reviewed. The integration of genomic surveillance, artificial intelligence-driven prediction, and One Health approaches is emphasized as essential for pandemic preparedness. This comprehensive overview aims to provide researchers and policymakers with actionable insights for controlling the evolving threat of avian influenza.

Indexed as

Antiviral therapyAvian influenza virusMolecular pathogenesisPandemic preparednessSurveillanceVaccinesZoonotic transmission

Identifiers

PMID41025086
PMCPMC12476825

What OpenQuestion holds

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LicenceCC BY-NC
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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.