Evidence map›Paper›PMID 42851010›Full record

ArticleBioMed research international2026

Trends, Gaps, and Challenges in Antiviral Resistance: A Bibliometric Analysis and Narrative Synthesis of Key Viruses, Resistance Mechanisms, and Drivers.

Uwem Okon Edet, Md Zulfekar Ali, Bridget Enuwa Abah, Ebere Roseann Agusi, Olanrewaju Igah, Adeboyejo Kazeem Adeyinka, Clement Meseko

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Article in BioMed research international, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Uwem Okon EdetInfectious and Transboundary Animal Diseases, National Veterinary Research Institute (NVRI), Vom, Nigeria, nvri.gov.ng.ORCID https://orcid.org/0000-0003-0744-8564
Md Zulfekar AliAnimal Health Research Division, Bangladesh Livestock Research Institute, Savar, Dhaka, Bangladesh, blri.gov.bd.ORCID https://orcid.org/0000-0002-3971-8699
Bridget Enuwa AbahMicrobiology Department, School of Pure and Applied Sciences, Federal University of Technology, Ikot Abasi, Akwa Ibom State, Nigeria, futo.edu.ng.ORCID https://orcid.org/0009-0001-2293-7860
Ebere Roseann AgusiInfectious and Transboundary Animal Diseases, National Veterinary Research Institute (NVRI), Vom, Nigeria, nvri.gov.ng.ORCID https://orcid.org/0000-0001-9351-7356
Olanrewaju IgahInfectious and Transboundary Animal Diseases, National Veterinary Research Institute (NVRI), Vom, Nigeria, nvri.gov.ng.ORCID https://orcid.org/0000-0003-0092-576X
Adeboyejo Kazeem AdeyinkaDepartment of Medical Microbiology and Parasitology, Faculty of Basic Clinical Science, Olabisi Onabanjo University, Ago Iwoye, Ogun State, Nigeria, oouagoiwoye.edu.ng.
Clement MesekoInfectious and Transboundary Animal Diseases, National Veterinary Research Institute (NVRI), Vom, Nigeria, nvri.gov.ng.ORCID https://orcid.org/0000-0001-7003-7528

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundRibonucleic acid (RNA) viruses mutate faster than bacteria and most DNA viruses, yet our understanding of mutation-induced viral resistance remains limited compared with bacterial resistance. This has resulted in a fragmented global research landscape on antiviral resistance.

aimThis study is aimed at providing a holistic understanding of the global research landscape of antiviral resistance using bibliometric approach and narrative synthesis.

methodsBoth PubMed and Scopus database was systematically searched following the Scientific Procedures and Rationales for Systematic Literature Reviews (SPAR-4-SLR) protocol. Scopus yielded 375 records, whereas PubMed yielded 100 documents, all of which completely overlapped with those retrieved from Scopus. Given this overlap, the final dataset from Scopus (n = 314) was analyzed using VOSviewer, Biblioshiny, and R to identify publication trends, keyword evolution, author productivity, institutional contributions, and collaborative networks. Additionally, key findings from the Top 20 most cited studies and research on resistance mechanisms were synthesized to highlight research gaps.

resultsA total of 314 documents published between 1991 and 2026 (March 23, 2026) across 194 sources were identified, showing a modest annual growth rate of 2%. Research output peaked in 2020, although citation patterns were inconsistent. Keywords were dominated by pathogens such as human immunodeficiency virus (HIV), influenza, and COVID-19, indicating a focus on pathogen. Publications were concentrated in a limited number of high-impact journals (28.03%) and led predominantly by institutions in high-income countries, especially the United States. Mechanistically, resistance primarily arose from mutations in viral enzymes, with major drivers, including poor adherence, suboptimal dosing, prolonged therapy, misuse of antivirals, and intrinsic viral mutation rates. It is important to note that the mandatory inclusion of One Health-related terms in the search strategy may have excluded relevant antiviral resistance publications that did not explicitly utilize the One Health framework, potentially limiting the comprehensiveness of the retrieved literature.

conclusionAntiviral resistance research within the One Health framework remains limited, narrowly focused, and geographically concentrated. Broader, interdisciplinary studies and enhanced global research capacity are urgently needed to address existing knowledge gaps and disparities.

Indexed as

Antiviral AgentsBibliometricsDrug Resistance, ViralHumansMutationVirus DiseasesAntiviral Agentsantiviral resistancelandscapemechanismstrajectoryviral

Identifiers

PMID42851010

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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.