Evidence map›Paper›PMID 41040426›Full record

ArticleJournal of multidisciplinary healthcare2025

Oncolytic Virotherapy for Glioma: A Bibliometric Roadmap for Multidisciplinary Clinical and Research Strategies.

Shichao Liu, Risheng Liang

Abstract read
In one paragraph

Article in Journal of multidisciplinary healthcare, 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. Review
  2. Review
  3. 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

2 authors.

Shichao LiuDepartment of Neurosurgery, Fujian Medical University Union Hospital, Fuzhou, Fujian, 350001, People's Republic of China.ORCID 0009-0005-7339-6952
Risheng LiangDepartment of Neurosurgery, Fujian Medical University Union Hospital, Fuzhou, Fujian, 350001, People's Republic of China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Glioblastoma (GBM) remains the most lethal primary brain tumor with a dismal prognosis despite standard therapies. Oncolytic viruses (OVs), which selectively destroy cancer cells and stimulate anti-tumor immunity, have emerged as a promising therapeutic strategy. This study aims to systematically map the global research landscape, knowledge structure, and evolutionary trends of OV therapy for gliomas. Methods: Publications from 2009 to 2025 were retrieved from the Web of Science Core Collection (WOSCC). Bibliometric analysis and knowledge mapping were conducted using CiteSpace and RStudio to analyze collaboration networks, co-citation patterns, and keyword evolution. Results: A total of 559 publications were analyzed. The annual output has grown exponentially since 2020, with the USA and China being the most productive countries. A clear paradigm shift was identified, moving from early research focused on direct oncolysis by viral vectors like Herpes Simplex Virus to a current emphasis on immuno-virotherapy. Recent hotspots are dominated by keywords such as immunotherapy, combination, tumor microenvironment, and T-cells, indicating a research trajectory towards complex, synergistic treatment strategies. Harvard University and Brigham and Women's Hospital are the leading institutions in this field. Conclusion: The research field of oncolytic virotherapy for gliomas is rapidly advancing, with a clear evolution towards sophisticated combination immunotherapies. This analysis provides a comprehensive roadmap of the field's knowledge base and identifies key future directions, including overcoming delivery barriers and developing personalized treatment protocols, to accelerate the clinical translation of this promising therapy.

Indexed as

bibliometricsCiteSpacegliomasoncolytic virusesresearch trends

Identifiers

PMID41040426
PMCPMC12484103

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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.