Evidence map›Paper›PMID 40855850›Full record

ArticleMathematics (Basel, Switzerland)2025

A Mathematical Perspective on the Influence of Allee Effects in Oncolytic Virotherapy.

Eymard Hernández-López, Jin Wang

Abstract read
In one paragraph

Article in Mathematics (Basel, Switzerland), 2025. 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

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

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

2 authors.

Eymard Hernández-LópezDepartment of Mathematics, University of Tennessee at Chattanooga, Chattanooga, TN 37403, USA.ORCID 0000-0002-9285-4219
Jin WangDepartment of Mathematics, University of Tennessee at Chattanooga, Chattanooga, TN 37403, USA.

Funding

Mathematical Modeling and Scientific Computing for Infectious Disease ResearchR15GM152943 · NIGMS · UNIVERSITY OF TENNESSEE CHATTANOOGA · PI WANG, JIN · 2023 to 2023
$331k
NIGMS NIH HHS R15 GM152943
6 · The paper itself

Abstract

This article is concerned with the mathematical modeling of cancer virotherapy, emphasizing the impact of Allee effects on tumor cell growth. We propose a modeling framework that describes the complex interaction between tumor cells and oncolytic viruses. The efficacy of this therapy against cancer is mathematically investigated. The analysis involves linear and logistic growth scenarios coupled with different Allee effects, including weak, strong, and hyper Allee forms. Critical points are identified, and their existence and stability are analyzed using dynamical system theories and bifurcation techniques. Also, bifurcation diagrams and numerical simulations are utilized to verify and extend analytical results. It is observed that Allee effects significantly influence the stability of the system and the conditions necessary for tumor control and eradication.

Indexed as

34C2334D2092-10allee effectsbifurcation diagramsdynamical systemsHopf bifurcationlogistic growthtumor eradicationvirotherapy

Identifiers

PMID40855850
PMCPMC12373149

What OpenQuestion holds

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LicenceCC BY
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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.