Evidence map›Paper›PMID 36829718›Full record

ArticleBioengineering (Basel, Switzerland)2023

Interaction of Virus in Cancer Patients: A Theoretical Dynamic Model.

Veli B Shakhmurov, Muhammet Kurulay, Aida Sahmurova, Mustafa Can Gursesli, Antonio Lanata

Open access · goldAbstract read
In one paragraph

Article in Bioengineering (Basel, Switzerland), 2023. 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
0.9field-weighted citation impact, top 33% of its field
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, 4 citations in OpenAlex.

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

5 authors at 4 institutions in 3 countries.

Veli B ShakhmurovDepartment of Industrial Engineering, Antalya Bilim University, Ciplakli Mahallesi Farabi Caddesi 23 Dosemealti, Antalya 07190, Turkey.ORCID 0000-0002-7685-4913
Muhammet KurulayDepartment of Mathematics Engineering, Yildiz Technical University, Istanbul 34225, Turkey.ORCID 0000-0002-9276-9989
Aida SahmurovaDepartment of Nursing, Antalya Bilim University, Ciplakli Mahallesi Farabi Caddesi 23 Dosemealti, Antalya 07190, Turkey.
Mustafa Can GursesliDepartment of Information Engineering, University of Florence, Via Santa Marta 3, 50139 Firenze, Italy.ORCID 0000-0003-3387-5551
Antonio LanataDepartment of Information Engineering, University of Florence, Via Santa Marta 3, 50139 Firenze, Italy.ORCID 0000-0002-6540-5952
University of Florence · ITAntalya Bilim University · TRAzerbaijan State University of Economics · AZYıldız Technical University · TR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This study reports on a phase-space analysis of a mathematical model of tumor growth with the interaction between virus and immune response. In this study, a mathematical determination was attempted to demonstrate the relationship between uninfected cells, infected cells, effector immune cells, and free viruses using a dynamic model. We revealed the stability analysis of the system and the Lyapunov stability of the equilibrium points. Moreover, all endemic equilibrium point models are derived. We investigated the stability behavior and the range of attraction sets of the nonlinear systems concerning our model. Furthermore, a global stability analysis is proved either in the construction of a Lyapunov function showing the validity of the concerned disease-free equilibria or in endemic equilibria discussed by the model. Finally, a simulated solution is achieved and the relationship between cancer cells and other cells is drawn.

Indexed as

immune system cellsmathematical modelingstability of dynamical systemstumor growthvirus

Identifiers

PMID36829718
PMCPMC9952378
OpenAlexW4319600097

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.