Evidence map›Paper›PMID 35633919›Full record

ArticleComputational and mathematical methods in medicine2022

Chaos in Cancer Tumor Growth Model with Commensurate and Incommensurate Fractional-Order Derivatives.

Nadjette Debbouche, Adel Ouannas, Giuseppe Grassi, Abdul-Basset A Al-Hussein, Fadhil Rahma Tahir, Khaled M Saad, Hadi Jahanshahi, Ayman A Aly

Open access · hybridAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Computational and mathematical methods in medicine, 2022. 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
3.6field-weighted citation impact, top 6% 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

1 citing paper in PubMed, 27 citations in OpenAlex.

  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

8 authors at 6 institutions in 6 countries.

Nadjette DebboucheDepartment of Mathematics and Computer Science, University of Larbi Ben M'hidi, Oum El Bouaghi 04000, Algeria.
Adel OuannasDepartment of Mathematics and Computer Science, University of Larbi Ben M'hidi, Oum El Bouaghi 04000, Algeria.ORCID https://orcid.org/0000-0001-9611-2047
Giuseppe GrassiDipartimento Ingegneria Innovazione, Universita del Salento, 73100 Lecce, Italy.
Abdul-Basset A Al-HusseinElectrical Engineering Department, College of Engineering, University of Basrah, Basrah, Iraq.ORCID https://orcid.org/0000-0002-5957-4581
Fadhil Rahma TahirElectrical Engineering Department, College of Engineering, University of Basrah, Basrah, Iraq.ORCID https://orcid.org/0000-0002-3403-5477
Khaled M SaadDepartment of Mathematics, Faculty of Applied Science, Taiz University, Taiz, Yemen.ORCID https://orcid.org/0000-0001-6381-6806
Hadi JahanshahiDepartment of Mechanical Engineering, University of Manitoba, Winnipeg, MB R3T 5V6, Canada.ORCID https://orcid.org/0000-0001-7810-6479
Ayman A AlyDepartment of Mechanical Engineering, College of Engineering, Taif University, P.O.Box 11099, Taif 21944, Saudi Arabia.ORCID https://orcid.org/0000-0002-8383-8014
Larbi Ben M'hidi University of Oum El Bouaghi · DZUniversity of Basrah · IQTaif University · SATaiz University · YEUniversity of Manitoba · CAUniversity of Salento · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Analyzing the dynamics of tumor-immune systems can play an important role in the fight against cancer, since it can foster the development of more effective medical treatments. This paper was aimed at making a contribution to the study of tumor-immune dynamics by presenting a new model of cancer growth based on fractional-order differential equations. By investigating the system dynamics, the manuscript highlights the chaotic behaviors of the proposed cancer model for both the commensurate and the incommensurate cases. Bifurcation diagrams, the Lyapunov exponents, and phase plots confirm the effectiveness of the conceived approach. Finally, some considerations regarding the biological meaning of the obtained results are reported through the manuscript.

Indexed as

Models, StatisticalNeoplasmsNonlinear DynamicsHumans

Identifiers

PMID35633919
PMCPMC9142312
OpenAlexW4281262129

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.