Evidence map›Paper›PMID 31662784›Full record

ArticleComputational and mathematical methods in medicine2019

Analysis of a Multiple Delays Model for Treatment of Cancer with Oncolytic Virotherapy.

Adil El Alami Laaroussi, Mohamed El Hia, Mostafa Rachik, Rachid Ghazzali

Open access · hybridAbstract read
In one paragraph

Article in Computational and mathematical methods in medicine, 2019. 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
0.7field-weighted citation impact, top 24% 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, 8 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

4 authors at 1 institution in 1 country.

Adil El Alami LaaroussiLaboratory of Analysis Modeling and Simulation (LAMS), Department of Mathematics and Computer Science, Faculty of Sciences Ben M'Sik, Hassan II University, Mohammedia, BP 7955, Sidi Othman, Casablanca, Morocco.ORCID https://orcid.org/0000-0002-0727-5213
Mohamed El HiaLaboratory of Modeling Applied to Economy and Management (LMAEGE), Faculty of Law, Economics and Social Sciences Ain Sebaa Casablanca, Hassan II University, Casablanca, Morocco.
Mostafa RachikLaboratory of Analysis Modeling and Simulation (LAMS), Department of Mathematics and Computer Science, Faculty of Sciences Ben M'Sik, Hassan II University, Mohammedia, BP 7955, Sidi Othman, Casablanca, Morocco.
Rachid GhazzaliLaboratory of Analysis Modeling and Simulation (LAMS), Department of Mathematics and Computer Science, Faculty of Sciences Ben M'Sik, Hassan II University, Mohammedia, BP 7955, Sidi Othman, Casablanca, Morocco.ORCID https://orcid.org/0000-0001-7808-4169
University of Hassan II Casablanca · MA

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Despite advanced discoveries in cancerology, conventional treatments by surgery, chemotherapy, or radiotherapy remain ineffective in some situations. Oncolytic virotherapy, i.e., the involvement of replicative viruses targeting specific tumor cells, opens new perspectives for better management of this disease. Certain viruses naturally have a preferential tropism for the tumor cells; others are genetically modifiable to present such properties, as the lytic cycle virus, which is a process that represents a vital role in oncolytic virotherapy. In the present paper, we present a mathematical model for the dynamics of oncolytic virotherapy that incorporates multiple time delays representing the multiple time periods of a lytic cycle. We compute the basic reproductive ratio

Indexed as

Computer SimulationDisease-Free SurvivalHumansModels, BiologicalNeoplasmsOncolytic VirotherapyOncolytic VirusesVirus Replication

Identifiers

PMID31662784
PMCPMC6791217
OpenAlexW2977873832

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.