Evidence map›Paper›PMID 36120402›Full record

ArticleJournal of medical signals and sensors

Predicting Efficacy of 5-Fluorouracil Therapy via a Mathematical Model with Fuzzy Uncertain Parameters.

Sajad Shafiekhani, Amir Homayoun Jafari, Leila Jafarzadeh, Vahid Sadeghi, Nematollah Gheibi

Open access · diamondAbstract read
In one paragraph

Article in Journal of medical signals and sensors. 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
0.1field-weighted citation impact, top 59% 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, 1 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 3 institutions in 2 countries.

Sajad ShafiekhaniDepartment of Biomedical Engineering, Research Center for Biomedical Technologies and Robotics, School of Medicine, Tehran University of Medical Sciences, School of Medicine, Tehran, Iran.
Amir Homayoun JafariDepartment of Biomedical Engineering, Research Center for Biomedical Technologies and Robotics, School of Medicine, Tehran University of Medical Sciences, School of Medicine, Tehran, Iran.
Leila JafarzadehDepartment of Medical Immunology, School of Medicine, Tehran University of Medical Sciences, Tehran, Iran.
Vahid SadeghiDepartment of Biomedical Engineering, School of Medicine, Isfahan University of Medical Sciences, Isfahan, Iran.
Nematollah GheibiDepartment of Medical Biotechnology, School of Paramedical Sciences, Qazvin University of Medical Sciences, Qazvin, Iran.
Tehran University of Medical Sciences · IRIsfahan University of Medical Sciences · IRQazvin University of Medical Sciences · IR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Due to imprecise/missing data used for parameterization of ordinary differential equations (ODEs), model parameters are uncertain. Uncertainty of parameters has hindered the application of ODEs that require accurate parameters. Methods: We extended an available ODE model of tumor-immune system interactions via fuzzy logic to illustrate the fuzzification procedure of an ODE model. The fuzzy ODE (FODE) model assigns a fuzzy number to the parameters, to capture parametric uncertainty. We used the FODE model to predict tumor and immune cell dynamics and to assess the efficacy of 5-fluorouracil (5-FU) chemotherapy. Result: FODE model investigates how parametric uncertainty affects the uncertainty band of cell dynamics in the presence and absence of 5-FU treatment. Conclusion: ODE models with fuzzy uncertain kinetic parameters cope with insufficient/imprecise experimental data in the field of mathematical oncology and can predict cell dynamics uncertainty band.

Indexed as

5-fluorouracilfuzzyordinary differential equationuncertain

Identifiers

PMID36120402
PMCPMC9480509
OpenAlexW4293173867

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-SA
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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.