Evidence map›Paper›PMID 38238352›Full record

ArticleScientific reports2024

A new investigation on fractionalized modeling of human liver.

Sanjay Bhatter, Kamlesh Jangid, Shyamsunder Kumawat, Dumitru Baleanu, Sunil Dutt Purohit, Daya Lal Suthar

Abstract read
In one paragraph

Article in Scientific reports, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
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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

6 authors.

Sanjay BhatterDepartment of Mathematics, Malaviya National Institute of Technology Jaipur, Jaipur, India.
Kamlesh JangidDepartment of Mathematics, Central University of Rajasthan, Ajmer, India.
Shyamsunder KumawatDepartment of Mathematics, Malaviya National Institute of Technology Jaipur, Jaipur, India.
Dumitru BaleanuDepartment of Computer Science and Mathematics, Lebanese American University, Beirut, Lebanon.
Sunil Dutt PurohitDepartment of Computer Science and Mathematics, Lebanese American University, Beirut, Lebanon.
Daya Lal SutharDepartment of Mathematics, Wollo University, P.O. Box 1145, Dessie, Ethiopia. dlsuthar@gmail.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This study focuses on improving the accuracy of assessing liver damage and early detection for improved treatment strategies. In this study, we examine the human liver using a modified Atangana-Baleanu fractional derivative based on the mathematical model to understand and predict the behavior of the human liver. The iteration method and fixed-point theory are used to investigate the presence of a unique solution in the new model. Furthermore, the homotopy analysis transform method, whose convergence is also examined, implements the mathematical model. Finally, numerical testing is performed to demonstrate the findings better. According to real clinical data comparison, the new fractional model outperforms the classical integer-order model with coherent temporal derivatives.

Indexed as

LiverModels, TheoreticalHumans

Identifiers

PMID38238352
PMCPMC10796951

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.