Evidence map›Paper›PMID 36273195›Full record

ArticleBMC research notes2022

Fractional order differential equations for chronic liver cirrhosis with frequent hospitalization.

Lemesa Bedjisa Dano, Koya Purnachandra Rao, Temesgen Duressa Keno

Open access · goldAbstract read
In one paragraph

Article in BMC research notes, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
1.1field-weighted citation impact, top 26% 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

2 citing papers in PubMed, 8 citations in OpenAlex.

  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

3 authors at 1 institution in 1 country.

Lemesa Bedjisa DanoDepartment of Mathematics, Wollega University, Nekemte, Ethiopia. lemesabjsa@gmail.com.ORCID http://orcid.org/0000-0002-7323-628X
Koya Purnachandra RaoDepartment of Mathematics, Wollega University, Nekemte, Ethiopia.
Temesgen Duressa KenoDepartment of Mathematics, Wollega University, Nekemte, Ethiopia.
Wollega University · ET

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveLiver cirrhosis, which is considered as the terminal stage of liver diseases, has become life-threatening among non-communicable diseases in the world. Viral hepatitis (hepatitis B and C) is the major risk factor for the development and progression of chronic liver cirrhosis. The asymptomatic stage of cirrhosis is considered as the compensated cirrhosis whereas the symptomatic stage is considered as decompensated cirrhosis. The latter stage is characterized by complex disorder affecting multiple systems of liver organ with frequent hospitalization. In this paper, we formulate system of fractional differential equations of chronic liver cirrhosis with frequent hospitalization to investigate the dynamics of the disease. The fundamental properties including the existence of positive solutions, positively invariant set, and biological feasibility are discussed. We used generalized mean value theorem to establish the existence of positive solutions. The Adams-type predictor-evaluate-corrector-evaluate approach is used to present the numerical scheme the fractional erder model.

resultsUsing the numerical scheme, we simulate the solutions of the fractional order model. The numerical simulations are carried out using MATLAB software to illustrate the analytic findings. The analysis reveals that the number of decompensated cirrhosis individuals decreases when the progression rate and the disease's past states are considered.

Indexed as

Hepatitis BLiver CirrhosisHospitalizationHumansRisk FactorsCaputo fractional orderDecompensated cirrhosisHeavy alcohol consumptionHepatitis B infectionStability analysis

Identifiers

PMID36273195
PMCPMC9588237
OpenAlexW4307135223

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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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.