Evidence map›Paper›PMID 37809539›Full record

ReviewHeliyon2023

Mathematical modeling of active contraction of the human cardiac myocyte: A review.

Fisal Asiri, Md Irfanul Haque Siddiqui, Masood Ashraf Ali, Tabish Alam, Dan Dobrotă, Radu Chicea, Robert Daniel Dobrotă

Open access · goldAbstract readReview
PubMed Full text at PMC Publisher
In one paragraph

Review in Heliyon, 2023. 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
1.1field-weighted citation impact, top 20% 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

3 citing papers in PubMed, 5 citations in OpenAlex.

  1. Article
  2. Article
  3. 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

7 authors at 6 institutions in 3 countries.

Fisal AsiriDepartment of Mathematics, Taibah University, Medina, 42353, Saudi Arabia.
Md Irfanul Haque SiddiquiMechanical Engineering Department, King Saud University, Riyadh, 11421, Saudi Arabia.
Masood Ashraf AliDepartment of Industrial Engineering, College of Engineering, Prince Sattam Bin Abdulaziz University, Al-Kharj, 16273, Saudi Arabia.
Tabish AlamCSIR-Central Building Research Institute, Roorkee, 247667, India.
Dan DobrotăFaculty of Engineering, Lucian Blaga University of Sibiu, 550024, Sibiu, Romania.
Radu ChiceaFaculty of Medicine, Lucian Blaga University of Sibiu, 550024, Sibiu, Romania.
Robert Daniel DobrotăCarol Davila University of Medicine and Pharmacy Bucharest, Romania.
Lucian Blaga University of Sibiu · ROCarol Davila University of Medicine and Pharmacy · ROCentral Building Research Institute · INKing Saud University · SAPrince Sattam Bin Abdulaziz University · SATaibah University · SA

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background and objective: In this present research paper, a mathematical model has been developed to study myocyte contraction in the human cardiac muscle, using the Land model. Different parts of the human heart with a focus on the composition of the myocyte cells have been explored numerically to enabling us to determine the interaction of various parameters in the heart muscle. The main objective of the work is to direct the study of the Land model, which has been exploited to simulate the contraction of real human myocytes. Methods: Mathematical models has been developed based on the Hill model and Huxley model. Myocyte contraction for different scenarios, such as in isometric tension and isotonic tension have been studied. Results: It is found that increase in stretch, the peak active tension increases, in line with well-established length-dependent tension generation. Five parameters are selected: [Ca Conclusion: In conclusion, it is found that the Land model provides a good platform for the analysis of the active contraction of the human cardiac myocyte.

Indexed as

Active contractionCardiac muscleHeartMathematical modelingMathematical physiologyMyocyte

Identifiers

PMID37809539
PMCPMC10559823
OpenAlexW4386640259

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.