Evidence map›Paper›PMID 36331932›Full record

ArticlePloS one2022

Fractional transit compartment model for describing drug delayed response to tumors using Mittag-Leffler distribution on age-structured PKPD model.

Jong Hyuk Byun, Yunil Roh, In-Soo Yoon, Kwang Su Kim, Il Hyo Jung

Abstract read
In one paragraph

Article in PloS one, 2022. 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
  2. Article
  3. Bridging the gap between models based on ordinary, delayed, and fractional differentials equations through integral kernels.Proceedings of the National Academy of Sciences of the United States of America · 2024
    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

5 authors.

Jong Hyuk ByunDepartment of Mathematics, College of Natural Sciences, Pusan National University, Busan, South Korea.
Yunil RohDepartment of Mathematics, College of Natural Sciences, Pusan National University, Busan, South Korea.
In-Soo YoonDepartment of Manufacturing Pharmacy, College of Pharmacy and Research Institute of Drug Development, Pusan National University, Busan, South Korea.
Kwang Su KimDepartment of Science System Simulation, Pukyong National University, Busan, South Korea.
Il Hyo JungDepartment of Mathematics, College of Natural Sciences, Pusan National University, Busan, South Korea.ORCID 0000-0002-6086-5124

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The response of a cell population is often delayed relative to drug injection, and individual cells in a population of cells have a specific age distribution. The application of transit compartment models (TCMs) is a common approach for describing this delay. In this paper, we propose a TCM in which damaged cells caused by a drug are given by a single fractional derivative equation. This model describes the delay as a single equation composed of fractional and ordinary derivatives, instead of a system of ODEs expressed in multiple compartments, applicable to the use of the PK concentration in the model. This model tunes the number of compartments in the existing model and expresses the delay in detail by estimating an appropriate fractional order. We perform model robustness, sensitivity analysis, and change of parameters based on the amount of data. Additionally, we resolve the difficulty in parameter estimation and model simulation using a semigroup property, consisting of a system with a mixture of fractional and ordinary derivatives. This model provides an alternative way to express the delays by estimating an appropriate fractional order without determining the pre-specified number of compartments.

Indexed as

NeoplasmsNeural Networks, ComputerAlgorithmsComputer SimulationHumans

Identifiers

PMID36331932
PMCPMC9635704

What OpenQuestion holds

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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.