Evidence map›Paper›PMID 19340400›Full record

ArticleJournal of pharmacokinetics and pharmacodynamics2009

Fractional kinetics in drug absorption and disposition processes.

Aristides Dokoumetzidis, Panos Macheras

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Article in Journal of pharmacokinetics and pharmacodynamics, 2009. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 27 papers.

0numbers the graph read from it
0cells of the map it votes in
27citing 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

27 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Two compartmental fractional derivative model with general fractional derivative.Journal of pharmacokinetics and pharmacodynamics · 2023
    Review
  5. Article
  6. Article
  7. Article
  8. Article
  9. Review
  10. Article
  11. Review
  12. Monte Carlo simulations in drug release.Journal of pharmacokinetics and pharmacodynamics · 2019
    Review
  13. Panos Macheras: a pioneering scientist in pharmaceutical science.Journal of pharmacokinetics and pharmacodynamics · 2019
    Article
  14. Fractional calculus in pharmacokinetics.Journal of pharmacokinetics and pharmacodynamics · 2018
    Article
  15. Article
  16. Article
  17. How to avoid unbounded drug accumulation with fractional pharmacokinetics.Journal of pharmacokinetics and pharmacodynamics · 2013
    Article
  18. Individualization of a pharmacokinetic model by fractional and nonlinear fit improvement.European journal of drug metabolism and pharmacokinetics · 2013
    Article
  19. Simulation of Drug Uptake in a Two Compartmental Fractional Model for a Biological System.Communications in nonlinear science & numerical simulation · 2011
    Article
  20. A nonlinear two compartmental fractional derivative model.European journal of drug metabolism and pharmacokinetics · 2011
    Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

2 authors.

Aristides DokoumetzidisQueen's University of Belfast, Medical Biology Centre, UK. a.dokoumetzidis@qub.ac.uk
Panos Macheras

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

We explore the use of fractional order differential equations for the analysis of datasets of various drug processes that present anomalous kinetics, i.e. kinetics that are non-exponential and are typically described by power-laws. A fractional differential equation corresponds to a differential equation with a derivative of fractional order. The fractional equivalents of the "zero-" and "first-order" processes are derived. The fractional zero-order process is a power-law while the fractional first-order process is a Mittag-Leffler function. The latter behaves as a stretched exponential for early times and as a power-law for later times. Applications of these two basic results for drug dissolution/release and drug disposition are presented. The fractional model of dissolution is fitted successfully to datasets taken from literature of in vivo dissolution curves. Also, the proposed pharmacokinetic model is fitted to a dataset which exhibits power-law terminal phase. The Mittag-Leffler function describes well the data for small and large time scales and presents an advantage over empirical power-laws which go to infinity as time approaches zero. The proposed approach is compared conceptually with fractal kinetics, an alternative approach to describe datasets with non exponential kinetics. Fractional kinetics offers an elegant description of anomalous kinetics, with a valid scientific basis, since it has already been applied in problems of diffusion in other fields, and describes well the data.

Indexed as

Models, BiologicalModels, StatisticalPharmacokineticsAbsorptionHumansPharmaceutical PreparationsSolubilityTissue DistributionPharmaceutical Preparations

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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.