Evidence map›Paper›PMID 35378697›Full record

ArticlePharmaceutical research2022

Re-writing Oral Pharmacokinetics Using Physiologically Based Finite Time Pharmacokinetic (PBFTPK) Models.

Pavlos Chryssafidis, Athanasios A Tsekouras, Panos Macheras

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Article in Pharmaceutical research, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.

0numbers the graph read from it
0cells of the map it votes in
18citing 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

18 citing papers in PubMed.

  1. Article
  2. Review
  3. Article
  4. Article
  5. Review
  6. Time Scale Calculus: a new approach to multi-dose pharmacokinetic modeling.Journal of pharmacokinetics and pharmacodynamics · 2024
    Article
  7. Article
  8. Article
  9. Article
  10. Coupling Drug Dissolution with BCS.Pharmaceutical research · 2024
    Article
  11. IVIVC Revised.Pharmaceutical research · 2024
    Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. 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

3 authors.

Pavlos ChryssafidisPharmaInformatics Unit, Research Center ATHENA, Athens, Greece.ORCID http://orcid.org/0000-0002-1163-5787
Athanasios A TsekourasPharmaInformatics Unit, Research Center ATHENA, Athens, Greece. thanost@chem.uoa.gr.ORCID http://orcid.org/0000-0002-4757-324X
Panos MacherasPharmaInformatics Unit, Research Center ATHENA, Athens, Greece. macheras@pharm.uoa.gr.ORCID http://orcid.org/0000-0003-2375-0552

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeTo develop physiologically based finite time pharmacokinetic (PBFTPK) models for the analysis of oral pharmacokinetic data.

methodsThe models are based on the passive drug diffusion mechanism under the sink conditions principle. Up to three drug successive input functions of constant rate operating for a total time τ are considered. Differential equations were written for all these models assuming linear one- or two-compartment-model disposition. The differential equations were solved and functions describing the concentration of drug as a function of time for the central and the peripheral compartment were derived. The equations were used to generate simulated data and they were also fitted to a variety of experimental literature oral pharmacokinetic data.

resultsThe simulated curves resemble real life data. The end of the absorption processes τ is either equal to t

conclusionsThe PBFTPK models are a powerful tool for the analysis of oral pharmacokinetic data since they rely on the physiologically sound concept of finite absorption time.

Indexed as

AlgorithmsModels, BiologicalAdministration, OralCyclosporineIbuprofenPharmacokineticsWritingCyclosporineIbuprofenalmotriptancyclosporinefinite absorption timeibuprofennirapariboral drug absorptionoral pharmacokineticsparacetamolphysiologically based finite time pharmacokinetic models

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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.