Evidence map›Paper›PMID 21740072›Full record

ArticleClinical pharmacokinetics2011

In vivo-in vitro-in silico pharmacokinetic modelling in drug development: current status and future directions.

Olavi Pelkonen, Miia Turpeinen, Hannu Raunio

Abstract read
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In one paragraph

Article in Clinical pharmacokinetics, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.

0numbers the graph read from it
0cells of the map it votes in
19citing 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

19 citing papers in PubMed.

  1. Article
  2. Multimodal Pharmacological Assessment ofFood science & nutrition · 2025
    Article
  3. Review
  4. Comprehensive Evaluation ofScientifica · 2025
    Article
  5. Article
  6. Article
  7. Article
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  15. Review
  16. Review
  17. Article
  18. Article
  19. Indian journal of pharmacology
    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.

Olavi PelkonenDepartment of Pharmacology and Toxicology, Institute of Biomedicine, University of Oulu, Oulu, Finland. olavi.pelkonen@oulu.fi
Miia Turpeinen
Hannu Raunio

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Although clinical drug trials are indispensable in providing an appropriate background for dosage recommendations, they can provide mechanistic pharmacokinetic information only indirectly with the help of certain biomarkers for pathological, physiological and pharmacological determinants. Thus, to provide such mechanistic information of clinical value, various in vitro and in silico tests and approaches are increasingly employed in drug discovery and development. Integration of the results of these primarily preclinical studies has been made possible by various computational models, such as in vitro-in vivo extrapolation of hepatic clearance or physiologically based pharmacokinetic modelling. In this article, the current status of these modelling approaches is surveyed and some examples are given, highlighting advantages and disadvantages in applying them at various phases of drug development. A new paradigm of model-based drug development is briefly described, and the importance of the approach of integrating all of the information coming from different investigations at all levels--be it in vivo, in vitro or in silico--is emphasized.

Indexed as

Computer SimulationDrug DesignModels, BiologicalAnimalsClinical Trials as TopicDrug DiscoveryHumansPharmacokinetics

Identifiers

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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.