Evidence map›Paper›PMID 25120485›Full record

ReviewFrontiers in pharmacology2014

Implementation of pharmacokinetic and pharmacodynamic strategies in early research phases of drug discovery and development at Novartis Institute of Biomedical Research.

Tove Tuntland, Brian Ethell, Takatoshi Kosaka, Francesca Blasco, Richard Xu Zang, Monish Jain, Ty Gould, Keith Hoffmaster

Abstract readReview
In one paragraph

Review in Frontiers in pharmacology, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 95 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
95citing papers in PubMed, 2 pooled it
–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

95 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
  3. Pharmacokinetics of a Transdermal Fentanyl Solution in Suffolk Sheep (Journal of the American Association for Laboratory Animal Science : JAALAS · 2017
    Trial
  4. Article
  5. Article
  6. Review
  7. International journal of molecular sciences · 2026
    Review
  8. Article
  9. Article
  10. Review
  11. Review
  12. Biased Allosteric Modulation in GPCR Drug Discovery.Handbook of experimental pharmacology · 2026
    Review
  13. Article
  14. Review
  15. Article
  16. Article
  17. Review
  18. Article
  19. Advances in reversible covalent kinase inhibitors.Medicinal research reviews · 2025
    Review
  20. Article

35 more citing papers are in PubMed but not listed here.

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

8 authors.

Tove TuntlandMetabolism and Pharmacokinetics, Genomics Institute of Novartis Research Foundation San Diego, CA, USA.
Brian EthellMetabolism and Pharmacokinetics, Novartis Institute of Biomedical Research Horsham, West Sussex, UK.
Takatoshi KosakaMetabolism and Pharmacokinetics, Novartis Institute of Biomedical Research Horsham, West Sussex, UK.
Francesca BlascoMetabolism and Pharmacokinetics, Novartis Institute of Tropical Diseases Singapore, Singapore.
Richard Xu ZangMetabolism and Pharmacokinetics, Novartis Institute of Biomedical Research Emeryville, CA, USA.
Monish JainMetabolism and Pharmacokinetics, Novartis Institute of Biomedical Research Cambridge, MA, USA.
Ty GouldMetabolism and Pharmacokinetics, Novartis Institute of Biomedical Research Cambridge, MA, USA.
Keith HoffmasterMetabolism and Pharmacokinetics, Novartis Institute of Biomedical Research Cambridge, MA, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Characterizing the relationship between the pharmacokinetics (PK, concentration vs. time) and pharmacodynamics (PD, effect vs. time) is an important tool in the discovery and development of new drugs in the pharmaceutical industry. The purpose of this publication is to serve as a guide for drug discovery scientists toward optimal design and conduct of PK/PD studies in the research phase. This review is a result of the collaborative efforts of DMPK scientists from various Metabolism and Pharmacokinetic (MAP) departments of the global organization Novartis Institute of Biomedical Research (NIBR). We recommend that PK/PD strategies be implemented in early research phases of drug discovery projects to enable successful transition to drug development. Effective PK/PD study design, analysis, and interpretation can help scientists elucidate the relationship between PK and PD, understand the mechanism of drug action, and identify PK properties for further improvement and optimal compound design. Additionally, PK/PD modeling can help increase the translation of in vitro compound potency to the in vivo setting, reduce the number of in vivo animal studies, and improve translation of findings from preclinical species into the clinical setting. This review focuses on three important elements of successful PK/PD studies, namely partnership among key scientists involved in the study execution; parameters that influence study designs; and data analysis and interpretation. Specific examples and case studies are highlighted to help demonstrate key points for consideration. The intent is to provide a broad PK/PD foundation for colleagues in the pharmaceutical industry and serve as a tool to promote appropriate discussions on early research project teams with key scientists involved in PK/PD studies.

Indexed as

DMPKdrug discoveryNovartispharmacodynamicspharmacokineticsPK-PD modeling

Identifiers

PMID25120485
PMCPMC4112793

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.