Evidence map›Paper›PMID 37623842›Full record

ReviewMetabolites2023

Pharmacokinetic and Pharmacodynamic Drug-Drug Interactions: Research Methods and Applications.

Lei Sun, Kun Mi, Yixuan Hou, Tianyi Hui, Lan Zhang, Yanfei Tao, Zhenli Liu, Lingli Huang

Abstract readReview
In one paragraph

Review in Metabolites, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
18citing papers in PubMed, 1 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

18 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. Review
  4. Article
  5. Article
  6. Review
  7. Response to Tutorial Drug-Drug Interactions by EM Sellers.Clinical and translational science · 2026
    Article
  8. ACS pharmacology & translational science · 2025
    Article
  9. Article
  10. Review of the Interactions Between Anesthetic Agents and Chemotherapeutic Agents in Cancer Cell Lines Studied In Vitro.Medical science monitor : international medical journal of experimental and clinical research · 2025
    Review
  11. Article
  12. Review
  13. Review
  14. Review
  15. Review
  16. Review
  17. Review
  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

8 authors.

Lei SunNational Reference Laboratory of Veterinary Drug Residues, Huazhong Agricultural University, Wuhan 430000, China.
Kun MiNational Reference Laboratory of Veterinary Drug Residues, Huazhong Agricultural University, Wuhan 430000, China.ORCID 0000-0001-7058-1849
Yixuan HouNational Reference Laboratory of Veterinary Drug Residues, Huazhong Agricultural University, Wuhan 430000, China.
Tianyi HuiNational Reference Laboratory of Veterinary Drug Residues, Huazhong Agricultural University, Wuhan 430000, China.
Lan ZhangNational Reference Laboratory of Veterinary Drug Residues, Huazhong Agricultural University, Wuhan 430000, China.
Yanfei TaoNational Reference Laboratory of Veterinary Drug Residues, Huazhong Agricultural University, Wuhan 430000, China.
Zhenli LiuMAO Key Laboratory for Detection of Veterinary Drug Residues, Huazhong Agricultural University, Wuhan 430000, China.
Lingli HuangNational Reference Laboratory of Veterinary Drug Residues, Huazhong Agricultural University, Wuhan 430000, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Because of the high research and development cost of new drugs, the long development process of new drugs, and the high failure rate at later stages, combining past drugs has gradually become a more economical and attractive alternative. However, the ensuing problem of drug-drug interactions (DDIs) urgently need to be solved, and combination has attracted a lot of attention from pharmaceutical researchers. At present, DDI is often evaluated and investigated from two perspectives: pharmacodynamics and pharmacokinetics. However, in some special cases, DDI cannot be accurately evaluated from a single perspective. Therefore, this review describes and compares the current DDI evaluation methods based on two aspects: pharmacokinetic interaction and pharmacodynamic interaction. The methods summarized in this paper mainly include probe drug cocktail methods, liver microsome and hepatocyte models, static models, physiologically based pharmacokinetic models, machine learning models, in vivo comparative efficacy studies, and in vitro static and dynamic tests. This review aims to serve as a useful guide for interested researchers to promote more scientific accuracy and clinical practical use of DDI studies.

Indexed as

cocktaildrug combinationdrug–drug interaction (DDI)mathematical modelpharmacodynamic interactionpharmacokinetic interaction

Identifiers

PMID37623842
PMCPMC10456269

What OpenQuestion holds

Textmetadata
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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.