Evidence map›Paper›PMID 34312742›Full record

ReviewAAPS PharmSciTech2021

Physiologically Based Pharmacokinetic Models Are Effective Support for Pediatric Drug Development.

Kefei Wang, Kun Jiang, Xiaoyi Wei, Yulan Li, Tiejie Wang, Yang Song

Abstract readReview
In one paragraph

Review in AAPS PharmSciTech, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 34 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
34citing 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

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

  1. Pooled it
  2. Review
  3. Review
  4. Review
  5. Article
  6. Review
  7. Review
  8. Article
  9. Review
  10. Review
  11. Review
  12. Review
  13. Article
  14. Article
  15. Review
  16. Article
  17. Review
  18. Article
  19. Article
  20. Review
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

6 authors.

Kefei Wang *School of Pharmacy, China Medical University, 110122, Shenyang, 110122, China.ORCID https://orcid.org/0000-0002-3893-3557
Kun Jiang *NMPA Key Laboratory for Bioequivalence Research of Generic Drug Evaluation, Shenzhen Institute for Drug Control, Shenzhen, 518057, China.
Xiaoyi WeiSchool of Pharmacy, China Medical University, 110122, Shenyang, 110122, China.
Yulan LiNMPA Key Laboratory for Bioequivalence Research of Generic Drug Evaluation, Shenzhen Institute for Drug Control, Shenzhen, 518057, China.
Tiejie WangNMPA Key Laboratory for Bioequivalence Research of Generic Drug Evaluation, Shenzhen Institute for Drug Control, Shenzhen, 518057, China. szyjwtj@163.com.
Yang SongSchool of Pharmacy, China Medical University, 110122, Shenyang, 110122, China. songyanglhyb1998@163.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Pediatric drug development faces many difficulties. Traditionally, pediatric drug doses are simply calculated linearly based on the body weight, age, and body surface area of adults. Due to the ontogeny of children, this simple linear scaling may lead to drug overdose in pediatric patients. The physiologically based pharmacokinetic (PBPK) model, as a mathematical model, contributes to the research and development of pediatric drugs. An example of a PBPK model guiding drug dose selection in pediatrics has emerged and has been approved by the relevant regulatory agencies. In this review, we discuss the principle of the PBPK model, emphasize the necessity of establishing a pediatric PBPK model, introduce the absorption, distribution, metabolism, and excretion of the pediatric PBPK model, and understand the various applications and related prospects of the pediatric PBPK model.

Indexed as

Drug DevelopmentModels, BiologicalPediatricsAdultChildComputer SimulationHumansPharmacokineticsResearch Designdrug developmentPBPK modelpediatrics

Identifiers

PMID34312742
PMCPMC8312709

What OpenQuestion holds

Textmetadata
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.