Evidence map›Paper›PMID 38140105›Full record

ReviewPharmaceutics2023

Physiologically Based Pharmacokinetic Modeling in Neonates: Current Status and Future Perspectives.

Wei Zhang, Qian Zhang, Zhihai Cao, Liang Zheng, Wei Hu

Open access · goldAbstract readReview
In one paragraph

Review in Pharmaceutics, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
8.1field-weighted citation impact, top 2% of its field
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

7 citing papers in PubMed, 14 citations in OpenAlex.

  1. Article
  2. Review
  3. [Research progress in artificial intelligence for the diagnosis and management of diseases in preterm infants].Zhongguo dang dai er ke za zhi = Chinese journal of contemporary pediatrics · 2026
    Review
  4. Review
  5. Review
  6. Review
  7. 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

5 authors at 1 institution in 1 country.

Wei ZhangDepartment of Clinical Pharmacology, The Second Affiliated Hospital of Anhui Medical University, Hefei 230601, China.
Qian ZhangDepartment of Clinical Pharmacology, The Second Affiliated Hospital of Anhui Medical University, Hefei 230601, China.
Zhihai CaoDepartment of Clinical Pharmacology, The Second Affiliated Hospital of Anhui Medical University, Hefei 230601, China.
Liang ZhengDepartment of Clinical Pharmacology, The Second Affiliated Hospital of Anhui Medical University, Hefei 230601, China.ORCID 0000-0002-4971-451X
Wei HuDepartment of Clinical Pharmacology, The Second Affiliated Hospital of Anhui Medical University, Hefei 230601, China.
Anhui Medical University · CN

Funding

National Natural Science Foundation Incubation Program of the Second Affiliated Hospital of Anhui Medical University No.2022GQFY15National Natural Science Foundation of China No. 82204527the Research Fund of Anhui Institute of Translational Medicine project no. 2022zhyx-B10
6 · The paper itself

Abstract

Rational drug use in special populations is a clinical problem that doctors and pharma-cists must consider seriously. Neonates are the most physiologically immature and vulnerable to drug dosing. There is a pronounced difference in the anatomical and physiological profiles be-tween neonates and older people, affecting the absorption, distribution, metabolism, and excretion of drugs in vivo, ultimately leading to changes in drug concentration. Thus, dose adjustments in neonates are necessary to achieve adequate therapeutic concentrations and avoid drug toxicity. Over the past few decades, modeling and simulation techniques, especially physiologically based pharmacokinetic (PBPK) modeling, have been increasingly used in pediatric drug development and clinical therapy. This rigorously designed and verified model can effectively compensate for the deficiencies of clinical trials in neonates, provide a valuable reference for clinical research design, and even replace some clinical trials to predict drug plasma concentrations in newborns. This review introduces previous findings regarding age-dependent physiological changes and pathological factors affecting neonatal pharmacokinetics, along with their research means. The application of PBPK modeling in neonatal pharmacokinetic studies of various medications is also reviewed. Based on this, we propose future perspectives on neonatal PBPK modeling and hope for its broader application.

Indexed as

modeling and simulationPBPKpreterm infantsterm infants

Identifiers

PMID38140105
PMCPMC10747965
OpenAlexW4389613530

What OpenQuestion holds

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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.