Evidence map›Paper›PMID 37888724›Full record

ReviewToxics2023

The Application of a Physiologically Based Toxicokinetic Model in Health Risk Assessment.

Mengting Chen, Ruihu Du, Tao Zhang, Chutao Li, Wenqiang Bao, Fan Xin, Shaozhang Hou, Qiaomei Yang, Li Chen, Qi Wang and 1 more

Abstract readReview
In one paragraph

Review in Toxics, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

  1. Review
  2. Review
  3. Whole-Body Disposition and Metabolism of [Environmental science & technology · 2025
    Article
  4. Article
  5. Review
  6. 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

11 authors.

Mengting ChenKey Laboratory of Ministry of Education for Gastrointestinal Cancer, School of Basic Medical Sciences, Fujian Medical University, Fuzhou 350108, China.ORCID 0000-0002-5850-2578
Ruihu DuDepartment of Toxicology, School of Public Health, Peking University, Beijing 100191, China.
Tao ZhangDepartment of Toxicology, School of Public Health, Peking University, Beijing 100191, China.
Chutao LiKey Laboratory of Ministry of Education for Gastrointestinal Cancer, School of Basic Medical Sciences, Fujian Medical University, Fuzhou 350108, China.
Wenqiang BaoKey Laboratory of Ministry of Education for Gastrointestinal Cancer, School of Basic Medical Sciences, Fujian Medical University, Fuzhou 350108, China.
Fan XinKey Laboratory of Ministry of Education for Gastrointestinal Cancer, School of Basic Medical Sciences, Fujian Medical University, Fuzhou 350108, China.
Shaozhang HouDepartment of Pathology, School of Basic Medical Sciences, Ningxia Medical University, Yinchuan 750004, China.
Qiaomei YangDepartment of Gynecology, Fujian Maternity and Child Health Hospital (Fujian Obstetrics and Gynecology Hospital), Fuzhou 350001, China.
Li ChenDepartment of Gynecology, Fujian Maternity and Child Health Hospital (Fujian Obstetrics and Gynecology Hospital), Fuzhou 350001, China.
Qi WangDepartment of Toxicology, School of Public Health, Peking University, Beijing 100191, China.ORCID 0000-0002-2653-3310
An ZhuKey Laboratory of Ministry of Education for Gastrointestinal Cancer, School of Basic Medical Sciences, Fujian Medical University, Fuzhou 350108, China.ORCID 0000-0002-9821-2946

Funding

Fujian Medical University High-level Talent Research Startup Funding Project XRCZX2020014National Natural Science Foundation of China 82104520, 82174068Natural Science Foundation of Fujian Province 2021J05045Open Research Fund of Key Laboratory of Gastrointestinal Cancer (Fujian Medical University), Ministry of Education FMUGIC-202101Startup Fund for Scientific Research of Fujian Medical University 2021QH1004
6 · The paper itself

Abstract

Toxicokinetics plays a crucial role in the health risk assessments of xenobiotics. Classical compartmental models are limited in their ability to determine chemical concentrations in specific organs or tissues, particularly target organs or tissues, and their limited interspecific and exposure route extrapolation hinders satisfactory health risk assessment. In contrast, physiologically based toxicokinetic (PBTK) models quantitatively describe the absorption, distribution, metabolism, and excretion of chemicals across various exposure routes and doses in organisms, establishing correlations with toxic effects. Consequently, PBTK models serve as potent tools for extrapolation and provide a theoretical foundation for health risk assessment and management. This review outlines the construction and application of PBTK models in health risk assessment while analyzing their limitations and future perspectives.

Indexed as

compartmental modelexposure routeshealth risk assessmentPBTK model

Identifiers

PMID37888724
PMCPMC10611306

What OpenQuestion holds

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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.