Evidence map›Paper›PMID 41884482›Full record

ArticleDrug design, development and therapy2026

A Multi-Center Study of Population Pharmacokinetics of Polymyxin B in Critically Ill Patients.

Yirong Wang, Xipei Wang, Liming Lei, Wanheng Sun, Zheng Wu, Jinhua Lan, Jingchun Chen, Yifan Wang, Fen Yao, Linhui Hu and 2 more

Abstract readMulticenter Study
PubMed Full text at PMC Publisher
In one paragraph

Article in Drug design, development and therapy, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Review
  2. 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

12 authors.

Yirong Wang *Department of Critical Care Medicine, Shenzhen People's Hospital, The Second Clinical Medical College of Jinan University, The First Affiliated Hospital of Southern University of Science and Technology, Shenzhen, People's Republic of China.
Xipei Wang *Research Center of Medical Sciences, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, People's Republic of China.
Liming Lei *Department of Intensive Care Unit of Cardiovascular Surgery, Guangdong Cardiovascular Institute, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, Southern Medical University, Guangzhou, People's Republic of China.
Wanheng Sun *Department of Neurology, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, People's Republic of China.
Zheng WuSchool of Biology and Biological Engineering, South China University of Technology, Guangzhou, People's Republic of China.
Jinhua LanDepartment of Pharmacy, General Hospital of Southern Theatre Command, Guangzhou, People's Republic of China.ORCID 0000-0003-3839-0772
Jingchun ChenSchool of Biology and Biological Engineering, South China University of Technology, Guangzhou, People's Republic of China.
Yifan WangDepartment of Critical Care Medicine, Shenzhen People's Hospital, The Second Clinical Medical College of Jinan University, The First Affiliated Hospital of Southern University of Science and Technology, Shenzhen, People's Republic of China.
Fen YaoDepartment of Critical Care Medicine, Shenzhen People's Hospital, The Second Clinical Medical College of Jinan University, The First Affiliated Hospital of Southern University of Science and Technology, Shenzhen, People's Republic of China.
Linhui HuDepartment of Critical Care Medicine, Maoming People's Hospital, Maoming, People's Republic of China.ORCID 0000-0002-1649-6624
Yunpeng BaiDepartment of Pharmacy, Shenzhen People's Hospital, The Second Clinical Medical College of Jinan University, The First Affiliated Hospital of Southern University of Science and Technology, Shenzhen, People's Republic of China.
Chunbo ChenDepartment of Critical Care Medicine, Shenzhen People's Hospital, The Second Clinical Medical College of Jinan University, The First Affiliated Hospital of Southern University of Science and Technology, Shenzhen, People's Republic of China.ORCID 0000-0001-5662-497X

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Purpose: To develop a population pharmacokinetics (PPK) model for polymyxin B (PB) in critically ill patients, and propose individualized dosing regimens. Methods: Blood samples were collected from intensive care unit (ICU) patients after the third or subsequent PB doses. The NONMEM software was used to construct a PPK model, with a focus on identifying key covariates influencing drug behavior. Patient-specific dosing strategies and probability of target attainment (PTA) were evaluated using Monte Carlo simulations. Results: A total of 56 ICU patients with 350 blood samples were included. A two-compartment model best described the data, with estimated glomerular filtration rate (eGFR) identified as a significant covariate on clearance (CL). The value of CL was 1.68 L/h. The estimated central compartment volume (V Conclusion: PB clearance is influenced by eGFR in critically ill patients. Higher MIC values or preserved renal function necessitate increased dosing. This study provides tailored dosing recommendations for ICU patients based on renal function and MIC.

Indexed as

Anti-Bacterial AgentsCritical IllnessModels, BiologicalPolymyxin BAgedDose-Response Relationship, DrugFemaleGlomerular Filtration RateHumansIntensive Care UnitsMaleMicrobial Sensitivity TestsMiddle AgedMonte Carlo MethodAnti-Bacterial AgentsPolymyxin Bdosage regimenICUpolymyxin Bpopulation pharmacokineticsrenal function

Identifiers

PMID41884482
PMCPMC13012298

What Socratic holds

Textmetadata
LicenceCC BY-NC
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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 Socratic graph.