Evidence map›Paper›PMID 38975089›Full record

ArticleHeliyon2024

Application of Monte Carlo simulation to optimise the dosage regimen of meropenem in patients with augmented renal clearance for

Jia Hou, Min Zhang, Shu-Qing Ma, Ri-Nan Cong, Jin-Feng Li

Abstract read
In one paragraph

Article in Heliyon, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Article
  3. 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.

Jia HouDepartment of Pharmacy, Weihai Municipal Hospital, Cheeloo College of Medicine, Shandong University, Weihai, 264200, China.
Min ZhangDepartment of Clinical Laboratory, Weihai Municipal Hospital, Cheeloo College of Medicine, Shandong University, Weihai, 264200, China.
Shu-Qing MaDepartment of Central Laboratory, Weihai Municipal Hospital, Cheeloo College of Medicine, Shandong University, Weihai, 264200, China.
Ri-Nan CongDepartment of Pharmacy, Weihai Municipal Hospital, Cheeloo College of Medicine, Shandong University, Weihai, 264200, China.
Jin-Feng LiDepartment of Pharmacy, Weihai Municipal Hospital, Cheeloo College of Medicine, Shandong University, Weihai, 264200, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: To optimise the dosing regimen of meropenem for treating Methods: This research involves an MCS based on PK data from patients with ARC and a minimum inhibitory concentration (MIC) distribution of PA. This study simplifies the methods section, focusing on the critical aspects of simulation and target values for effective treatment. Results: The study highlights key findings and emphasises that tailored dosing based on bacterial MIC values is essential for patients with ARC. It also notes that empirical treatment in patients with ARC should consider the MIC distribution, with 2 g every (q) 6 h administered to achieve the PK/PD target, while 3 g q 6 h is effective in inhibiting resistance. Conclusion: Tailored dosing based on bacterial MIC values is crucial for patients with ARC. Prolonged infusion time alone does not enhance efficacy. Empirical treatment in patients with ARC should consider MIC distribution; a dosage of 2 g q 6 h achieves the PK/PD target, while 3 g q 6 h (≥12 g daily) inhibits resistance.

Indexed as

Augmented renal clearanceMeropenemMonte Carlo simulationPharmacokinetic/pharmacodynamicPseudomonas aeruginosa

Identifiers

PMID38975089
PMCPMC11225735

What OpenQuestion holds

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Registered trials

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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.