Evidence map›Paper›PMID 28097633›Full record

Trial reportDrugs & aging2017

Meropenem Dosing Based on a Population Pharmacokinetic-Pharmacodynamic Model in Elderly Patients with Infection of the Lower Respiratory Tract.

Qing-Tao Zhou, Bei He, Ning Shen, Ying Liang, Li-Na Sun

Registry-linked trialAbstract readRandomized Controlled Trial
PubMed Publisher
In one paragraph

Trial report in Drugs & aging, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT01944319 (Clinical Evaluation of a Meropenem Dosage Strategy Based on a Population Pharmacokinetic-pharmacodynamic Model in Lower Respiratory Tract Infection Patients), which is not on this map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
0.8field-weighted citation impact, top 29% 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.

NCT01944319 phase4completednot on this map

Clinical Evaluation of a Meropenem Dosage Strategy Based on a Population Pharmacokinetic-pharmacodynamic Model in Lower Respiratory Tract Infection Patients

TypeinterventionalSponsorQingtao ZhouRan2013 to 2015Enrolled79ConditionsLower Respiratory Tract InfectionArmsRoutine meropenem therapy, Meropenem therapy based on a PPK and PD model
3 · Its place in the literature

Who cites it

8 citing papers in PubMed, 14 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. How to Manage Pseudomonas aeruginosa Infections.Advances in experimental medicine and biology · 2022
    Article
  8. Considerations and Caveats in Combating ESKAPE Pathogens against Nosocomial Infections.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2020
    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

5 authors at 1 institution in 1 country.

Qing-Tao ZhouDepartment of Respiratory Medicine, Peking University Third Hospital, No. 49 North Garden Road., Haidian District, Beijing, 100191, China.
Bei HeDepartment of Respiratory Medicine, Peking University Third Hospital, No. 49 North Garden Road., Haidian District, Beijing, 100191, China. puh3_hb@bjmu.edu.cn.
Ning ShenDepartment of Respiratory Medicine, Peking University Third Hospital, No. 49 North Garden Road., Haidian District, Beijing, 100191, China.
Ying LiangDepartment of Respiratory Medicine, Peking University Third Hospital, No. 49 North Garden Road., Haidian District, Beijing, 100191, China.
Li-Na SunDepartment of Respiratory Medicine, Peking University Third Hospital, No. 49 North Garden Road., Haidian District, Beijing, 100191, China.
Peking University Third Hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundMeropenem is used for the treatment of severe lower respiratory tract infections (LRTIs) caused by multidrug-resistant Gram-negative bacilli.

objectiveWe evaluated the clinical benefits of a strategy of meropenem dosing based on a population pharmacokinetics/pharmacodynamics (PK/PD) model in elderly patients with an LRTI.

methodsIn this prospective single-center open-label randomized controlled trial, 79 elderly patients with an LRTI caused by Gram-negative bacilli were randomized to a study group (SG) or a control group (CG). The latter received meropenem according to a regimen decided by the attending physician. The SG received individualized meropenem therapy with a dosing strategy based on software developed from a meropenem population PK/PD model. The primary endpoint was clinical response to meropenem therapy. Secondary endpoints were the amount of antibiotics used and bacteriologic response.

resultsKlebsiella pneumoniae was the most common pathogen (32.9%), followed by Pseudomonas aeruginosa (30.4%) and Escherichia coli (17.7%). A total of 63 (79.7%) patients achieved clinical success. Prevalence of clinical success was significantly higher in the SG than in the CG (89.7 vs. 70.0%; p = 0.029). The daily dose of meropenem was significantly lower in the SG than in the CG (1.5 vs. 2.0 g; p = 0.017). A total of 52 (65.8%) patients experienced bacteriologic success, the median duration of meropenem therapy was 9 days, and the median total dose of meropenem was 18.0 g. There were no significant differences between the groups in these parameters.

conclusionsA strategy for meropenem dosing based on a population PK/PD model can improve clinical response and avoid overtreatment in elderly patients with an LRTI. ClinicalTrials.gov registration number NCT01944319.

Indexed as

Models, BiologicalAgedAnti-Bacterial AgentsDrug Resistance, Multiple, BacterialFemaleGram-Negative Bacterial InfectionsHumansMaleMeropenemMiddle AgedProspective StudiesRespiratory SystemRespiratory Tract InfectionsThienamycinsTreatment OutcomeAnti-Bacterial AgentsMeropenemThienamycins

Identifiers

PMID28097633
OpenAlexW2574509122

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

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.