Evidence map›Paper›PMID 34871092›Full record

ArticleAntimicrobial agents and chemotherapy2022

Combination of Pharmacokinetic and Pathogen Susceptibility Information To Optimize Meropenem Treatment of Gram-Negative Infections in Critically Ill Patients.

Uwe Liebchen, Ferdinand Weinelt, Christina Scharf, Ines Schroeder, Michael Paal, Michael Zoller, Charlotte Kloft, Jette Jung, Robin Michelet

Open access · greenAbstract read
In one paragraph

Article in Antimicrobial agents and chemotherapy, 2022. 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
1.0field-weighted citation impact, top 24% 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

6 citing papers in PubMed, 8 citations in OpenAlex.

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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

9 authors at 4 institutions in 1 country.

Uwe Liebchen *Department of Anaesthesiology, University Hospital, LMU Munich, Munich, Germany.ORCID 0000-0002-4375-0923
Ferdinand Weinelt *Department of Clinical Pharmacy and Biochemistry, Institute of Pharmacy, Freie Universität Berlin, Berlin, Germany.ORCID 0000-0003-3024-3890
Christina ScharfDepartment of Anaesthesiology, University Hospital, LMU Munich, Munich, Germany.
Ines SchroederDepartment of Anaesthesiology, University Hospital, LMU Munich, Munich, Germany.ORCID 0000-0002-7060-3785
Michael PaalInstitute of Laboratory Medicine, University Hospital, LMU Munich, Munich, Germany.
Michael ZollerDepartment of Anaesthesiology, University Hospital, LMU Munich, Munich, Germany.
Charlotte KloftDepartment of Clinical Pharmacy and Biochemistry, Institute of Pharmacy, Freie Universität Berlin, Berlin, Germany.
Jette Jung *Max-von-Pettenkofer-Institute Munich, Ludwig Maximilian University, Munich, Germany.
Robin Michelet *Department of Clinical Pharmacy and Biochemistry, Institute of Pharmacy, Freie Universität Berlin, Berlin, Germany.ORCID 0000-0002-5485-607X
LMU Klinikum · DEFreie Universität Berlin · DELudwig-Maximilians-Universität München · DEUniversity of Potsdam · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Meropenem is one of the most frequently used antibiotics to treat life-threatening infections in critically ill patients. This study aimed to develop a meropenem dosing algorithm for the treatment of Gram-negative infections based on intensive care unit (ICU)-specific resistance data. Antimicrobial susceptibility testing of Gram-negative bacteria obtained from critically ill patients was carried out from 2016 to 2020 at a tertiary care hospital. Based on the observed MIC distribution, stochastic simulations (

Indexed as

Anti-Bacterial AgentsCritical IllnessGram-Negative BacteriaHumansMeropenemMicrobial Sensitivity TestsAnti-Bacterial AgentsMeropenemantimicrobial susceptibility testingcritically illdosing algorithmGram negativemeropenem

Identifiers

PMID34871092
PMCPMC8846453
OpenAlexW4200212505

What OpenQuestion holds

Textmetadata
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.