Evidence map›Paper›PMID 35456587›Full record

ArticlePharmaceutics2022

Model-Informed Precision Dosing of Linezolid in Patients with Drug-Resistant Tuberculosis.

Laurynas Mockeliunas, Lina Keutzer, Marieke G G Sturkenboom, Mathieu S Bolhuis, Lotte M G Hulskotte, Onno W Akkerman, Ulrika S H Simonsson

Abstract read
In one paragraph

Article in Pharmaceutics, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing 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

9 citing papers in PubMed.

  1. Trial
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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

7 authors.

Laurynas MockeliunasDepartment of Pharmaceutical Biosciences, Uppsala University, 75124 Uppsala, Sweden.
Lina KeutzerDepartment of Pharmaceutical Biosciences, Uppsala University, 75124 Uppsala, Sweden.
Marieke G G SturkenboomDepartment of Clinical Pharmacy and Pharmacology, University Medical Center Groningen, University of Groningen, 9713 GZ Groningen, The Netherlands.ORCID 0000-0002-3420-0591
Mathieu S BolhuisDepartment of Clinical Pharmacy and Pharmacology, University Medical Center Groningen, University of Groningen, 9713 GZ Groningen, The Netherlands.
Lotte M G HulskotteDepartment of Clinical Pharmacy and Pharmacology, University Medical Center Groningen, University of Groningen, 9713 GZ Groningen, The Netherlands.
Onno W AkkermanDepartment of Pulmonary Diseases and Tuberculosis, University Medical Center Groningen, University of Groningen, 9713 GZ Groningen, The Netherlands.ORCID 0000-0001-5638-9260
Ulrika S H SimonssonDepartment of Pharmaceutical Biosciences, Uppsala University, 75124 Uppsala, Sweden.ORCID 0000-0002-3424-9686

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Linezolid is an efficacious medication for the treatment of drug-resistant tuberculosis but has been associated with serious safety issues that can result in treatment interruption. The objectives of this study were thus to build a population pharmacokinetic model and to use the developed model to establish a model-informed precision dosing (MIPD) algorithm enabling safe and efficacious dosing in patients with multidrug- and extensively drug-resistant tuberculosis. Routine hospital therapeutic drug monitoring data, collected from 70 tuberculosis patients receiving linezolid, was used for model development. Efficacy and safety targets for MIPD were the ratio of unbound area under the concentration versus time curve between 0 and 24 h over minimal inhibitory concentration (

Indexed as

auto-inhibition of linezolid eliminationlinezolidmodel-informed precision dosingpopulation pharmacokineticssimulationtuberculosis

Identifiers

PMID35456587
PMCPMC9032906

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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.