Evidence map›Paper›PMID 41845154›Full record

ArticleClinical pharmacokinetics2026

Single Saliva Sample Linezolid Dosing for Multidrug-Resistant Tuberculosis: A Population Pharmacokinetic Modelling of Plasma and Saliva.

Thi A Nguyen, Tri P Nguyen, Anh T Nguyen, Luong V Dinh, Hoa B Nguyen, Hoa D Vu, Tram N B Nguyen, Dang Vu, Greg J Fox, Jan-Willem C Alffenaar and 1 more

Abstract read
In one paragraph

Article in Clinical pharmacokinetics, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

11 authors.

Thi A NguyenSydney Pharmacy School, Faculty of Medicine and Health, Pharmacy Building (A15), The University of Sydney, Sydney, NSW, 2006, Australia.ORCID 0000-0002-8508-8990
Tri P NguyenHo Chi Minh City University of Technology, Ho Chi Minh City, Vietnam.ORCID 0000-0001-5531-0223
Anh T NguyenFaculty of Medicine and Health, The University of Sydney, Sydney, NSW, Australia.
Luong V DinhNational Lung Hospital, Hanoi, Vietnam.
Hoa B NguyenNational Lung Hospital, Hanoi, Vietnam.
Hoa D VuNational Drug Information and Adverse Drug Reactions Monitoring Centre, Hanoi University of Pharmacy, Hanoi, Vietnam.ORCID 0000-0002-7976-6716
Tram N B NguyenThe University of Sydney Vietnam Institute, Ho Chi Minh City, Vietnam.
Dang VuThe University of Sydney Vietnam Institute, Ho Chi Minh City, Vietnam.
Greg J FoxFaculty of Medicine and Health, The University of Sydney, Sydney, NSW, Australia.ORCID 0000-0002-4085-1411
Jan-Willem C AlffenaarSydney Pharmacy School, Faculty of Medicine and Health, Pharmacy Building (A15), The University of Sydney, Sydney, NSW, 2006, Australia.ORCID 0000-0001-6703-0288
Sophie L StockerSydney Pharmacy School, Faculty of Medicine and Health, Pharmacy Building (A15), The University of Sydney, Sydney, NSW, 2006, Australia. sophie.stocker@sydney.edu.au.ORCID 0000-0002-2114-587X

Funding

National Health and Medical Research Council APP1153493National Health and Medical Research Council APP1157643National Health and Medical Research Council APP2007920
6 · The paper itself

Abstract

BACKGROUND AND

objectiveTherapeutic drug monitoring (TDM) of linezolid for treating multidrug-resistant tuberculosis (MDR-TB) is recommended but is hindered by the invasive and logistical challenges of plasma sampling. Saliva is a promising alternative, but a saliva pharmacokinetic model to inform dosing is lacking. This study aimed to develop a saliva-based population pharmacokinetic (popPK) model and evaluate limited sampling strategies for linezolid in MDR-TB.

methodsPlasma and saliva samples were collected at pre-dose, 2-, and 5-h post-dose from adults treated with linezolid for ≥ 7 days. A saliva-plasma popPK model was developed in NONMEM with covariate analysis. Bayesian estimation and Monte Carlo simulations were used to evaluate the predictive performance of saliva limited sampling strategies for predicting plasma AUC

resultsOne-compartment plasma model incorporating a saliva hypothetical effect compartment with first-order absorption and elimination best described the data (102 paired saliva-plasma samples, 17 patients). Body weight influenced volume of distribution with an exponent of 1.1 (95% CI 1.01-1.18). The three-sample (pre-dose, 2-, and 5-h) saliva strategy adequately predicted plasma AUC

conclusionsThe validated model enables reliable estimation of plasma AUC

Indexed as

Antitubercular AgentsLinezolidModels, BiologicalSalivaTuberculosis, Multidrug-ResistantAdultArea Under CurveBayes TheoremDrug MonitoringFemaleHumansMaleMiddle AgedMonte Carlo MethodYoung AdultAntitubercular AgentsLinezolid

Identifiers

PMID41845154
PMCPMC13183732

What Socratic holds

Textmetadata
LicenceCC BY-NC
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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 Socratic graph.