Evidence map›Paper›PMID 41610100›Full record

ArticlePloS one2026

Population pharmacokinetics model of pyrazinamide to optimize tuberculosis treatment: An interethnic cohort study of diabetes mellitus effect on drug exposure.

Rannissa Puspita Jayanti, Yong-Soon Cho, Soedarsono Soedarsono, Hyo-Jung Kim, Jiyeon Kang, Jehun Kim, Jee Youn Oh, Bo Hyoung Kang, Jick Hwan Ha, Jin-Woo Kim and 10 more

Erratum issuedAbstract read
In one paragraph

Article in PloS one, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

20 authors.

Rannissa Puspita JayantiCenter for Personalized Precision Medicine of Tuberculosis, Inje University College of Medicine, Busan, Republic of Korea.ORCID https://orcid.org/0000-0002-9101-1965
Yong-Soon ChoCenter for Personalized Precision Medicine of Tuberculosis, Inje University College of Medicine, Busan, Republic of Korea.ORCID https://orcid.org/0000-0003-1424-1123
Soedarsono SoedarsonoSub-Pumonology Department of Internal Medicine, Faculty of Medicine, Hang Tuah University, Surabaya, Indonesia.ORCID https://orcid.org/0000-0001-7317-5619
Hyo-Jung KimDivision of Pulmonology, Department of Internal Medicine, Inje University Haeundae Paik Hospital, Busan, Republic of Korea.
Jiyeon KangDepartment of Internal Medicine, Inje University Ilsan Paik Hospital, Goyang, Republic of Korea.
Jehun KimPulmonary Division, Department of Internal Medicine, Kosin University Gospel Hospital, Busan, Republic of Korea.
Jee Youn OhDivision of Pulmonology, Department of Internal Medicine, Korea University Guro Hospital, Seoul, Republic of Korea.
Bo Hyoung KangDivision of Pulmonology, Department of Internal Medicine, Dong-A University Hospital, Busan, Republic of Korea.
Jick Hwan HaDivision of Pulmonary and Critical Care Medicine, Department of Internal Medicine, Incheon St. Mary's Hospital, College of Medicine, The Catholic University of Korea, Seoul, Republic of Korea.
Jin-Woo KimDepartment of Internal Medicine, Uijeongbu St. Mary's Hospital, College of Medicine, The Catholic University of Korea, Seoul, Republic of Korea.
Ni Made MertaniasihDepartment of Pulmonology and Respiratory Medicine, Faculty of Medicine, Universitas Airlangga, Surabaya, Indonesia.
Tutik KusmiatiDepartment of Pulmonology and Respiratory Medicine, Faculty of Medicine, Universitas Airlangga, Surabaya, Indonesia.ORCID https://orcid.org/0009-0001-0487-4763
Ariani PermatasariDepartment of Pulmonology and Respiratory Medicine, Faculty of Medicine, Universitas Airlangga, Surabaya, Indonesia.
Rika YuliwulandariFaculty of Medicine, University of Pembangunan Nasional Veteran Jawa Timur, Surabaya, Indonesia.
Ryunha KimCenter for Personalized Precision Medicine of Tuberculosis, Inje University College of Medicine, Busan, Republic of Korea.
Hyeon-Jeong SeongCenter for Personalized Precision Medicine of Tuberculosis, Inje University College of Medicine, Busan, Republic of Korea.ORCID https://orcid.org/0009-0003-0087-631X
Jong-Lyul GhimCenter for Personalized Precision Medicine of Tuberculosis, Inje University College of Medicine, Busan, Republic of Korea.
Dong-Hyun KimCenter for Personalized Precision Medicine of Tuberculosis, Inje University College of Medicine, Busan, Republic of Korea.
Jae-Gook ShinCenter for Personalized Precision Medicine of Tuberculosis, Inje University College of Medicine, Busan, Republic of Korea.
cPMTb

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Diabetes mellitus (DM), a common comorbidity in tuberculosis (TB) patients, can alter the pharmacokinetics (PK) of TB drugs. Additionally, clinical and demographic differences may contribute to interethnic PK variability. However, current WHO-recommended doses for pyrazinamide (PZA) do not account for those factors. We aimed to evaluate factors related to interindividual variability (IIV) and interethnic differences in the PK of PZA between Korean and Indonesian patients with TB. Demographics, clinical characteristics, and PZA concentrations obtained from hospitals in both countries were used for model establishment. Population PK models were developed using the nonlinear mixed-effect method. A Monte Carlo simulation was performed sequentially to evaluate optimal PZA dosing strategies. A one-compartment model with allometric scaling adequately described the PK of PZA. Internal validation of the model showed good performance. No significant interethnic differences in PK parameters were observed. There were 23% and 26% increases in apparent clearance (CL/F) of Indonesian patients with DM (CL/F 3.18 L/h) and Korean patients aged > 60 years with DM (CL/F 3.5). PZA doses of 1000-1250 mg for patients of bodyweight < 40 kg and 1250 mg for older patients with DM in this weight band had a 90% probability of attaining the target AUC0-24 ≥ 363 mg·h/L These findings indicate that DM strongly influenced IIV, particularly in older patients. We recommend higher PZA doses for patients <40 kg and older patients with DM in this weight band. Our model provides a basis for implementing model-informed precision dosing-based therapeutic drug monitoring in both ethnicities.

Indexed as

Antitubercular AgentsDiabetes MellitusPyrazinamideTuberculosisAdultAgedCohort StudiesFemaleHumansIndonesiaMaleMiddle AgedModels, BiologicalMonte Carlo MethodRepublic of KoreaAntitubercular AgentsPyrazinamide

Identifiers

PMID41610100
PMCPMC12854426

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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.