Evidence map›Paper›PMID 37712488›Full record

ArticleClinical and translational science2023

Application of a physiologically based pharmacokinetic model to predict isoniazid disposition during pregnancy.

Ogochukwu U Amaeze, Nina Isoherranen

Open access · goldAbstract read
In one paragraph

Article in Clinical and translational science, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
4.6field-weighted citation impact, top 5% 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

7 citing papers in PubMed, 8 citations in OpenAlex.

  1. Article
  2. Review
  3. Article
  4. Precision Medicine Strategies to Improve Isoniazid Therapy in Patients with Tuberculosis.European journal of drug metabolism and pharmacokinetics · 2024
    Review
  5. Review
  6. Article
  7. Article
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

2 authors at 1 institution in 1 country.

Ogochukwu U AmaezeDepartment of Pharmaceutics, University of Washington, School of Pharmacy, Seattle, Washington, USA.ORCID 0000-0003-3348-7700
Nina IsoherranenDepartment of Pharmaceutics, University of Washington, School of Pharmacy, Seattle, Washington, USA.ORCID 0000-0002-9548-3126
University of Washington · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Pregnancy can increase the risk of latent tuberculosis infection (LTBI) progression to tuberculosis (TB) disease. Isoniazid (INH) is the preferred preventative treatment for LTBI in pregnancy. INH is mainly cleared by N-acetyltransferase 2 (NAT2) but the pharmacokinetics (PK) of INH in different NAT2 phenotypes during pregnancy is not well characterized. To address this knowledge gap, we used physiologically based pharmacokinetic (PBPK) modeling to evaluate NAT2 phenotype-specific effects of pregnancy on INH disposition. A whole-body PBPK model for INH was developed and verified for non-pregnant NAT2 fast (FA), intermediate (IA), and slow (SA) acetylators. Model predictive performance was assessed using a drug-specific model acceptance criterion for mean plasma area under the curve (AUC) and peak plasma concentration (C

Indexed as

Arylamine N-AcetyltransferaseTuberculosisAntitubercular AgentsFemaleGenotypeHumansIsoniazidPhenotypePregnancyAntitubercular AgentsArylamine N-AcetyltransferaseIsoniazidNAT2 protein, human

Identifiers

PMID37712488
PMCPMC10651660
OpenAlexW4386756969

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.