Evidence map›Paper›PMID 34575565›Full record

ArticlePharmaceutics2021

Prediction of Drug-Drug Interaction Potential of Tegoprazan Using Physiologically Based Pharmacokinetic Modeling and Simulation.

Deok Yong Yoon, SeungHwan Lee, In-Jin Jang, Myeongjoong Kim, Heechan Lee, Seokuee Kim, Bongtae Kim, Geun Seog Song, Su-Jin Rhee

Abstract read
In one paragraph

Article in Pharmaceutics, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing 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

11 citing papers in PubMed.

  1. Article
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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.

Deok Yong YoonDepartment of Clinical Pharmacology and Therapeutics, College of Medicine and Hospital, Seoul National University, Seoul 03080, Korea.ORCID 0000-0002-5281-8811
SeungHwan LeeDepartment of Clinical Pharmacology and Therapeutics, College of Medicine and Hospital, Seoul National University, Seoul 03080, Korea.
In-Jin JangDepartment of Clinical Pharmacology and Therapeutics, College of Medicine and Hospital, Seoul National University, Seoul 03080, Korea.
Myeongjoong KimDivision of Clinical Development, HK inno.N Corporation, Seoul 04551, Korea.
Heechan LeeDivision of Clinical Development, HK inno.N Corporation, Seoul 04551, Korea.ORCID 0000-0001-6641-5127
Seokuee KimDivision of Clinical Development, HK inno.N Corporation, Seoul 04551, Korea.
Bongtae KimDivision of Clinical Development, HK inno.N Corporation, Seoul 04551, Korea.
Geun Seog SongDivision of Clinical Development, HK inno.N Corporation, Seoul 04551, Korea.
Su-Jin RheeDepartment of Pharmacy, College of Pharmacy, Wonkwang University, Iksan 54538, Korea.ORCID 0000-0002-4010-0837

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This study aimed to develop a physiologically based pharmacokinetic (PBPK) model of tegoprazan and to predict the drug-drug interaction (DDI) potential between tegoprazan and cytochrome P450 (CYP) 3A4 perpetrators. The PBPK model of tegoprazan was developed using SimCYP Simulator

Indexed as

CYP3A4drug–drug interactionphysiologically based pharmacokineticspotassium-competitive acid blockertegoprazan

Identifiers

PMID34575565
PMCPMC8464955

What OpenQuestion holds

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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.