Evidence map›Paper›PMID 36028591›Full record

ArticleArchives of pharmacal research2022

Physiologically based pharmacokinetic (PBPK) modeling of flurbiprofen in different CYP2C9 genotypes.

Sang-Sup Whang, Chang-Keun Cho, Eui Hyun Jung, Pureum Kang, Hye-Jung Park, Yun Jeong Lee, Chang-Ik Choi, Jung-Woo Bae, Hyung Sik Kim, Choon-Gon Jang and 1 more

Abstract read
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In one paragraph

Article in Archives of pharmacal research, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
2.1field-weighted citation impact, top 14% 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

10 citing papers in PubMed, 12 citations in OpenAlex.

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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

11 authors at 4 institutions in 1 country.

Sang-Sup Whang *School of Pharmacy, Sungkyunkwan University, Suwon, 16419, Republic of Korea.
Chang-Keun Cho *School of Pharmacy, Sungkyunkwan University, Suwon, 16419, Republic of Korea.
Eui Hyun JungSchool of Pharmacy, Sungkyunkwan University, Suwon, 16419, Republic of Korea.
Pureum KangSchool of Pharmacy, Sungkyunkwan University, Suwon, 16419, Republic of Korea.
Hye-Jung ParkSchool of Pharmacy, Sungkyunkwan University, Suwon, 16419, Republic of Korea.
Yun Jeong LeeCollege of Pharmacy, Dankook University, Cheonan, 31116, Republic of Korea.
Chang-Ik ChoiCollege of Pharmacy, Dongguk University-Seoul, Goyang, 10326, Republic of Korea.
Jung-Woo BaeCollege of Pharmacy, Keimyung University, Daegu, 42601, Republic of Korea. jwbae11@kmu.ac.kr.
Hyung Sik KimSchool of Pharmacy, Sungkyunkwan University, Suwon, 16419, Republic of Korea.
Choon-Gon JangSchool of Pharmacy, Sungkyunkwan University, Suwon, 16419, Republic of Korea.
Seok-Yong LeeSchool of Pharmacy, Sungkyunkwan University, Suwon, 16419, Republic of Korea. sylee@skku.edu.ORCID http://orcid.org/0000-0003-4162-1981
Sungkyunkwan University · KRDankook University · KRDongguk University · KRKeimyung University · KR

Funding

National Research Foundation NRF-2019R1A2C1004582
6 · The paper itself

Abstract

The aim of this study was to establish the physiologically based pharmacokinetic (PBPK) model of flurbiprofen related to CYP2C9 genetic polymorphism and describe the pharmacokinetics of flurbiprofen in different CYP2C9 genotypes. PK-Sim® software was used for the model development and validation. A total of 16 clinical pharmacokinetic data for flurbiprofen in different CYP2C9 genotypes, dose regimens, and age groups were used for the PBPK modeling. Turnover number (k

Indexed as

FlurbiprofenComputer SimulationCytochrome P-450 CYP2C9GenotypeModels, BiologicalCytochrome P-450 CYP2C9FlurbiprofenCYP2C9FlurbiprofenGenetic polymorphismPharmacokineticsPhysiologically based pharmacokinetic (PBPK) model

Identifiers

PMID36028591
OpenAlexW4293677456

What OpenQuestion holds

Textmetadata
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.