Evidence map›Paper›PMID 29054967›Full record

ArticleBioscience reports2017

Prediction of cytochrome P450-mediated drug clearance in humans based on the measured activities of selected CYPs.

Jie Gao, Jie Wang, Na Gao, Xin Tian, Jun Zhou, Yan Fang, Hai-Feng Zhang, Qiang Wen, Lin-Jing Jia, Dan Zou and 1 more

Open access · goldAbstract read
In one paragraph

Article in Bioscience reports, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
3.0field-weighted citation impact, top 10% 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

6 citing papers in PubMed, 16 citations in OpenAlex.

  1. Article
  2. Unravelling the pharmacokinetics of aflatoxin B1:Frontiers in microbiology · 2022
    Article
  3. Review
  4. Article
  5. Review
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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 2 institutions in 1 country.

Jie GaoInstitute of Clinical Pharmacology, Zhengzhou University, Zhengzhou, China.
Jie WangInstitute of Clinical Pharmacology, Zhengzhou University, Zhengzhou, China.
Na GaoInstitute of Clinical Pharmacology, Zhengzhou University, Zhengzhou, China.
Xin TianInstitute of Clinical Pharmacology, Zhengzhou University, Zhengzhou, China.
Jun ZhouInstitute of Clinical Pharmacology, Zhengzhou University, Zhengzhou, China.
Yan FangInstitute of Clinical Pharmacology, Zhengzhou University, Zhengzhou, China.
Hai-Feng ZhangInstitute of Clinical Pharmacology, Zhengzhou University, Zhengzhou, China.
Qiang WenInstitute of Clinical Pharmacology, Zhengzhou University, Zhengzhou, China.
Lin-Jing JiaInstitute of Clinical Pharmacology, Zhengzhou University, Zhengzhou, China.
Dan ZouDepartment of Histology and Embryology, Henan Medical College, Zhengzhou, China qiaohl@zzu.edu.cn zd6986@sina.com.
Hai-Ling QiaoInstitute of Clinical Pharmacology, Zhengzhou University, Zhengzhou, China qiaohl@zzu.edu.cn zd6986@sina.com.
Zhengzhou University · CNNanyang Medical College · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Determining drug-metabolizing enzyme activities on an individual basis is an important component of personalized medicine, and cytochrome P450 enzymes (CYPs) play a principal role in hepatic drug metabolism. Herein, a simple method for predicting the major CYP-mediated drug clearance

Indexed as

PharmacokineticsAdultAgedAged, 80 and overBayes TheoremCytochrome P-450 Enzyme SystemFemaleHumansLiverMaleMicrosomes, LiverMiddle AgedModels, BiologicalPharmaceutical PreparationsPrimary Cell CultureStatistics, NonparametricCytochrome P-450 Enzyme SystemPharmaceutical Preparationscytochrome P450 enzymesdrug clearancein vitroin vivo

Identifiers

PMID29054967
PMCPMC5696450
OpenAlexW2767028615

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.