Evidence map›Paper›PMID 30569284›Full record

ArticleEuropean journal of clinical pharmacology2019

Interethnic scaling of fraction unbound of a drug in plasma and volume of distribution: an analysis of extrapolation from Caucasians to Chinese.

Guo Yu, Hong-Hao Zhou, Qing-Shan Zheng, Guo-Fu Li

Abstract read
PubMed Publisher
In one paragraph

Article in European journal of clinical pharmacology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed, 1 pooled it
1.2field-weighted citation impact, top 21% 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

5 citing papers in PubMed, 1 synthesis or guideline pooled it, 9 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Article
  4. How to Handle Delayed or Missed Doses: A Population Pharmacokinetic Perspective.European journal of drug metabolism and pharmacokinetics · 2020
    Review
  5. Is Cystatin C Good Enough as a Biomarker for Vancomycin Dosing: A Pharmacokinetic Perspective.European journal of drug metabolism and pharmacokinetics · 2020
    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

4 authors at 2 institutions in 2 countries.

Guo YuNational Institution of Drug Clinical Trial, Subei People's Hospital, Yangzhou, Jiangsu, China.
Hong-Hao ZhouDepartment of Clinical Pharmacology, Xiangya Hospital, Central South University, Changsha, Hunan, China.
Qing-Shan ZhengCenter for Drug Clinical Research, Shanghai University of Chinese Medicine, Shanghai, China.
Guo-Fu LiNational Institution of Drug Clinical Trial, Subei People's Hospital, Yangzhou, Jiangsu, China. guofu.g.li@gmail.com.ORCID http://orcid.org/0000-0002-4628-9941
Central South University · CNShanghai University · CN

Funding

National Natural Science Foundation of China 81603209
6 · The paper itself

Abstract

purposeProspective prediction of pharmacokinetic properties for individuals of different ethnic groups could provide useful information for the design of multiregional clinical trials. The accuracy of interethnic scaling of fraction unbound (f

methodsThis study assessed the interethnic scaling of f

resultsThe interethnic extrapolation approach of f

conclusionThe current study verified for the first time the ability to scale Chinese f

Indexed as

Asian PeopleModels, BiologicalWhite PeopleAdultBiological AvailabilityBlood ProteinsGlycoproteinsHumansMaleMiddle AgedOrosomucoidPharmaceutical PreparationsPharmacokineticsProspective StudiesProtein BindingYoung AdultBlood ProteinsGlycoproteinsOrosomucoidPharmaceutical PreparationsClinical pharmacokineticsFraction unboundHealthy subjectsInterethnic scalingVolume of distribution

Identifiers

PMID30569284
OpenAlexW2904010303

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.