Evidence map›Paper›PMID 28018224›Full record

ArticleFrontiers in pharmacology2016

Prediction of Deoxypodophyllotoxin Disposition in Mouse, Rat, Monkey, and Dog by Physiologically Based Pharmacokinetic Model and the Extrapolation to Human.

Yang Chen, Kaijing Zhao, Fei Liu, Qiushi Xie, Zeyu Zhong, Mingxing Miao, Xiaodong Liu, Li Liu

Open access · goldAbstract read
In one paragraph

Article in Frontiers in pharmacology, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed, 1 pooled it
1.0field-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

10 citing papers in PubMed, 1 synthesis or guideline pooled it, 20 citations in OpenAlex.

  1. Pooled it
  2. Trial
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  7. An open-access data set of pig skin anatomy and physiology for modelling purposes.Database : the journal of biological databases and curation · 2022
    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

8 authors at 1 institution in 1 country.

Yang ChenCenter of Pharmacokinetics and Metabolism, College of Pharmacy, China Pharmaceutical University Nanjing, China.
Kaijing ZhaoCenter of Pharmacokinetics and Metabolism, College of Pharmacy, China Pharmaceutical University Nanjing, China.
Fei LiuCenter of Pharmacokinetics and Metabolism, College of Pharmacy, China Pharmaceutical University Nanjing, China.
Qiushi XieCenter of Pharmacokinetics and Metabolism, College of Pharmacy, China Pharmaceutical University Nanjing, China.
Zeyu ZhongCenter of Pharmacokinetics and Metabolism, College of Pharmacy, China Pharmaceutical University Nanjing, China.
Mingxing MiaoCenter of Pharmacokinetics and Metabolism, College of Pharmacy, China Pharmaceutical University Nanjing, China.
Xiaodong LiuCenter of Pharmacokinetics and Metabolism, College of Pharmacy, China Pharmaceutical University Nanjing, China.
Li LiuCenter of Pharmacokinetics and Metabolism, College of Pharmacy, China Pharmaceutical University Nanjing, China.
China Pharmaceutical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Deoxypodophyllotoxin (DPT) is a potential anti-tumor candidate prior to its clinical phase. The aim of the study was to develop a physiologically based pharmacokinetic (PBPK) model consisting of 13 tissue compartments to predict DPT disposition in mouse, rat, monkey, and dog based on

Indexed as

deoxypodophyllotoxininterspecies allometric scalingphysiologically based pharmacokinetic modelunbound fraction in plasmaunbound tissue-to-plasma concentration ratio

Identifiers

PMID28018224
PMCPMC5159431
OpenAlexW2562353105

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.