ArticleEuropean journal of drug metabolism and pharmacokinetics
Allometric prediction of the human pharmacokinetic parameters for naveglitazar.
Article in European journal of drug metabolism and pharmacokinetics. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.
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.
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.
Who cites it
3 citing papers in PubMed.
- Intravenous prediction of human pharmacokinetic parameters for ketorolac, a non-steroidal anti-inflammatory agent, using allometry approach.European journal of drug metabolism and pharmacokinetics · 2011Article
- Application of allometry principles for the prediction of human pharmacokinetic parameters for irbesartan, a AT1 receptor antagonist, from animal data.European journal of drug metabolism and pharmacokineticsArticle
- Use of bile correction factors for allometric prediction of human pharmacokinetic parameters of torcetrapib, a facile cholesteryl ester transfer protein inhibitor.European journal of drug metabolism and pharmacokineticsArticle
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
2 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Compounds that belong to the class known as dual (alpha,gamma) peroxisome proliferator-activated receptors (PPARs) show interesting pharmacological properties--regulation of blood glucose, fatty acids, and lipid parameters. Using the recently published preclinical data of naveglitazar, an allometric method was used to predict the human pharmacokinetic parameters (CL/F and Vss/F). The predicted parameters were compared to observed/predicted values of other important dual (a,y) PPAR compounds. The allometry data suggested that naviglitazar (CL/F) was at least 4 times faster than that of ragaglitazar, while the Vss was either equal to or 40% lower as compared to that of ragaglitazar.
Indexed as
Identifiers
19007045What OpenQuestion holds
Registered trials
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.