ArticlePharmaceutical research2005
Data supplementation: a pharmacokinetic/pharmacodynamic knowledge creation approach for characterizing an unexplored region of the response surface.
Article in Pharmaceutical research, 2005. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
What it found
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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
1 citing paper in PubMed, 6 citations in OpenAlex.
- Parameter estimation for sigmoid ETranslational and clinical pharmacology · 2017Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
purposeTo develop a data supplementation [i.e., a pharmacokinetic/pharmacodynamics (PK/PD) knowledge creation] approach for generating supplemental data to be used in characterizing a targeted unexplored segment of the response surface.
methodsThe procedure for data supplementation can be summarized as follows: 1) statement of the objective of data supplementation for PK/PD knowledge creation, 2) performance of PK knowledge discovery, 3) PK data synthesis for target dose group(s), 4) covariate data synthesis for virtual subjects in the target dose group(s), 5) discovery of hidden knowledge from real data set to which supplemental data will be added, 6) implementation of a data supplementation methodology, and 7) discovery and communication of the created knowledge. A nonparametric approximate Bayesian multiple supplementation and its modification, structure-based multiple supplementation, which is an adaptation of the approximate Bayesian bootstrap, is proposed as a method of data supplementation for PK/PD knowledge creation. The structured-based multiple supplementation methodology was applied to characterize the effect of a target dose of 100 mg that was unexplored in a previously concluded study that investigated the effect of 200- and 600-mg doses on biomarker response.
resultsThe target dose of 100 mg was found to produce a response comparable with that of the 200 mg and better than that obtained with the 600 mg.
conclusionsImplementation of the PK/PD knowledge creation process through data supplementation resulted in gaining knowledge about a targeted region of a response surface (i.e., the effect of a target dose) that was not previously studied in a completed study without expending resources in conducting a new study.
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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.