Evidence map›Paper›PMID 19319484›Full record

ArticleJournal of pharmacokinetics and pharmacodynamics2009

Simultaneous optimal experimental design on dose and sample times.

Joakim Nyberg, Mats O Karlsson, Andrew C Hooker

Abstract read
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In one paragraph

Article in Journal of pharmacokinetics and pharmacodynamics, 2009. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed, 1 pooled it
–field-weighted citation impact
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

16 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
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  9. Optimizing disease progression study designs for drug effect discrimination.Journal of pharmacokinetics and pharmacodynamics · 2013
    Article
  10. Simultaneous optimal experimental design for in vitro binding parameter estimation.Journal of pharmacokinetics and pharmacodynamics · 2013
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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

3 authors.

Joakim NybergDepartment of Pharmaceutical Biosciences, Uppsala University, Sweden. Joakim.nyberg@farmbio.uu.se
Mats O Karlsson
Andrew C Hooker

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Optimal experimental design can be used for optimizing new pharmacokinetic (PK)-pharmacodynamic (PD) studies to increase the parameter precision. Several methods for optimizing non-linear mixed effect models has been proposed previously but the impact of optimizing other continuous design parameters, e.g. the dose, has not been investigated to a large extent. Moreover, the optimization method (sequential or simultaneous) for optimizing several continuous design parameters can have an impact on the optimal design. In the sequential approach the time and dose where optimized in sequence and in the simultaneous approach the dose and time points where optimized at the same time. To investigate the sequential approach and the simultaneous approach; three different PK-PD models where considered. In most of the cases the optimization method did change the optimal design and furthermore the precision was improved with the simultaneous approach.

Indexed as

Models, BiologicalModels, StatisticalPharmacokineticsResearch DesignAdministration, OralAlgorithmsComputer SimulationDose-Response Relationship, DrugInjections, IntravenousPharmaceutical PreparationsTheophyllineTime FactorsPharmaceutical PreparationsTheophylline

Identifiers

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.