Evidence map›Paper›PMID 15346850›Full record

ArticleJournal of pharmacokinetics and pharmacodynamics2004

A method of obtaining starting values of k(in) and k(out) for the indirect response models.

Debu Mukherjee, Matthew M Hutmacher

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Article in Journal of pharmacokinetics and pharmacodynamics, 2004. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

2 authors.

Debu MukherjeeSystem Inc., 659 Dunham Rd., Gurnee, IL 60031, USA. dmukherjee@statsystem.net
Matthew M Hutmacher

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

A method based on the multivariate technique known as principal component analysis is proposed to obtain starting values for the rate constants of indirect response models. The method is not iterative and only requires standard deviation calculations for two quantities, which are simple functions of the measured pharmacodynamic response. An algorithm is provided which can be implemented in a spreadsheet. The methodology is justified theoretically herein, nevertheless, two examples are provided to illustrate the method and demonstrate its viability.

Indexed as

Models, BiologicalPharmacokineticsPrincipal Component AnalysisAlgorithmsAnimalsHumansPharmacologyTime Factors

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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.