Evidence map›Paper›PMID 21707309›Full record

ArticleFuture microbiology2011

Relationship between pharmacodynamic indices and killing patterns in vitro.

Johan W Mouton

Abstract readComment
PubMed Publisher
In one paragraph

Article in Future microbiology, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–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

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

1 author.

Johan W MoutonDepartment of Medical Microbiology, Radboud University Nijmegen Medical Center, Nijmegen, The Netherlands. jwmouton@gmail.com

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Antimicrobial agents are conventionally categorized in three classes based on their pharmacokinetic/pharmacodynamic properties, based on their exposure response relationship in vivo with either area under the concentration-time curve, C(max) or T>MIC. Alternatively, they are often categorized as 'concentration dependent' and 'concentration independent' (or time dependent), based on their in vitro kill kinetics. However, both of these classifications are arbitrary at best. Various classes of drugs display different modes of action and in reality there is a whole spectrum of pharmacokinetic/pharmacodynamic characteristics. Whereas the relationship between in vitro kill kinetics and in vivo exposure response relationships has been demonstrated in the past, methods were cumbersome and the results of such studies were not always easy to grasp. In the study, Tam and Nikolaou develop a framework by defining the average kill rate D during a dosing interval based on in vitro kill kinetics and correlate that with dosing regimen design as well as dose. They show, in an easy-to-grasp manner, what these correlations entail and the impact of killing characteristics on pharmacodynamic behavior in vivo. They conclude that their framework could be used in drug development to predict efficacy in vivo and the effect of changing doses and dosing regimens can be used as a tool in decision support.

Identifiers

PMID21707309

What OpenQuestion holds

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Registered trials

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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.