Evidence map›Paper›PMID 15616298›Full record

ArticleAntimicrobial agents and chemotherapy2005

Pharmacodynamic modeling of ciprofloxacin resistance in Staphylococcus aureus.

Jeffrey J Campion, Patrick J McNamara, Martin E Evans

Abstract read
In one paragraph

Article in Antimicrobial agents and chemotherapy, 2005. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 26 papers.

0numbers the graph read from it
0cells of the map it votes in
26citing papers in PubMed
2.8field-weighted citation impact, top 10% of its field
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

26 citing papers in PubMed, 59 citations in OpenAlex.

  1. Article
  2. Review
  3. Article
  4. Article
  5. Article
  6. Generating Robust and Informative NonclinicalAntimicrobial agents and chemotherapy · 2019
    Review
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. Mathematical modeling to characterize the inoculum effect.Antimicrobial agents and chemotherapy · 2010
    Article
  19. Article
  20. Article
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 at 1 institution in 1 country.

Jeffrey J CampionDivision of Infectious Diseases, Department of Internal Medicine, Room MN672, University of Kentucky Medical Center, 800 Rose St., Lexington, KY 40536-0298, USA.
Patrick J McNamara
Martin E Evans
University of Kentucky · US

Funding

Optimizing dosing to prevent antibiotic resistanceR01GM066072 · NIGMS · UNIVERSITY OF KENTUCKY · PI EVANS, MARTIN E · 2002 to 2005
$1.1M
NIGMS NIH HHS GM-066072NIGMS NIH HHS R01 GM066072
6 · The paper itself

Abstract

Three pharmacodynamic models of increasing complexity, designed for two subpopulations of bacteria with different susceptibilities, were developed to describe and predict the evolution of resistance to ciprofloxacin in Staphylococcus aureus by using pharmacokinetic, viable count, subpopulation, and resistance mechanism data obtained from in vitro system experiments. A two-population model with unique growth and killing rate constants for the ciprofloxacin-susceptible and -resistant subpopulations best described the initial killing and subsequent regrowth patterns observed. The model correctly described the enrichment of subpopulations with low-level resistance in the parent cultures but did not identify a relationship between the time ciprofloxacin concentrations were in the mutant selection window (the interval between the MIC and the mutant prevention concentration) and the enrichment of these subpopulations. The model confirmed the importance of resistant variants to the emergence of resistance by successfully predicting that resistant subpopulations would not emerge when a low-density culture, with a low probability of mutants, was exposed to a clinical dosing regimen or when a high-density culture, with a higher probability of mutants, was exposed to a transient high initial concentration designed to rapidly eradicate low-level resistant grlA mutants. The model, however, did not predict or explain the origin of variants with higher levels of resistance that appeared and became the predominant subpopulation during some experiments or the persistence of susceptible bacteria in other experiments where resistance did not emerge. Continued evaluation of the present two-population pharmacodynamic model and development of alternative models is warranted.

Indexed as

Drug Resistance, BacterialAnti-Infective AgentsArea Under CurveCiprofloxacinColony Count, MicrobialCulture MediaMicrobial Sensitivity TestsModels, BiologicalMutationStaphylococcus aureusStochastic ProcessesAnti-Infective AgentsCiprofloxacinCulture Media

Identifiers

PMID15616298
PMCPMC538881
OpenAlexW2154051238

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.