Evidence map›Paper›PMID 18544596›Full record

ReviewThe Journal of antimicrobial chemotherapy2008

A unified anti-mutant dosing strategy.

Xilin Zhao, Karl Drlica

Abstract readReview
In one paragraph

Review in The Journal of antimicrobial chemotherapy, 2008. 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
–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

26 citing papers in PubMed.

  1. Article
  2. Article
  3. Review
  4. Article
  5. Article
  6. Article
  7. Review
  8. CD101: a novel long-acting echinocandin.Cellular microbiology · 2016
    Article
  9. Article
  10. Review
  11. Article
  12. Article
  13. Article
  14. Testing the mutant selection window hypothesis with Escherichia coli exposed to levofloxacin in a rabbit tissue cage infection model.European journal of clinical microbiology & infectious diseases : official publication of the European Society of Clinical Microbiology · 2014
    Article
  15. Review
  16. Article
  17. Review
  18. Review
  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

2 authors.

Xilin ZhaoPublic Health Research Institute, New Jersey Medical School, UMDNJ, 225 Warren Street, Newark, NJ 07103, USA.
Karl Drlica

Funding

Novel fluoroquinolones for killing dormant Mycobacterium tuberculosisR01AI073491 · NIAID · UNIV OF MED/DENT OF NJ-NJ MEDICAL SCHOOL · PI DRLICA, KARL A, KERNS, ROBERT JOHN · 2007 to 2015
$5.1M
DNA GYRASE AND QUINOLONE RESISTANCE IN TUBERCULOSISR01AI035257 · NIAID · UNIV OF MED/DENT OF NJ-NJ MEDICAL SCHOOL · PI DRLICA, KARL A · 1993 to 2007
$4.3M
New genes involved in cellular responses to quinolone treatmentR21AI068014 · NIAID · UNIV OF MED/DENT OF NJ-NJ MEDICAL SCHOOL · PI ZHAO, XILIN · 2007 to 2008
$425k
NIAID NIH HHS AI035257NIAID NIH HHS AI068014NIAID NIH HHS AI073491NIAID NIH HHS R01 AI035257NIAID NIH HHS R01 AI073491NIAID NIH HHS R21 AI068014
6 · The paper itself

Abstract

Antimicrobial dosing is currently attracting attention as a way to minimize the emergence of resistance. Three dose-based strategies have been advocated, each with shortcomings. Focus on killing susceptible cells overlooks resistant mutant subpopulations that may be present before treatment or generated during therapy; keeping therapeutic drug concentrations above the mutant prevention concentration (MPC; resistant mutant MIC) may be overly stringent; and dosage escalation modelling uses indirect estimates of resistant mutant subpopulation susceptibility (multiples of bulk population susceptibility, MIC) rather than direct estimates from MPC. The latter is significant because MPC and MIC are discordant with multiple pathogen isolates. Combining the strategies leads to MPC-based PK/PD thresholds (e.g. AUC(24)/MPC and t > MPC) for restricting resistant subpopulation enrichment and amplification. Using MPC-based thresholds to model dosing regimens that will restrict emergence of resistance requires generation of databases in which MPC is determined for many isolates.

Indexed as

Drug Resistance, BacterialMutationAnti-Bacterial AgentsBacteriaBacterial InfectionsDrug TherapyHumansMicrobial Sensitivity TestsMicrobial ViabilityAnti-Bacterial Agents

Identifiers

PMID18544596
PMCPMC2734085

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.