Evidence map›Paper›PMID 26711759›Full record

ReviewAntimicrobial agents and chemotherapy2015

Suppression of Emergence of Resistance in Pathogenic Bacteria: Keeping Our Powder Dry, Part 1.

G L Drusano, Arnold Louie, Alasdair MacGowan, William Hope

Abstract readReview
In one paragraph

Review in Antimicrobial agents and chemotherapy, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 37 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
37citing 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

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

  1. Pooled it
  2. ASP-COMPLEX: redefining antimicrobial stewardship to improve outcomes in high-risk patients with severe infections.Revista espanola de quimioterapia : publicacion oficial de la Sociedad Espanola de Quimioterapia · 2026
    Review
  3. Article
  4. Review
  5. Article
  6. Article
  7. Review
  8. Article
  9. Article
  10. Closed-loop control of continuous piperacillin delivery: AnFrontiers in bioengineering and biotechnology · 2022
    Article
  11. Review
  12. Recommendations for antibiotic selection for severe nosocomial infections.Revista espanola de quimioterapia : publicacion oficial de la Sociedad Espanola de Quimioterapia · 2021
    Article
  13. Article
  14. Article
  15. Review
  16. Article
  17. Stochastic bacterial population dynamics restrict the establishment of antibiotic resistance from single cells.Proceedings of the National Academy of Sciences of the United States of America · 2020
    Article
  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

4 authors.

G L DrusanoInstitute for Therapeutic Innovation, University of Florida, Orlando, Florida, USA gdrusano@ufl.edu.
Arnold LouieInstitute for Therapeutic Innovation, University of Florida, Orlando, Florida, USA.
Alasdair MacGowanBristol Centre for Antimicrobial Research and Evaluation, Department of Microbiology, Southmead Hospital, Bristol, United Kingdom.
William HopeAntimicrobial Pharmacodynamics and Therapeutics, Department of Molecular and Clinical Pharmacology, University of Liverpool, Liverpool, United Kingdom.

Funding

Resistance Suppression for P. Aeruginosa using Novel Combination Therapy ModelingR01AI079578 · NIAID · UNIVERSITY OF FLORIDA · PI DRUSANO, GEORGE LOUIS, LOUIE, ARNOLD · 2008 to 2011
$2.9M
NIAID NIH HHS R01 AI079578
6 · The paper itself

Abstract

We are in a crisis of bacterial resistance. For economic reasons, most pharmaceutical companies are abandoning antimicrobial discovery efforts, while, in health care itself, infection control and antibiotic stewardship programs have generally failed to prevent the spread of drug-resistant bacteria. At this point, what can be done? The first step has been taken. Governments and international bodies have declared there is a worldwide crisis in antibiotic drug resistance. As discovery efforts begin anew, what more can be done to protect newly developing agents and improve the use of new drugs to suppress resistance emergence? A neglected path has been the use of recent knowledge regarding antibiotic dosing as single agents and in combination to minimize resistance emergence, while also providing sufficient early bacterial kill. In this review, we look at the data for resistance suppression. Approaches include increasing the intensity of therapy to suppress resistant subpopulations; developing concepts of clinical breakpoints to include issues surrounding suppression of resistance; and paying attention to the duration of therapy, which is another important issue for resistance suppression. New understanding of optimizing combination therapy is of interest for difficult-to-treat pathogens like Pseudomonas aeruginosa, Acinetobacter spp., and multidrug-resistant (MDR) Enterobacteriaceae. These lessons need to be applied to our old drugs to preserve them as well and need to be put into national and international antibiotic resistance strategies. As importantly, from a regulatory perspective, new chemical entities should have a corresponding resistance suppression plan at the time of regulatory review. In this way, we can make the best of our current situation and improve future prospects.

Indexed as

AnimalsAnti-Bacterial AgentsBacteriaBacterial InfectionsDose-Response Relationship, DrugDrug Resistance, BacterialDrug Resistance, Multiple, BacterialEnterobacteriaceaeHumansMutationPseudomonas aeruginosaTime FactorsAnti-Bacterial Agents

Identifiers

PMID26711759
PMCPMC4775960

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.