Evidence map›Paper›PMID 11095825›Full record

ArticleCurrent infectious disease reports1999

Superbugs: How They Evolve and Minimize the Cost of Resistance.

Low, Kellner, Wright

Abstract read
PubMed Publisher
In one paragraph

Article in Current infectious disease reports, 1999. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Article
  3. Antimicrobial drug use and resistance in dogs.The Canadian veterinary journal = La revue veterinaire canadienne · 2002
    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.

LowDepartment of Microbiology, Mount Sinai Hospital and University Health Network, University of Toronto, Canadian Bacterial Diseases Network, 600 University Avenue, Toronto, Ontario, M5G 1X5, Canada.
Kellner
Wright

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The increasing frequency with which antimicrobial-resistant microorganisms have emerged in hospitals and communities has alarmed public health officials worldwide. The emergence of resistance results from the evolution of the sometimes elegant resistance mechanisms that create so-called superbugs, which disseminate by clonal spread or exchange resistance traits with other microorganisms. One major contributor to the emergence of resistance is selection intensity, which is determined by the volume of drug consumption by humans and the agriculture industry. De novo or acquired resistance is often initially associated with a cost to fitness of the microorganism. It therefore seems reasonable to assume that reducing the volume of drug use would slow the evolution and reduce the prevalence of resistance. This assumption has led to worldwide attempts to control the inappropriate use of antimicrobials in the hope of controlling the pandemic of antibiotic resistance. However, microorganisms have learned to adapt in order to survive in ever-changing environments. Superbugs have evolved numerous mechanisms that reduce or eliminate the cost of resistance, and such adaptations may minimize the potential benefits of programs aimed at reducing the volume of drug use. It therefore behooves us to look to other disciplines--such as population genetics, ecology, and mathematical biology--to help us tackle this perplexing and important problem.

Identifiers

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.