Evidence map›Paper›PMID 25377456›Full record

ArticleProceedings. Biological sciences2014

A theoretical examination of the relative importance of evolution management and drug development for managing resistance.

Nathan S McClure, Troy Day

Abstract read
In one paragraph

Article in Proceedings. Biological sciences, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 32 papers.

0numbers the graph read from it
0cells of the map it votes in
32citing 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

32 citing papers in PubMed.

  1. Article
  2. Article
  3. Review
  4. Article
  5. Alternate Antimicrobial Therapies and Their Companion Tests.Diagnostics (Basel, Switzerland) · 2023
    Review
  6. Article
  7. Review
  8. Article
  9. Article
  10. Antibiotic Discovery and Resistance: The Chase and the Race.Antibiotics (Basel, Switzerland) · 2022
    Review
  11. Colistin ResistantVeterinary sciences · 2021
    Review
  12. Article
  13. Article
  14. Re-Envisioning Anti-Apicomplexan Parasite Drug Discovery Approaches.Frontiers in cellular and infection microbiology · 2021
    Review
  15. Review
  16. Review
  17. 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

2 authors.

Nathan S McClureDepartment of Biology, Queen's University, Kingston, Ontario, Canada K7L 3N6 nathan.mcclure@queensu.ca.
Troy DayDepartment of Biology, Queen's University, Kingston, Ontario, Canada K7L 3N6 Department of Mathematics and Statistics, Queen's University, Kingston, Ontario, Canada K7L 3N6.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Drug resistance is a serious public health problem that threatens to thwart our ability to treat many infectious diseases. Repeatedly, the introduction of new drugs has been followed by the evolution of resistance. In principle, there are two complementary ways to address this problem: (i) enhancing drug development and (ii) slowing the evolution of drug resistance through evolutionary management. Although these two strategies are not mutually exclusive, it is nevertheless worthwhile considering whether one might be inherently more effective than the other. We present a simple mathematical model that explores how interventions aimed at these two approaches affect the availability of effective drugs. Our results identify an interesting feature of evolution management that, all else equal, tends to make it more effective than enhancing drug development. Thus, although enhancing drug development will necessarily be a central part of addressing the problem of resistance, our results lend support to the idea that evolution management is probably a very significant component of the solution as well.

Indexed as

Biological EvolutionDrug ResistanceModels, TheoreticalAnti-Bacterial AgentsAntimalarialsDrug DiscoveryAnti-Bacterial AgentsAntimalarialschemotherapydrug resistancepharmaceuticalstreatment strategies

Identifiers

PMID25377456
PMCPMC4240990

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.