Evidence map›Paper›PMID 24678768›Full record

ReviewUpsala journal of medical sciences2014

Emergence and spread of antibiotic resistance: setting a parameter space.

José Luis Martínez, Fernando Baquero

Abstract readReview
In one paragraph

Review in Upsala journal of medical sciences, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 59 papers.

0numbers the graph read from it
0cells of the map it votes in
59citing 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

59 citing papers in PubMed.

  1. Trial
  2. Article
  3. Detection ofVeterinary sciences · 2026
    Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Phylogenetic and Genomic Feature Analysis of CutaneousInfection and drug resistance · 2026
    Article
  10. Article
  11. Review
  12. Article
  13. Microbiology (Reading, England) · 2025
    Review
  14. Article
  15. Article
  16. Article
  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.

José Luis MartínezDepartamento de Biotecnología Microbiana, Centro Nacional de Biotecnología, CSIC , Darwin 3, Cantoblanco, 28049, Madrid , Spain.
Fernando Baquero

Funding

NIMHD NIH HHS L60 MD002414
6 · The paper itself

Abstract

The emergence and spread of antibiotic resistance among human pathogens is a relevant problem for human health and one of the few evolution processes amenable to experimental studies. In the present review, we discuss some basic aspects of antibiotic resistance, including mechanisms of resistance, origin of resistance genes, and bottlenecks that modulate the acquisition and spread of antibiotic resistance among human pathogens. In addition, we analyse several parameters that modulate the evolution landscape of antibiotic resistance. Learning why some resistance mechanisms emerge but do not evolve after a first burst, whereas others can spread over the entire world very rapidly, mimicking a chain reaction, is important for predicting the evolution, and relevance for human health, of a given mechanism of resistance. Because of this, we propose that the emergence and spread of antibiotic resistance can only be understood in a multi-parameter space. Measuring the effect on antibiotic resistance of parameters such as contact rates, transfer rates, integration rates, replication rates, diversification rates, and selection rates, for different genes and organisms, growing under different conditions in distinct ecosystems, will allow for a better prediction of antibiotic resistance and possibilities of focused interventions.

Indexed as

Drug Resistance, MicrobialAnti-Bacterial AgentsHumansAnti-Bacterial AgentsAntibiotic resistanceevolutionhorizontal gene transferresistome

Identifiers

PMID24678768
PMCPMC4034563

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.