Evidence map›Paper›PMID 39364999›Full record

ReviewClinical microbiology reviews2024

Antibiotic tolerance among clinical isolates: mechanisms, detection, prevalence, and significance.

Ashley T Deventer, Claire E Stevens, Amy Stewart, Joanne K Hobbs

Abstract readReview
In one paragraph

Review in Clinical microbiology reviews, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers.

0numbers the graph read from it
0cells of the map it votes in
21citing 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

21 citing papers in PubMed.

  1. Review
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Within-host evolution of drug tolerance inJAC-antimicrobial resistance · 2026
    Article
  11. The innate immune protein calprotectin ablates the bactericidal activity of β-lactam antibiotics.Proceedings of the National Academy of Sciences of the United States of America · 2026
    Article
  12. Article
  13. Article
  14. Article
  15. Review
  16. Article
  17. Article
  18. Review
  19. Review
  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.

Ashley T Deventer *School of Biology, Biomedical Sciences Research Complex, University of St Andrews, St Andrews, United Kingdom.
Claire E Stevens *School of Biology, Biomedical Sciences Research Complex, University of St Andrews, St Andrews, United Kingdom.
Amy StewartSchool of Biology, Biomedical Sciences Research Complex, University of St Andrews, St Andrews, United Kingdom.
Joanne K HobbsSchool of Biology, Biomedical Sciences Research Complex, University of St Andrews, St Andrews, United Kingdom.ORCID 0000-0001-5239-8039

Funding

Canadian Government | Canadian Institutes of Health Research (CIHR)
6 · The paper itself

Abstract

SUMMARYAntibiotic treatment failures in the absence of resistance are not uncommon. Recently, attention has grown around the phenomenon of antibiotic tolerance, an underappreciated contributor to recalcitrant infections first detected in the 1970s. Tolerance describes the ability of a bacterial population to survive transient exposure to an otherwise lethal concentration of antibiotic without exhibiting resistance. With advances in genomics, we are gaining a better understanding of the molecular mechanisms behind tolerance, and several studies have sought to examine the clinical prevalence of tolerance. Attempts have also been made to assess the clinical significance of tolerance through

Indexed as

Anti-Bacterial AgentsBacterial InfectionsDrug Resistance, BacterialAnimalsBacteriaHumansPrevalenceAnti-Bacterial Agentsanimal modelsantibiotic toleranceclinical microbiologydiagnosticstreatment failure

Identifiers

PMID39364999
PMCPMC11629620

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.