Evidence map›Paper›PMID 32461608›Full record

ReviewNature reviews. Microbiology2020

Evolutionary causes and consequences of bacterial antibiotic persistence.

Erik Bakkeren, Médéric Diard, Wolf-Dietrich Hardt

Abstract readReview
PubMed Publisher
In one paragraph

Review in Nature reviews. Microbiology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 87 papers.

0numbers the graph read from it
0cells of the map it votes in
87citing papers in PubMed
20.3field-weighted citation impact, top 1% of its field
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

87 citing papers in PubMed, 213 citations in OpenAlex.

  1. Article
  2. Sulfur Vacancy-Rich MoSAdvanced healthcare materials · 2026
    Article
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  4. Review
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  6. Review
  7. The Metabolic State ofACS infectious diseases · 2026
    Article
  8. Article
  9. Article
  10. Molecular Basis of Persister Awakening and Lag-Phase Recovery inInternational journal of molecular sciences · 2026
    Review
  11. Review
  12. Article
  13. Review
  14. Review
  15. Article
  16. Article
  17. Article
  18. Article
  19. Article
  20. Article

27 more citing papers are in PubMed but not listed here.

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 at 2 institutions in 1 country.

Erik BakkerenInstitute of Microbiology, Department of Biology, ETH Zurich, Zurich, Switzerland.ORCID http://orcid.org/0000-0001-7970-7890
Médéric DiardBiozentrum, University of Basel, Basel, Switzerland. mederic.diard@unibas.ch.ORCID http://orcid.org/0000-0001-5914-8059
Wolf-Dietrich HardtInstitute of Microbiology, Department of Biology, ETH Zurich, Zurich, Switzerland. hardt@micro.biol.ethz.ch.ORCID http://orcid.org/0000-0002-9892-6420
ETH Zurich · CHUniversity of Basel · CH

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Antibiotic treatment failure is of growing concern. Genetically encoded resistance is key in driving this process. However, there is increasing evidence that bacterial antibiotic persistence, a non-genetically encoded and reversible loss of antibiotic susceptibility, contributes to treatment failure and emergence of resistant strains as well. In this Review, we discuss the evolutionary forces that may drive the selection for antibiotic persistence. We review how some aspects of antibiotic persistence have been directly selected for whereas others result from indirect selection in disparate ecological contexts. We then discuss the consequences of antibiotic persistence on pathogen evolution. Persisters can facilitate the evolution of antibiotic resistance and virulence. Finally, we propose practical means to prevent persister formation and how this may help to slow down the evolution of virulence and resistance in pathogens.

Indexed as

Anti-Bacterial AgentsBacteriaDrug Resistance, BacterialEvolution, MolecularAnti-Bacterial Agents

Identifiers

PMID32461608
OpenAlexW3029740676

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.