Evidence map›Paper›PMID 27262568›Full record

ReviewApplied microbiology and biotechnology2016

Persisters-as elusive as ever.

Niilo Kaldalu, Vasili Hauryliuk, Tanel Tenson

Open access · hybridAbstract readReview
In one paragraph

Review in Applied microbiology and biotechnology, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 61 papers.

0numbers the graph read from it
0cells of the map it votes in
61citing papers in PubMed
47.9field-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

61 citing papers in PubMed, 107 citations in OpenAlex.

  1. Article
  2. Molecular Basis of Persister Awakening and Lag-Phase Recovery inInternational journal of molecular sciences · 2026
    Review
  3. Review
  4. Review
  5. Article
  6. Influence of NMolecules (Basel, Switzerland) · 2024
    Article
  7. Article
  8. Article
  9. Review
  10. Article
  11. Review
  12. Article
  13. Article
  14. Article
  15. Review
  16. Article
  17. Review
  18. Review
  19. Article
  20. Variability in Adaptive Resistance ofAntibiotics (Basel, Switzerland) · 2022
    Article

1 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 2 countries.

Niilo KaldaluUniversity of Tartu, Institute of Technology, Nooruse 1, 50411, Tartu, Estonia.
Vasili HauryliukUniversity of Tartu, Institute of Technology, Nooruse 1, 50411, Tartu, Estonia.
Tanel TensonUniversity of Tartu, Institute of Technology, Nooruse 1, 50411, Tartu, Estonia. tanel.tenson@ut.ee.
University of Tartu · EEUmeå University · SE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Persisters-a drug-tolerant sub-population in an isogenic bacterial culture-have been featured throughout the last decade due to their important role in recurrent bacterial infections. Numerous investigations detail the mechanisms responsible for the formation of persisters and suggest exciting strategies for their eradication. In this review, we argue that the very term "persistence" is currently used to describe a large and heterogeneous set of physiological phenomena that are functions of bacterial species, strains, growth conditions, and antibiotics used in the experiments. We caution against the oversimplification of the mechanisms of persistence and urge for a more rigorous validation of the applicability of these mechanisms in each case.

Indexed as

Drug Resistance, Multiple, BacterialAnti-Bacterial AgentsBacterial InfectionsBiofilmsRecurrenceAnti-Bacterial AgentsAntibiotic developmentAntibiotic resistanceAntibiotic toleranceBacterial infectionsBet hedgingPersisters

Identifiers

PMID27262568
PMCPMC4939303
OpenAlexW2414894098

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.