Evidence map›Paper›PMID 29764951›Full record

ArticlemBio2018

Predictable Phenotypes of Antibiotic Resistance Mutations.

M Knopp, D I Andersson

Open access · goldAbstract read
In one paragraph

Article in mBio, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 50 papers.

0numbers the graph read from it
0cells of the map it votes in
50citing papers in PubMed
9.0field-weighted citation impact, top 2% 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

50 citing papers in PubMed, 97 citations in OpenAlex.

  1. Review
  2. Nutrient control enables metabolic reconstruction ofbioRxiv : the preprint server for biology · 2026
    Article
  3. Review
  4. Macrolide resistance trajectories across threeFrontiers in microbiology · 2026
    Article
  5. Article
  6. Article
  7. Epistasis-mediated compensatory evolution in a fitness landscape with adaptational tradeoffs.Proceedings of the National Academy of Sciences of the United States of America · 2025
    Article
  8. Microbiology spectrum · 2025
    Article
  9. Article
  10. Article
  11. Survival, resistance, and fitness dynamics ofEvolution, medicine, and public health · 2025
    Article
  12. Impact of repeatedFrontiers in microbiology · 2025
    Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Review
  18. Article
  19. Epistasis decreases with increasing antibiotic pressure but not temperature.Philosophical transactions of the Royal Society of London. Series B, Biological sciences · 2023
    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 at 1 institution in 1 country.

M KnoppDepartment of Medical Biochemistry and Microbiology, Uppsala University, Uppsala, Sweden.ORCID 0000-0002-8218-3263
D I AnderssonDepartment of Medical Biochemistry and Microbiology, Uppsala University, Uppsala, Sweden Dan.Andersson@imbim.uu.se.ORCID 0000-0001-6640-2174
Uppsala University · SE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Antibiotic-resistant bacteria represent a major threat to our ability to treat bacterial infections. Two factors that determine the evolutionary success of antibiotic resistance mutations are their impact on resistance level and the fitness cost. Recent studies suggest that resistance mutations commonly show epistatic interactions, which would complicate predictions of their stability in bacterial populations. We analyzed 13 different chromosomal resistance mutations and 10 host strains of

Indexed as

Drug Resistance, BacterialAnti-Bacterial AgentsBacterial ProteinsEpistasis, GeneticEscherichia coliMutationPhenotypeRifampinSalmonella entericaAnti-Bacterial AgentsBacterial ProteinsRifampinantibiotic resistanceepistasisEscherichia colifitnessSalmonellaStrain specificity

Identifiers

PMID29764951
PMCPMC5954217
OpenAlexW2803918445

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.