Evidence map›Paper›PMID 33046494›Full record

ArticleAntimicrobial agents and chemotherapy2020

Daniel G Lloyd, Benjamin J Schofield, Matthew R Goddard, Edward J Taylor

Open access · greenAbstract read
In one paragraph

Article in Antimicrobial agents and chemotherapy, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
0.5field-weighted citation impact, top 44% 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

9 citing papers in PubMed, 14 citations in OpenAlex.

  1. Article
  2. Review
  3. Article
  4. Review
  5. Assessing the predictability of fungicide resistance evolution through in vitro selection.Journal of plant diseases and protection : scientific journal of the German Phytomedical Society (DPG) · 2024
    Article
  6. Isobactins:Chemical science · 2022
    Article
  7. Article
  8. Article
  9. 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 at 2 institutions in 2 countries.

Daniel G LloydSchool of Life Sciences, University of Lincoln, Lincoln, United Kingdom.
Benjamin J SchofieldSchool of Life Sciences, University of Lincoln, Lincoln, United Kingdom.
Matthew R GoddardSchool of Life Sciences, University of Lincoln, Lincoln, United Kingdom.ORCID 0000-0002-7482-4438
Edward J TaylorSchool of Life Sciences, University of Lincoln, Lincoln, United Kingdom etaylor@lincoln.ac.uk.ORCID 0000-0003-4024-0976
University of Lincoln · GBUniversity of Auckland · NZ

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Bacterial pathogens are rapidly evolving resistance to all clinically available antibiotics. One part of the solution to this complex issue is to better understand the resistance mechanisms to new and existing antibiotics. Here, we focus on two antibiotics. Teixobactin is a recently discovered promising antibiotic that is claimed to "kill pathogens without detectable resistance" (L. L. Ling, T. Schneider, A. J. Peoples, A. L. Spoering, et al., Nature 517:455-459, 2015, https://doi.org/10.1038/nature14098). Moenomycin A has been extensively used in animal husbandry for over 50 years with no meaningful antibiotic resistance arising. However, the nature, mechanisms, and consequences of the evolution of resistance to these "resistance-proof" compounds have not been investigated. Through a fusion of experimental evolution, whole-genome sequencing, and structural biology, we show that

Indexed as

DepsipeptidesAnimalsAnti-Bacterial AgentsMicrobial Sensitivity TestsStaphylococcus aureusAnti-Bacterial AgentsDepsipeptidesteixobactinantibiotic resistancede novo resistanceexperimental evolutionin vitro resistancemoenomycinMRSAStaphylococcus aureusteixobactin

Identifiers

PMID33046494
PMCPMC7927836
OpenAlexW3092002948

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.