Evidence map›Paper›PMID 33092201›Full record

ReviewAntibiotics (Basel, Switzerland)2020

Relationship between Virulence and Resistance among Gram-Negative Bacteria.

Virginio Cepas, Sara M Soto

Open access · goldAbstract readReview
In one paragraph

Review in Antibiotics (Basel, Switzerland), 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 54 papers.

0numbers the graph read from it
0cells of the map it votes in
54citing papers in PubMed
4.9field-weighted citation impact, top 4% 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

54 citing papers in PubMed, 103 citations in OpenAlex.

  1. Review
  2. Article
  3. Article
  4. Article
  5. ACCIO: An Assembly-Based Tool Enabling Plasmid Detection.medRxiv : the preprint server for health sciences · 2025
    Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Characterization of carbapenem-resistantFrontiers in cellular and infection microbiology · 2025
    Article
  13. Article
  14. Molecular Epidemiology ofAntibiotics (Basel, Switzerland) · 2024
    Review
  15. Article
  16. Article
  17. Article
  18. Article
  19. Potential Surviving Effect ofAntibiotics (Basel, Switzerland) · 2024
    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.

Virginio CepasISGlobal, Hospital Clínic-Universitat de Barcelona, 08036 Barcelona, Spain.ORCID 0000-0002-6624-1160
Sara M SotoISGlobal, Hospital Clínic-Universitat de Barcelona, 08036 Barcelona, Spain.
Barcelona Institute for Global Health · ES

Funding

Instituto de Salud Carlos III PI19/00478, REIPI RD12/0015/0013 and REIPI RD16/0016/0010
6 · The paper itself

Abstract

Bacteria present in the human body are innocuous, providing beneficial functions, some of which are necessary for correct body function. However, other bacteria are able to colonize, invade, and cause damage to different tissues, and these are categorised as pathogens. These pathogenic bacteria possess several factors that enable them to be more virulent and cause infection. Bacteria have a great capacity to adapt to different niches and environmental conditions (presence of antibiotics, iron depletion, etc.). Antibiotic pressure has favoured the emergence and spread of antibiotic-resistant bacteria worldwide. Several studies have reported the presence of a relationship (both positive and negative, and both direct and indirect) between antimicrobial resistance and virulence among bacterial pathogens. This review studies the relationship among the most important Gram-negative bacteria (

Indexed as

antimicrobial resistancebiofilmsGram-negative: plasmidsvirulence

Identifiers

PMID33092201
PMCPMC7589547
OpenAlexW3093499299

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.