Evidence map›Paper›PMID 18708517›Full record

SynthesisApplied and environmental microbiology2008

Meta-analysis of experimental data concerning antimicrobial resistance gene transfer rates during conjugation.

Paul R Hunter, Dawn C Wilkinson, Louise A Catling, Gary C Barker

Abstract readMeta-Analysis
In one paragraph

Synthesis in Applied and environmental microbiology, 2008. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed, 2 pooled it
–field-weighted citation impact
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

11 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
  3. Article
  4. Article
  5. Article
  6. Article
  7. Prevalence and characterization of quinolone-resistantJournal of advanced veterinary and animal research · 2023
    Article
  8. Development of a high-throughput platform to measure plasmid transfer frequency.Frontiers in cellular and infection microbiology · 2023
    Article
  9. Tetracycline Gene Transfer inFrontiers in microbiology · 2019
    Article
  10. Article
  11. Review
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.

Paul R HunterSchool of Medicine, Health Policy and Practice, University of East Anglia, Norwich NR4 7TJ, United Kingdom. paul.hunter@uea.ac.uk
Dawn C Wilkinson
Louise A Catling
Gary C Barker

Funding

Biotechnology and Biological Sciences Research Council
6 · The paper itself

Abstract

This paper presents the results of a meta-analysis of published transfer rates of antimicrobial resistance genes. A total of 34 papers were identified, of which 28 contained rates estimated in relation to either donor or recipient bacterial counts. The published rates ranged from 10(-2) to 10(-9). Generalized linear modeling was conducted to identify the factors influencing this variation. Highly significant associations between transfer frequency and both the donor (P = 1.2 x 10(-4)) and recipient (P = 1.0 x 10(-5)) genera were found. Also significant was whether the donor and recipient strains were of the same genus (P = 0.023) and the nature of the genetic element (P = 0.0019). The type of experiment, in vivo or in vitro, approached statistical significance (P = 0.12). Parameter estimates from a general linear model were used to estimate the probability of transfer of antimicrobial resistance genes to potential pathogens in the intestine following oral ingestion. The mean logarithms of these probabilities are in the range of [-7.0, -3.1]. These probability distributions are suitable for use in the quantitative assessment of the risk of transfer of antimicrobial resistance genes to the intestinal flora of humans and animals.

Indexed as

Conjugation, GeneticDrug Resistance, BacterialBacteriaHumans

Identifiers

PMID18708517
PMCPMC2565951

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.