Evidence map›Paper›PMID 35326803›Full record

ReviewAntibiotics (Basel, Switzerland)2022

Review and Comparison of Antimicrobial Resistance Gene Databases.

Márton Papp, Norbert Solymosi

Erratum issuedAbstract readReview
In one paragraph

Review in Antibiotics (Basel, Switzerland), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 54 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
54citing papers in PubMed, 1 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

54 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Mapping the oral resistome: a systematic review.Journal of medical microbiology · 2024
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

2 authors.

Márton PappCentre for Bioinformatics, University of Veterinary Medicine Budapest, 1078 Budapest, Hungary.ORCID 0000-0003-4975-253X
Norbert SolymosiCentre for Bioinformatics, University of Veterinary Medicine Budapest, 1078 Budapest, Hungary.ORCID 0000-0003-1783-2041

Funding

European Union and European Social Fund EFOP-3.6.3-VEKOP-16-2017-00005European Union's Horizon 2020 research and innovation program 874735 (VEO)
6 · The paper itself

Abstract

As the prevalence of antimicrobial resistance genes is increasing in microbes, we are facing the return of the pre-antibiotic era. Consecutively, the number of studies concerning antibiotic resistance and its spread in the environment is rapidly growing. Next generation sequencing technologies are widespread used in many areas of biological research and antibiotic resistance is no exception. For the rapid annotation of whole genome sequencing and metagenomic results considering antibiotic resistance, several tools and data resources were developed. These databases, however, can differ fundamentally in the number and type of genes and resistance determinants they comprise. Furthermore, the annotation structure and metadata stored in these resources can also contribute to their differences. Several previous reviews were published on the tools and databases of resistance gene annotation; however, to our knowledge, no previous review focused solely and in depth on the differences in the databases. In this review, we compare the most well-known and widely used antibiotic resistance gene databases based on their structure and content. We believe that this knowledge is fundamental for selecting the most appropriate database for a research question and for the development of new tools and resources of resistance gene annotation.

Indexed as

annotation of antimicrobial resistance genesantimicrobial resistance gene databaseantimicrobial resistance genes

Identifiers

PMID35326803
PMCPMC8944830

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.