Evidence map›Paper›PMID 33383765›Full record

ArticleMicroorganisms2020

Whole Genome Sequence-Based Prediction of Resistance Determinants in High-Level Multidrug-Resistant

Jurgita Aksomaitiene, Aleksandr Novoslavskij, Egle Kudirkiene, Ausra Gabinaitiene, Mindaugas Malakauskas

Open access · goldAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Microorganisms, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed, 1 pooled it
1.0field-weighted citation impact, top 21% 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

7 citing papers in PubMed, 1 synthesis or guideline pooled it, 9 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Article
  4. Overview of Virulence and Antibiotic Resistance inAntibiotics (Basel, Switzerland) · 2023
    Review
  5. Article
  6. Article
  7. 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

5 authors at 2 institutions in 2 countries.

Jurgita AksomaitieneDepartment of Food Safety and Quality, Faculty of Veterinary Medicine, Veterinary Academy, Lithuanian University of Health Sciences, Tilzes str. 18, LT 47181 Kaunas, Lithuania.
Aleksandr NovoslavskijDepartment of Food Safety and Quality, Faculty of Veterinary Medicine, Veterinary Academy, Lithuanian University of Health Sciences, Tilzes str. 18, LT 47181 Kaunas, Lithuania.
Egle KudirkieneDepartment of Veterinary and Animal Sciences, Faculty of Health and Medical Sciences, University of Copenhagen, Stigbøjlen 4, 1870 Frederiksberg C, Denmark.
Ausra GabinaitieneDepartment of Food Safety and Quality, Faculty of Veterinary Medicine, Veterinary Academy, Lithuanian University of Health Sciences, Tilzes str. 18, LT 47181 Kaunas, Lithuania.
Mindaugas MalakauskasDepartment of Food Safety and Quality, Faculty of Veterinary Medicine, Veterinary Academy, Lithuanian University of Health Sciences, Tilzes str. 18, LT 47181 Kaunas, Lithuania.ORCID 0000-0003-0301-0311
Lithuanian University of Health Sciences · LTUniversity of Copenhagen · DK

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Spread of antibiotic resistance via mobile genetic elements associates with transfer of genes providing resistance against multiple antibiotics. Use of various comparative genomics analysis techniques enables to find intrinsic and acquired genes associated with phenotypic antimicrobial resistance (AMR) in

Indexed as

antibiotic-resistance genesCampylobacter jejunigenomic islandshorizontal gene transfermobile genetic elementsmultidrug resistancewhole genome sequence

Identifiers

PMID33383765
PMCPMC7823968
OpenAlexW3117582261

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.