Evidence map›Paper›PMID 23856783›Full record

ArticleAntimicrobial agents and chemotherapy2013

DNA microarray for genotyping antibiotic resistance determinants in Acinetobacter baumannii clinical isolates.

Simon Dally, Karin Lemuth, Martin Kaase, Steffen Rupp, Cornelius Knabbe, Jan Weile

Open access · bronzeAbstract read
In one paragraph

Article in Antimicrobial agents and chemotherapy, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
19citing papers in PubMed, 1 pooled it
1.6field-weighted citation impact, top 19% 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

19 citing papers in PubMed, 1 synthesis or guideline pooled it, 44 citations in OpenAlex.

  1. Pooled it
  2. Review
  3. Article
  4. Article
  5. Review
  6. Antimicrobial Resistance and Its Spread Is a Global Threat.Antibiotics (Basel, Switzerland) · 2022
    Review
  7. Review
  8. Fur: Find unique genomic regions for diagnostic PCR.Bioinformatics (Oxford, England) · 2021
    Article
  9. Review
  10. Article
  11. Article
  12. Antimicrobial resistance inGut pathogens · 2018
    Article
  13. Advanced biomedical research · 2017
    Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. Article
  19. 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

6 authors at 4 institutions in 1 country.

Simon DallyInstitute for Laboratory and Transfusion Medicine, Heart and Diabetes Center NRW, University Hospital of the Ruhr-University Bochum, Bad Oeynhausen, Germany.
Karin Lemuth
Martin Kaase
Steffen Rupp
Cornelius Knabbe
Jan Weile
Heart and Diabetes Center North Rhine-Westphalia · DERuhr University Bochum · DEFraunhofer Institute for Interfacial Engineering and Biotechnology · DEFraunhofer Society · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In recent decades, Acinetobacter baumannii has emerged as an organism of great concern due to its ability to accumulate antibiotic resistance. In order to improve the diagnosis of resistance determinants in A. baumannii in terms of lead time and accuracy, we developed a microarray that can be used to detect 91 target sequences associated with antibiotic resistance within 4 h from bacterial culture to result. The array was validated with 60 multidrug-resistant strains of A. baumannii in a blinded, prospective study. The results were compared to phenotype results determined by the automated susceptibility testing system VITEK2. Antibiotics considered were piperacillin-tazobactam, ceftazidime, imipenem, meropenem, trimethoprim-sulfamethoxazole, amikacin, gentamicin, tobramycin, ciprofloxacin, and tigecycline. The average positive predictive value, negative predictive value, sensitivity, and specificity were 98, 98, 99, and 94%, respectively. For carbapenemase genes, the array results were compared to singleplex PCR results provided by the German National Reference Center for Gram-Negative Pathogens, and results were in complete concordance. The presented array is able to detect all relevant resistance determinants of A. baumannii in parallel. The short handling time of 4 h from culture to result helps to provide fast results in order to initiate adequate anti-infective therapy for critically ill patients. Another application would be data acquisition for epidemiologic surveillance.

Indexed as

Acinetobacter baumanniiAnti-Bacterial AgentsDrug Resistance, Multiple, BacterialGenotypeOligonucleotide Array Sequence AnalysisAnti-Bacterial Agents

Identifiers

PMID23856783
PMCPMC3811405
OpenAlexW2076907009

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.