Evidence map›Paper›PMID 23721359›Full record

ArticleBMC infectious diseases2013

Emergence of 16S rRNA methylase-producing Acinetobacter baumannii and Pseudomonas aeruginosa isolates in hospitals in Vietnam.

Tatsuya Tada, Tohru Miyoshi-Akiyama, Yasuyuki Kato, Norio Ohmagari, Nozomi Takeshita, Nguyen Viet Hung, Doan Mai Phuong, Truong Anh Thu, Nguyen Gia Binh, Nguyen Quoc Anh and 6 more

Open access · goldAbstract read
In one paragraph

Article in BMC infectious diseases, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
22citing papers in PubMed, 1 pooled it
2.5field-weighted citation impact, top 11% 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

22 citing papers in PubMed, 1 synthesis or guideline pooled it, 59 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Trends of Colistin MIC AmongJournal of tropical medicine · 2025
    Article
  4. Review
  5. Article
  6. Antimicrobial resistance and mechanisms of epigenetic regulation.Frontiers in cellular and infection microbiology · 2023
    Review
  7. Article
  8. WGS-Based Analysis of Carbapenem-ResistantAntibiotics (Basel, Switzerland) · 2021
    Article
  9. Review
  10. The Building Blocks of Antimicrobial Resistance inFrontiers in cellular and infection microbiology · 2021
    Review
  11. Review
  12. Review
  13. Article
  14. Carbapenem-ResistantFrontiers in microbiology · 2019
    Article
  15. Article
  16. Genetic characterization andOncology letters · 2018
    Article
  17. Emergence of New Delhi metallo-beta-lactamase 1 and other carbapenemase-producing Acinetobacter calcoaceticus-baumannii complex among patients in hospitals in Ha Noi, Viet Nam.European journal of clinical microbiology & infectious diseases : official publication of the European Society of Clinical Microbiology · 2017
    Article
  18. Molecular epidemiology of blaBMC infectious diseases · 2017
    Article
  19. 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

16 authors at 4 institutions in 3 countries.

Tatsuya Tada
Tohru Miyoshi-Akiyama
Yasuyuki Kato
Norio Ohmagari
Nozomi Takeshita
Nguyen Viet Hung
Doan Mai Phuong
Truong Anh Thu
Nguyen Gia Binh
Nguyen Quoc Anh
Tran Thi Thanh Nga
Pham Hong Truong
Phan Thi Xuan
Le Thi Anh Thu
Nguyen Truong Son
Teruo Kirikae
Bạch Mai Hospital · VNCho Ray Hospital · VNNational Center for Global Health and Medicine · JPInfectious Disease Research Institute · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

background16S rRNA methylase-producing Gram-negative bacteria are highly resistant to all clinically important aminoglycosides. We analyzed clinical strains of 16S rRNA methylase-producing Acinetobactor baumannii and Pseudomonas aeruginosa obtained from clinical isolates in medical settings in Vietnam.

methodsFrom 2008 to 2011, 101 clinical strains of A. baumannii and 15 of P. aeruginosa were isolated from patients in intensive care units (ICUs) in two medical settings in Vietnam. Antimicrobial susceptibilities were determined using the microdilution method and epidemiological analysis was performed by pulsed-field gel electrophoresis and MLST. Genes encoding the 16S rRNA methylases, OXAs and CTX-Ms were analyzed by PCR and sequence analysis.

results16S rRNA methylase-producing Gram-negative pathogens were detected in two hospitals in Vietnam. Of the 101 clinical isolates of A. baumannii and the 15 of P. aeruginosa isolated from two ICUs in these hospitals, 72 (71.3%) were highly resistant to amikacin, arbekacin and gentamicin, with MICs greater than 1,024 mg/L. The 16S rRNA methylases ArmA and RmtB were produced by 61 and 9 isolates of A. baumannii, respectively, and RmtB was produced by 2 isolates of P. aeruginosa. Moreover, 52 of the A. baumannii isolates producing 16S rRNA methylases harbored both blaOXA-23-like and blaOXA-51-like genes. Most A. baumannii isolates producing 16S rRNA methylase obtained in hospital A in Hanoi were ST91 and ST231, whereas most from hospital B in Ho Chi Minh City were ST136, ST195, and ST254.

conclusionsGram-negative bacteria producing the 16S rRNA methylases ArmA and RmtB are emerging in medical settings in Vietnam. A. baumannii isolates in northern and southern regions of Vietnam may be of different lineages.

Indexed as

Acinetobacter baumanniiAnti-Bacterial AgentsBacterial ProteinsCross InfectionDrug Resistance, BacterialGram-Negative Bacterial InfectionsHumansMethyltransferasesMicrobial Sensitivity TestsMultilocus Sequence TypingPseudomonas aeruginosaRNA, Ribosomal, 16SVietnamAnti-Bacterial AgentsBacterial ProteinsMethyltransferasesRNA, Ribosomal, 16S

Identifiers

PMID23721359
PMCPMC3680199
OpenAlexW2033806154

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.