Evidence map›Paper›PMID 28785404›Full record

ArticleAntimicrobial resistance and infection control2017

Evaluation of automated systems for aminoglycosides and fluoroquinolones susceptibility testing for Carbapenem-resistant

Zhichang Zhao, Fangjun Lan, Maobai Liu, Weiyuan Chen, Liya Huang, Qili Lin, Bin Li

Abstract read
In one paragraph

Article in Antimicrobial resistance and infection control, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
–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

8 citing papers in PubMed.

  1. Article
  2. Review
  3. Article
  4. Review
  5. Article
  6. Review
  7. Article
  8. Prosthetic Joint Infection from Carbapenemase-ResistantCase reports in infectious diseases · 2018
    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

7 authors.

Zhichang Zhao *Department of Pharmacy, Fujian Medical University Union Hospital, Fuzhou, Fujian 350001 China.
Fangjun Lan *Department of Clinical Laboratory, Fujian Medical University Union Hospital, 29 Xinquan Rd, Fuzhou, Fujian 350001 People's Republic of China.
Maobai LiuDepartment of Pharmacy, Fujian Medical University Union Hospital, Fuzhou, Fujian 350001 China.
Weiyuan ChenMedical Technology and Engineering College, Fujian Medical University, Fuzhou, 350004 Fujian People's Republic of China.
Liya HuangMedical Technology and Engineering College, Fujian Medical University, Fuzhou, 350004 Fujian People's Republic of China.
Qili LinMedical Technology and Engineering College, Fujian Medical University, Fuzhou, 350004 Fujian People's Republic of China.
Bin LiDepartment of Clinical Laboratory, Fujian Medical University Union Hospital, 29 Xinquan Rd, Fuzhou, Fujian 350001 People's Republic of China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundAutomated systems (MicroScan WalkAway 96 Plus, Phoenix 100, and Vitek 2 Compact) are widely used in clinical laboratories nowadays. The aim of this study is to evaluate the performance of these three systems for susceptibility testing of aminoglycosides and fluoroquinolones against Carbapenem-resistant

methodsA total of 75 CRE isolates were used in this study. Quinolone resistance determinants (QRDs) (

resultsTotally, 97.3% (73/75) of CRE harbored QRDs. The

conclusionsOur study shows that testing difficulties in susceptibility testing do exist in automated systems. We suggest clinical laboratories using automated systems should consider using a second, independent antimicrobial susceptibility testing method to validate aminoglycosides and fluoroquinolones susceptibility.

Indexed as

AminoglycosidesAutomated identification systemsCarbapenem-resistant EnterobacteriaceaeFluoroquinolones

Identifiers

PMID28785404
PMCPMC5540471

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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.