Evidence map›Paper›PMID 24705449›Full record

ArticlePloS one2014

Evaluation of an automated rapid diagnostic assay for detection of Gram-negative bacteria and their drug-resistance genes in positive blood cultures.

Masayoshi Tojo, Takahiro Fujita, Yusuke Ainoda, Maki Nagamatsu, Kayoko Hayakawa, Kazuhisa Mezaki, Aki Sakurai, Yoshinori Masui, Hirohisa Yazaki, Hiroshi Takahashi and 4 more

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 30 papers.

0numbers the graph read from it
0cells of the map it votes in
30citing papers in PubMed
7.1field-weighted citation impact, top 2% 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

30 citing papers in PubMed, 55 citations in OpenAlex.

  1. Rapid commercial CTX-M diagnostics: Performance, limitations and clinical impact.European journal of clinical microbiology & infectious diseases : official publication of the European Society of Clinical Microbiology · 2026
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  7. Detection of Multidrug-ResistantAntibiotics (Basel, Switzerland) · 2021
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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

14 authors at 2 institutions in 1 country.

Masayoshi TojoDisease Control and Prevention Center, Research Institute, National Center for Global Health and Medicine, Tokyo, Japan; Department of Infectious Diseases, Research Institute, National Center for Global Health and Medicine, Tokyo, Japan.
Takahiro FujitaDepartment of Infectious Diseases, Tokyo Women's Medical University, Tokyo, Japan.
Yusuke AinodaDepartment of Infectious Diseases, Tokyo Women's Medical University, Tokyo, Japan.
Maki NagamatsuDisease Control and Prevention Center, Research Institute, National Center for Global Health and Medicine, Tokyo, Japan; Department of Infectious Diseases, Research Institute, National Center for Global Health and Medicine, Tokyo, Japan.
Kayoko HayakawaDisease Control and Prevention Center, Research Institute, National Center for Global Health and Medicine, Tokyo, Japan.
Kazuhisa MezakiDepartment of Clinical Laboratory, National Center for Global Health and Medicine, Tokyo, Japan.
Aki SakuraiDepartment of Pulmonary Medicine, Kohnodai Hospital, National Center for Global Health and Medicine, Chiba, Japan.
Yoshinori MasuiDepartment of Internal Medicine, Kohnodai Hospital, National Center for Global Health and Medicine, Chiba, Japan.
Hirohisa YazakiAIDS Clinical Center, National Center for Global Health and Medicine, Tokyo, Japan.
Hiroshi TakahashiEast-West Diagnostics/Theranostics, LLC, San Francisco, California, United States of America.
Tohru Miyoshi-AkiyamaDepartment of Infectious Diseases, Research Institute, National Center for Global Health and Medicine, Tokyo, Japan.
Kyoichi TotsukaDepartment of Infectious Diseases, Tokyo Women's Medical University, Tokyo, Japan.
Teruo KirikaeDepartment of Infectious Diseases, Research Institute, National Center for Global Health and Medicine, Tokyo, Japan.
Norio OhmagariDisease Control and Prevention Center, Research Institute, National Center for Global Health and Medicine, Tokyo, Japan.
National Center for Global Health and Medicine · JPTokyo Women's Medical University · JP

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

We evaluated the performance of the Verigene Gram-Negative Blood Culture Nucleic Acid Test (BC-GN; Nanosphere, Northbrook, IL, USA), an automated multiplex assay for rapid identification of positive blood cultures caused by 9 Gram-negative bacteria (GNB) and for detection of 9 genes associated with β-lactam resistance. The BC-GN assay can be performed directly from positive blood cultures with 5 minutes of hands-on and 2 hours of run time per sample. A total of 397 GNB positive blood cultures were analyzed using the BC-GN assay. Of the 397 samples, 295 were simulated samples prepared by inoculating GNB into blood culture bottles, and the remaining were clinical samples from 102 patients with positive blood cultures. Aliquots of the positive blood cultures were tested by the BC-GN assay. The results of bacterial identification between the BC-GN assay and standard laboratory methods were as follows: Acinetobacter spp. (39 isolates for the BC-GN assay/39 for the standard methods), Citrobacter spp. (7/7), Escherichia coli (87/87), Klebsiella oxytoca (13/13), and Proteus spp. (11/11); Enterobacter spp. (29/30); Klebsiella pneumoniae (62/72); Pseudomonas aeruginosa (124/125); and Serratia marcescens (18/21); respectively. From the 102 clinical samples, 104 bacterial species were identified with the BC-GN assay, whereas 110 were identified with the standard methods. The BC-GN assay also detected all β-lactam resistance genes tested (233 genes), including 54 bla(CTX-M), 119 bla(IMP), 8 bla(KPC), 16 bla(NDM), 24 bla(OXA-23), 1 bla(OXA-24/40), 1 bla(OXA-48), 4 bla(OXA-58), and 6 blaVIM. The data shows that the BC-GN assay provides rapid detection of GNB and β-lactam resistance genes in positive blood cultures and has the potential to contributing to optimal patient management by earlier detection of major antimicrobial resistance genes.

Indexed as

Anti-Bacterial AgentsDrug Resistance, BacterialGram-Negative BacteriaGram-Negative Bacterial InfectionsHumansMicrobial Sensitivity TestsMolecular Diagnostic TechniquesAnti-Bacterial Agents

Identifiers

PMID24705449
PMCPMC3976387
OpenAlexW2046844943

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.