Evidence map›Paper›PMID 31214618›Full record

ArticleBioMed research international2019

Laboratory and Clinical Evaluation of DNA Microarray for the Detection of Carbapenemase Genes in Gram-Negative Bacteria from Hospitalized Patients.

Yi Song, Fengna Dou, Sha He, Yu Zhou, Qiqi Liu

Open access · hybridAbstract readEvaluation Study
In one paragraph

Article in BioMed research international, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.1field-weighted citation impact, top 61% 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

2 citing papers in PubMed, 6 citations in OpenAlex.

  1. Review
  2. Review
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 3 institutions in 1 country.

Yi SongBeijing Institute of Radiation Medicine, Beijing, China.ORCID 0000-0001-5240-462X
Fengna DouBeijing Institute of Radiation Medicine, Beijing, China.
Sha HeThe First Hospital of Hebei Medical University, Hebei, China.
Yu ZhouClinical Laboratory of Second Medical Center of PLA General Hospital, Beijing, China.ORCID 0000-0003-3456-1853
Qiqi LiuBeijing Institute of Radiation Medicine, Beijing, China.ORCID 0000-0002-1534-0919
Beijing Radiation Center · CNChinese PLA General Hospital · CNHebei Medical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe prevalence of a variety of carbapenemases in Gram-negative bacteria (GNB) has posed a global threat on clinical control and management. Monitoring and controlling the carbapenemase-producing GNB became imperative tasks for many healthcare centers. The aim of this study was to develop a high-throughput, specific, sensitive, and rapid DNA microarray-based method for the diagnosis, phenotypic confirmation, and molecular epidemiological study of carbapenemase genes.

methodsWe targeted a panel of eight carbapenemase genes, including

resultsEight carbapenemase genes could be detected with high sensitivity and specificity. The absolute LOD of this strategy to detect serially diluted plasmids of eight carbapenemase genes was 10

conclusionsThe proposed ultrasensitive CL imaging DNA hybridization has high specificity, sensitivity, and reproducibility and could detect and differentiate clinical specimens that carried various carbapenemase genes, suggesting that the method can conveniently be customized for high-throughput detection of the carbapenemase-producing GNB and can be easily adapted for various clinical applications.

Indexed as

Gram-Negative BacteriaOligonucleotide Array Sequence AnalysisBacterial Proteinsbeta-LactamasesDNA, BacterialBacterial Proteinsbeta-LactamasescarbapenemaseDNA, Bacterial

Identifiers

PMID31214618
PMCPMC6535891
OpenAlexW2946492000

What OpenQuestion holds

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LicenceCC BY
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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.