Evidence map›Paper›PMID 30258919›Full record

ArticleGenes & diseases2017

A novel method to detect bacterial resistance to disinfectants.

Xiao-Feng He, Hui-Jie Zhang, Jin-Gui Cao, Fang Liu, Jian-Kang Wang, Wen-Jie Ma, Wen Yin

Open access · diamondAbstract read
In one paragraph

Article in Genes & diseases, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
0.6field-weighted citation impact, top 36% 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

4 citing papers in PubMed, 11 citations in OpenAlex.

  1. Article
  2. Review
  3. Article
  4. 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 at 3 institutions in 1 country.

Xiao-Feng HeDepartment of Infection Control, Air Force General Hospital, Beijing 100142, China.
Hui-Jie ZhangMinistry of Education Key Laboratory of Diagnostic Medicine, College of Laboratory Medicine, Chongqing Medical University, Chongqing 400016, China.
Jin-Gui CaoDepartment of Infection Control, Air Force General Hospital, Beijing 100142, China.
Fang LiuDepartment of Infection Control, Air Force General Hospital, Beijing 100142, China.
Jian-Kang WangDepartment of Pharmacy, Air Force General Hospital, Beijing 100142, China.
Wen-Jie MaDepartment of Infection Control, Air Force General Hospital, Beijing 100142, China.
Wen YinDepartment of Transfusion Medicine, Xijing Hospital, The Fourth Military Medical University, Xi'an 710032, China.
Air Force General Hospital PLA · CNChongqing Medical University · CNXijing Hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In clinical practice, the important hygienic prevention of bacterial pathogen spread is disinfection of potentially contaminated area. Benzalkonium bromide and chlorhexidine acetate are commonly used disinfectants with a broad spectrum of anti-microbial effect. It is vital to inhibit the spread of pathogen in hospital. However, a large number of pathogens with the decreased antiseptic susceptibility have been isolated from clinical samples which showed an increased minimal inhibitory concentration (MIC) against those antiseptics. These resistant pathogens are the major causes for nosocomial cross-infections in hospital. The present study demonstrated the utility of Oxford plate assay system in determining the potential disinfectant resistance of bacteria. The microbiological assay is based on the inhibitory effect of tested disinfectants upon the strains of

Indexed as

Clinical technologyDisinfectants resistanceInhibitory efficacyOxford plate methodStaphylococcus aureus

Identifiers

PMID30258919
PMCPMC6147110
OpenAlexW2730696263

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.