Evidence map›Paper›PMID 28116119›Full record

ArticleJournal of pharmaceutical health care and sciences2017

Comparison of 16S ribosomal RNA gene sequence analysis and conventional culture in the environmental survey of a hospital.

Akihiro Manaka, Yutaka Tokue, Masami Murakami

Abstract read
In one paragraph

Article in Journal of pharmaceutical health care and sciences, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing 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

10 citing papers in PubMed.

  1. Article
  2. Observational
  3. Article
  4. Article
  5. Global airborne bacterial community-interactions with Earth's microbiomes and anthropogenic activities.Proceedings of the National Academy of Sciences of the United States of America · 2022
    Article
  6. Review
  7. Article
  8. Article
  9. Article
  10. 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

3 authors.

Akihiro ManakaDepartment of Clinical Laboratory Medicine, Gunma University Graduate School of Medicine, Maebashi, Gunma Japan.
Yutaka TokueInfection Control and Prevention Center, Gunma University Hospital, 3-39-15 Showa-machi, Maebashi, Gunma Japan.
Masami MurakamiDepartment of Clinical Laboratory Medicine, Gunma University Graduate School of Medicine, Maebashi, Gunma Japan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundNosocomial infection is one of the most common complications within health care facilities. Certain studies have reported outbreaks resulting from contaminated hospital environments. Although the identification of bacteria in the environment can readily be achieved using culturing methods, these methods detect live bacteria. Sequencing of the 16S ribosomal RNA (16S rRNA) gene is recognized to be effective for bacterial identification. In this study, we surveyed wards where drug-resistant bacteria had been isolated and compared conventional culture methods with 16S rRNA gene sequencing methods.

methodsSamples were collected using sterile swabs from two wards (northern and southern) at Gunma University Hospital contaminated by

resultsIn the northern ward,

conclusionsMolecular biological analysis showed a higher sensitivity to detect specific bacteria and detected a greater number of species than the culture method. Our results suggest that 16S rRNA gene sequencing analysis is useful to identify range of contamination which were not found in conventional culture method. When a nosocomial outbreak cannot be adequately controlled, molecular biological analysis may serve as a useful tool for environmental surveys in hospitals.

Indexed as

16S ribosomal RNAAcinetobacter spHospital environmentInfection controlNosocomial infection

Identifiers

PMID28116119
PMCPMC5247807

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Registered trials

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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.