Evidence map›Paper›PMID 28811583›Full record

ArticleScientific reports2017

Bacterial diversity among four healthcare-associated institutes in Taiwan.

Chang-Hua Chen, Yaw-Ling Lin, Kuan-Hsueh Chen, Wen-Pei Chen, Zhao-Feng Chen, Han-Yueh Kuo, Hsueh-Fen Hung, Chuan Yi Tang, Ming-Li Liou

Abstract readMulticenter Study
In one paragraph

Article in Scientific reports, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing 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

14 citing papers in PubMed.

  1. Article
  2. Article
  3. Spatial Variations in the Nasal Microbiota of Staff Working in a Healthcare-Associated Research Core Facility.Medical principles and practice : international journal of the Kuwait University, Health Science Centre · 2024
    Article
  4. Article
  5. Article
  6. Review
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Exploring the Hospital Microbiome by High-Resolution 16S rRNA Profiling.International journal of molecular sciences · 2019
    Article
  14. 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

9 authors.

Chang-Hua ChenDivision of Infectious Diseases, Department of Internal Medicine, Changhua Christian Hospital, Changhua City, Taiwan.
Yaw-Ling LinDepartment of Computer Science and Information Engineering, Providence University, Taichung City, Taiwan.
Kuan-Hsueh ChenDepartment of Computer Science and Information Engineering, Providence University, Taichung City, Taiwan.
Wen-Pei ChenDepartment of Applied Chemistry, Providence University, Taichung City, Taiwan.
Zhao-Feng ChenDepartment of Nursing, Yuanpei University of Medical Technology, Hsin-Chu City, Taiwan.
Han-Yueh KuoDepartment of Medicine, National Taiwan University Hospital Hsin-Chu Branch, Hsin-Chu City, Taiwan.
Hsueh-Fen HungDepartment of Environmental Engineering and Health, Yuanpei University of Medical Technology, Hsin-Chu City, Taiwan.
Chuan Yi TangDepartment of Computer Science and Information Engineering, Providence University, Taichung City, Taiwan.
Ming-Li LiouDepartment of Medical Laboratory Science and Biotechnology, Yuanpei University of Medical Technology, Hsin-Chu City, Taiwan. d918229@gmail.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Indoor microbial communities have important implications for human health, especially in health-care institutes (HCIs). The factors that determine the diversity and composition of microbiomes in a built environment remain unclear. Herein, we used 16S rRNA amplicon sequencing to investigate the relationships between building attributes and surface bacterial communities among four HCIs located in three buildings. We examined the surface bacterial communities and environmental parameters in the buildings supplied with different ventilation types and compared the results using a Dirichlet multinomial mixture (DMM)-based approach. A total of 203 samples from the four HCIs were analyzed. Four bacterial communities were grouped using the DMM-based approach, which were highly similar to those in the 4 HCIs. The α-diversity and β-diversity in the naturally ventilated building were different from the conditioner-ventilated building. The bacterial source composition varied across each building. Nine genera were found as the core microbiota shared by all the areas, of which Acinetobacter, Enterobacter, Pseudomonas, and Staphylococcus are regarded as healthcare-associated pathogens (HAPs). The observed relationship between environmental parameters such as core microbiota and surface bacterial diversity suggests that we might manage indoor environments by creating new sanitation protocols, adjusting the ventilation design, and further understanding the transmission routes of HAPs.

Indexed as

BiodiversityEnvironmental MicrobiologyHealth FacilitiesBacteriaCross InfectionHigh-Throughput Nucleotide SequencingHumansMetagenomicsMicrobiotaPhylogenyRNA, Ribosomal, 16STaiwanRNA, Ribosomal, 16S

Identifiers

PMID28811583
PMCPMC5557925

What OpenQuestion holds

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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.