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Incidence, temporal trend and factors associated with ventilator-associated pneumonia in mainland China: a systematic review and meta-analysis

Overview of attention for article published in BMC Infectious Diseases, July 2017
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Title
Incidence, temporal trend and factors associated with ventilator-associated pneumonia in mainland China: a systematic review and meta-analysis
Published in
BMC Infectious Diseases, July 2017
DOI 10.1186/s12879-017-2566-7
Pubmed ID
Authors

Chengyi Ding, Yuelun Zhang, Zhirong Yang, Jing Wang, Aoming Jin, Weiwei Wang, Ru Chen, Siyan Zhan

Abstract

Data to date is far from sufficient to describe the recent epidemiology of ventilator-associated pneumonia (VAP) in mainland China. This study aimed to estimate the overall incidence of VAP, with a special focus on its temporal trend and associated factors. Meta-analyses of 195 studies published from 2010 to 2015 were conducted, followed by subgroup analyses by methodological quality, pre-defined setting characteristics and attributes of populations. The overall cumulative VAP incidence in mainland China was 23.8% (95% confidence interval (CI) 20.6-27.2%), with the results showing high heterogeneity. The pooled incidence densities were 24.14 (95% CI 21.19-27.51) episodes and 22.83 (95% CI 19.88-26.23) patients per 1000 ventilator-days. A decline in the cumulative incidence was observed from 2006 (49.5%, 95% CI 40.0-59.0%) to 2014 (19.6%, 95% CI 10.4-31.0%); differences in the incidence rates were also documented according to Chinese provinces and diagnostic criteria (p < 0.001). Older age (≥60 years), coma, re-intubation, tracheotomy and prolonged ventilation were the factors significantly associated with the occurrence of VAP. The incidence of VAP remains high in mainland China but has decreased since 2006. The reported rates vary considerably across individual studies, probably due to variations in diagnosis and geographical region. More studies using standard definitions and cut-off points are needed to better clarify the epidemiology of VAP across the country.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 110 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 110 100%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 11 10%
Researcher 9 8%
Student > Postgraduate 8 7%
Student > Master 8 7%
Other 5 5%
Other 14 13%
Unknown 55 50%
Readers by discipline Count As %
Medicine and Dentistry 24 22%
Nursing and Health Professions 15 14%
Immunology and Microbiology 4 4%
Biochemistry, Genetics and Molecular Biology 3 3%
Pharmacology, Toxicology and Pharmaceutical Science 2 2%
Other 7 6%
Unknown 55 50%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 14 July 2017.
All research outputs
#18,560,904
of 22,988,380 outputs
Outputs from BMC Infectious Diseases
#5,648
of 7,717 outputs
Outputs of similar age
#239,980
of 313,608 outputs
Outputs of similar age from BMC Infectious Diseases
#133
of 188 outputs
Altmetric has tracked 22,988,380 research outputs across all sources so far. This one is in the 11th percentile – i.e., 11% of other outputs scored the same or lower than it.
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We're also able to compare this research output to 188 others from the same source and published within six weeks on either side of this one. This one is in the 18th percentile – i.e., 18% of its contemporaries scored the same or lower than it.