Evidence map›Paper›PMID 34683029›Full record

ArticleHealthcare (Basel, Switzerland)2021

Increased Involvement of

Yu-Ren Lin, Yen-Yue Lin, Chia-Peng Yu, Ya-Sung Yang, Chun-Gu Cheng, Chun-An Cheng

Open access · goldAbstract read
In one paragraph

Article in Healthcare (Basel, Switzerland), 2021. 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
–field-weighted citation impact, top 85% 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, 3 citations in OpenAlex.

  1. Article
  2. Article
  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

6 authors at 1 institution in 1 country.

Yu-Ren LinNational Defense Medical Center, Department of Emergency Medicine, Taoyuan Armed Forces General Hospital, Taoyuan 32549, Taiwan.
Yen-Yue LinNational Defense Medical Center, Department of Emergency Medicine, Taoyuan Armed Forces General Hospital, Taoyuan 32549, Taiwan.ORCID 0000-0001-6885-2523
Chia-Peng YuDepartment of Medical Research, Tri-Service General Hospital, Taipei 11490, Taiwan.ORCID 0000-0002-5961-0554
Ya-Sung YangNational Defense Medical Center, Department of Infection Medicine, Tri-Service General Hospital, Taipei 11490, Taiwan.
Chun-Gu ChengNational Defense Medical Center, Department of Emergency Medicine, Taoyuan Armed Forces General Hospital, Taoyuan 32549, Taiwan.ORCID 0000-0002-1081-760X
Chun-An ChengNational Defense Medical Center, Department of Neurology, Tri-Service General Hospital, Taipei 11490, Taiwan.ORCID 0000-0002-0380-7286
Tri-Service General Hospital · TW

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundHealthcare-associated infections (HAIs) cause increases in length of stay, mortality, and healthcare costs. A previous study conducted in Taiwan obtained similar results to those reported in Korea and Japan in 2015. Changes in microorganisms have been noted in recent years. Understanding the recent condition of HAIs in intensive care units (ICUs) can enable healthcare providers to develop effective infection control protocols to reduce HAIs.

methodsWe used the Taiwan Nosocomial Infection Surveillance System to evaluate the incidence densities of HAIs, the proportions of causative pathogens, and the proportions of antimicrobial resistance (AMR). The Poisson regression model was constructed to incidence density, and the chi-square test was used to assess proportion.

resultsThe incidence density of HAIs decreased 5.7 to 5.4 per 1000 person-days. However, the proportions of

conclusionAnalysis of the microorganisms involved in HAIs in ICUs showed elevated proportions of

Indexed as

antimicrobial resistancehealthcare-associated infectionsintensive care unit

Identifiers

PMID34683029
PMCPMC8544546
OpenAlexW3205418423

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.