Evidence map›Paper›PMID 36726386›Full record

ArticleInfection and drug resistance2023

Clinical Impact and Risk Factors of Intensive Care Unit-Acquired Nosocomial Infection: A Propensity Score-Matching Study from 2018 to 2020 in a Teaching Hospital in China.

Yanhui Wang, Jian Ren, Zhiqing Yao, Wei Wang, Siyang Wang, Junfang Duan, Zhen Li, Huizi Zhang, Ruiqin Zhang, Xiaoru Wang

Open access · goldAbstract read
In one paragraph

Article in Infection and drug resistance, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed, 1 pooled it
3.6field-weighted citation impact, top 6% 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

12 citing papers in PubMed, 1 synthesis or guideline pooled it, 17 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Review
  8. Article
  9. Review
  10. Epidemiology of nosocomialIranian journal of microbiology · 2023
    Article
  11. Image recognition of traditional Chinese medicine based on deep learning.Frontiers in bioengineering and biotechnology · 2023
    Article
  12. Review
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

10 authors at 2 institutions in 2 countries.

Yanhui Wang *College of Pharmacy, Shanxi Medical University, Taiyuan, Shanxi, People's Republic of China.
Jian Ren *Department of Pharmacy, Second Hospital of Shanxi Medical University, Taiyuan, Shanxi, People's Republic of China.
Zhiqing YaoCollege of Pharmacy, Shanxi Medical University, Taiyuan, Shanxi, People's Republic of China.
Wei WangIntensive Care Unit, Second Hospital of Shanxi Medical University, Taiyuan, Shanxi, People's Republic of China.
Siyang WangDepartment of Pharmacy, Second Hospital of Shanxi Medical University, Taiyuan, Shanxi, People's Republic of China.
Junfang DuanIntensive Care Unit, Second Hospital of Shanxi Medical University, Taiyuan, Shanxi, People's Republic of China.
Zhen LiCollege of Pharmacy, Chonnam National University, Gwangju, Korea.
Huizi ZhangCollege of Pharmacy, Shanxi Medical University, Taiyuan, Shanxi, People's Republic of China.ORCID 0000-0001-8064-9616
Ruiqin ZhangDepartment of Pharmacy, Second Hospital of Shanxi Medical University, Taiyuan, Shanxi, People's Republic of China.
Xiaoru WangIntensive Care Unit, Second Hospital of Shanxi Medical University, Taiyuan, Shanxi, People's Republic of China.
Shanxi Medical University · CNChonnam National University · KR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Purpose: Nosocomial infection (NI) is associated with poor prognosis. The present study assessed the clinical and microbiological characteristics of NI patients in the intensive care unit (ICU) and investigated the clinical impact and risk factors for NI in ICU patients. Patients and Methods: An observational study was conducted in an adult general ICU. The electronic medical records of all patients admitted to the ICU for >2 days from 2018-2020 were analyzed retrospectively. Multivariate regression models were used to analyze the risk factors for NI in ICU patients. Propensity score-matching (PSM) was used to control the confounding factors between the case and control groups, thus analyzing the clinical impact of NIs. Results: The present study included 2425 patient admissions, of which 231 (9.53%) had NI. Conclusion: NI was associated with poor outcomes. The risk factors for NI identified in this study provided further insight into preventing NI.

Indexed as

epidemiologyintensive care unitNorth Chinanosocomial infectionpropensity score-matchingretrospective study

Identifiers

PMID36726386
PMCPMC9885966
OpenAlexW4318066020

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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.