Evidence map›Paper›PMID 39754037›Full record

SynthesisBMC infectious diseases2025

Risk factors for bloodstream infection in COVID-19 patients in intensive care units: a systematic review and meta-analysis.

Jun Wang, Ting Jiang

Abstract readSystematic ReviewMeta-Analysis
In one paragraph

Synthesis in BMC infectious diseases, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Observational
  2. Article
  3. 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

2 authors.

Jun Wang *Laboratory Department, First Teaching Hospital of Tianjin University of Traditional Chinese Medicine, Tianjin, China. zyyfywj@163.com.
Ting Jiang *Intensive Care Unit, First Teaching Hospital of Tianjin University of Traditional Chinese Medicine, Tianjin, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundRisk factors for bloodstream infection in patients with COVID-19 in the intensive care unit (ICU) remain unclear. The purpose of this systematic review was to study the risk factors for BSI in patients admitted to ICUs for COVID-19.

methodsA systematic search was performed on PubMed, EMBASE, Cochrane Library, and Web of Science up to July 2024. Data were reported as combined odds ratio (OR) for categorical variables and weighted mean difference (WMD) for continuous variables.

results6914 studies were retrieved, of which 55 were included in the meta-analysis. Men (OR = 1.28, 95% CI: 1.10-1.50, P = 0.006), high SAPS II score (WMD = 6.43, 95% CI: 0.23-12.63, P = 0.042), diabetes (OR = 1.34, 95% CI: 1.04-1.73, P = 0.022), tracheal intubation (OR = 8.68, 95% CI: 4.68-16.08, P < 0.001), mechanical ventilation (OR = 22.00, 95% CI: 3.77-128.328, P < 0.001), ECMO (OR = 2.70, 95% CI: 1.17-6.26, P = 0.020), central venous cannulation (OR = 9.33, 95% CI: 3.06-28.43, P < 0.001), prolonged ICU stay (WMD = 10.37, 95% CI: 9.29-11.44, P < 0.001), methylprednisolone use (OR = 2.24, 95% CI: 1.24-4.04, P = 0.008), and the combination of methylprednisolone and Tocilizumab (OR = 4.54, 95% CI: 1.09-18.88, P = 0.037) were risk factors for ICU-BSI in COVID-19 patients.

conclusionWe identified 10 risk factors for ICU-BSI in COVID-19 patients. In future studies, these factors can be combined to establish a more comprehensive and accurate prediction model for ICU-BSI in COVID-19 patients. Targeted measures can be taken earlier to control BSI.

Indexed as

COVID-19Intensive Care UnitsSARS-CoV-2BacteremiaFemaleHumansMaleRespiration, ArtificialRisk FactorsBloodstream infectionCOVID-19ICUMeta-analysis

Identifiers

PMID39754037
PMCPMC11697680

What OpenQuestion holds

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LicenceCC BY
Read underepoch 390

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.