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Interleukin-27 as a Diagnostic Biomarker for Patients with Sepsis: A Meta-Analysis.
- Source :
- BioMed Research International; 4/14/2021, p1-7, 7p
- Publication Year :
- 2021
-
Abstract
- Background. The present study was aimed to investigate the value of blood interleukin-27 (IL-27) as a diagnostic biomarker of sepsis. Methods. We searched PubMed, EMBASE, the Cochrane Library, and the reference lists of relevant articles. All studies published up to October 21, 2020, which evaluated the accuracy of IL-27 levels for the diagnosis of sepsis were included. All the selected papers were assessed using the Quality Assessment of Diagnostic Accuracy Studies-2 (QUADAS-2). We used a bivariate random effects model to estimate sensitivity, specificity, diagnostic odds ratios (DOR), and a summary receiver operating characteristic curve (SROC). Deeks' funnel plot was used to illustrate the potential presence of publication bias. Results. This meta-analysis included seven articles. The pooled sensitivity, specificity, and DOR were 0.85 (95% CI, 0.72-0.93), 0.72 (95% CI, 0.42-0.90), and 15 (95% CI, 3-72), respectively. The area under the summary receiver operating characteristic curve was 0.88 (95% CI, 0.84-0.90). The pooled I 2 statistic was 96.05 for the sensitivity and 96.65 for the specificity in the heterogeneity analysis. Deeks' funnel plot indicated no publication bias in this meta-analysis (P = 0.07). Conclusions. The present results showed that IL-27 is a reliable diagnostic biomarker of sepsis, but it should be investigated in combination with other clinical tests and results. [ABSTRACT FROM AUTHOR]
- Subjects :
- INTERLEUKINS
BIOMARKERS
ONLINE information services
STATISTICS
INFERENTIAL statistics
META-analysis
MEDICAL information storage & retrieval systems
INFORMATION storage & retrieval systems
MEDICAL databases
CONFIDENCE intervals
SYSTEMATIC reviews
SEPSIS
DESCRIPTIVE statistics
MEDLINE
STATISTICAL models
ODDS ratio
RECEIVER operating characteristic curves
Subjects
Details
- Language :
- English
- ISSN :
- 23146133
- Database :
- Complementary Index
- Journal :
- BioMed Research International
- Publication Type :
- Academic Journal
- Accession number :
- 149803968
- Full Text :
- https://doi.org/10.1155/2021/5516940