Accuracy of intercellular adhesion molecule-1 for diagnosing sepsis: A systematic review and meta-analysis protocol.
Medicine (Baltimore). 2019 Jun;98(24):e16019
Authors: Li XJ, Tan EL, Zhao CP, Yan J
Abstract
BACKGROUND: Sepsis is a complex and life-threatening systemic disease. A positive blood culture is the criterion standard of diagnosis for sepsis; however, it does not produce results for 24 to 72 hours. Besides, the clinical manifestations of sepsis are variable and nonspecific. Therefore, a new diagnostic biomarker for diagnosis of sepsis should be developed. The present study aims to assess the diagnostic value of intercellular adhesion molecule-1 (ICAM-1) in individuals with sepsis.
METHODS: The literature will be searched in PubMed, EMBASE, the Cochrane Library, and Web of Science databases from the inception of each database up to June 2019. The methodological quality of eligible study will be assessed by Quality Assessment of Diagnostic Accuracy Studies tool-2 (QUADAS-2). Stata 15.1 software (version 15.1, Stata Corporation) will be used to calculate the pooled sensitivity, pooled specificity, pooled positive likelihood ratio, pooled negative likelihood ratio, pooled diagnostic odds ratio, pre-test probability, post-test probability, and summary receiver-operating characteristic curve for diagnostic value of ICAM-1. The I statistic will be used to test heterogeneity. Subgroup analysis will be used to explore the source of inconsistency. GRADE (Grading of Recommendations Assessment, Development, and Evaluation) system will be used to assess the certainty of evidence. This study will be conducted fully following the Preferred Reporting Items for Systematic Reviews and Meta-Analyses of diagnostic test accuracy.
RESULTS AND CONCLUSIONS: Our study will detect the potential of ICAM-1 for diagnosing the patients with sepsis and the results will be submitted to a peer-reviewed journal.
DISCUSSION: The evidence will indicate that ICAM-1 is a valuable biomarker for detecting sepsis. This is a protocol of systematic review and meta-analysis, so the ethical approval and patient consent are not required.
PMID: 31192950 [PubMed - in process]