Factors affecting prognosis in traumatic cerebral contusions: A protocol for a systematic review and meta-analysis
Abstract
Background Traumatic cerebral contusion (CC) is a severe type of injury among traumatic brain injury (TBI) patients. Individuals with traumatic CC typically exhibit rapid deterioration in their condition, leading to increased mortality rates. Despite this, there is a gap in evidence-based research. This study aims to identify the risk factors associated with adverse outcomes in patients with traumatic CC, with a particular focus on relevant biomarkers. Mortality will be the primary outcome, while the Glasgow Coma Scale (GCS) score will be considered as a secondary outcome. Methods and analysis We intend to conduct a comprehensive search through multiple Chinese and English repositories, covering the duration from the establishment of these databases up to the current era, in order to pinpoint appropriate studies. Additionally, a manual search of the references within the included literature and other pertinent works will be undertaken. The primary endpoint of this study will be the survival status of patients with traumatic brain contusion. Meta-analysis will be executed using STATA 16.0 (Stata Corporation, College Station, TX). Article selection and data extraction will be performed independently by two reviewers. The assessment of bias risks will be conducted via the Cochrane Collaboration’s tool. Depending on the heterogeneity evaluation, either a fixed-effect model or a random-effects model will be applied. Subgroup and sensitivity analyses will be conducted as needed. The examination of publication bias will be carried out, and the quality of evidence for the primary outcomes will be graded. Trial registration number: CRD42023389456
Article Details
Authors (8)
Chao Li
Zhaoyin Su
Shulu Deng
Binhao Zhang
Junlong Qin
Key Laboratory of Bioorganic Chemistry and Molecular Engineering, Ministry of Education and Beijing National Laboratory for Molecular Science, College of Chemistry and Molecular Engineering
Kun Wu
Yanzong Zhao
Yao Liu