Treatment with Rapamycin in Animal Models of Traumatic Brain Injuries; a Systematic Review and Meta-Analysis.

Introduction: In light of the potential of enhanced functional and neurological recovery in traumatic brain injury (TBI) with the administration of rapamycin, this systematic review and meta-analysis aimed to investigate the efficacy of rapamycin treatment in animal models of TBI. Methods: An extensive search was conducted in the electronic databases of Medline, Embase, Scopus, and Web of Science by July 1st, 2023. Two independent researchers performed the screening process by reviewing the titles and abstracts and the full texts of the relevant articles, including those meeting the inclusion criteria. Apoptosis rate, inflammation, locomotion, and neurological status were assessed as outcomes. A standardized mean difference (SMD) with a 95% confidence interval (95%CI) was calculated for each experiment, and a pooled effect size was reported. Statistical analyses were performed using STATA 17.0 software. Results: Twelve articles were deemed eligible for inclusion in this meta-analysis. Pooled data analysis indicated notable reductions in the number of apoptotic cells (SMD for Tunnel-positive cells = -1.60; 95%CI: -2.21, -0.99, p<0.001), p-mTOR (SMD=-1.41; 95%CI: -2.03, -0.80, p<0.001), and p-S6 (SMD=-2.27; 95%CI: -3.03, -1.50, p<0.001) in TBI post-treatment. Our analysis also indicated substantial IL-1ß reductions after rapamycin administration (SMD= -1.91; 95%CI: -2.61, -1.21, p<0.001). Moreover, pooled data analysis found significant neurological severity score (NSS) improvements at 24 hours (SMD= -1.16; 95%CI: -1.69, -0.62, p<0.001; I²=0.00%), 72 hours (SMD= -1.44; 95%CI: -2.00, -0.88, p<0.001; I²=0.00%), and 168 hours post-TBI (SMD= -1.56; 95%CI: -2.44, -0.68, p<0.001; I²=63.37%). No such improvement was observed in the grip test. Conclusion: Low to moderate-level evidence demonstrated a significant decrease in apoptotic and inflammatory markers and improved neurological status in rodents with TBI. However, no such improvements were observed in locomotion recovery.

Prognostic accuracy of emergency surgery score: a systematic review.

PURPOSE: This systematic review aimed to summarize the literature regarding the prognostic accuracy of the emergency surgery score (ESS). METHOD: PubMed, Embase, Web of Science, and Scopus were comprehensively searched by May 30, 2023. Two independent researchers performed the initial screening by reviewing the titles and abstracts of the non-duplicate records and selecting the full text of articles meeting our inclusion criteria. Finally, original studies that reported the prognostic accuracy of ESS in any emergency surgeries were included. Data from the included studies were extracted into a checklist designed based on the PRISMA guidelines. The area under the curve (AUC) was used to compare the prognostic accuracy of ESS in different settings. RESULTS: Twenty-six studies met the inclusion criteria. ESS performed excellently in 30-day post-op mortality (AUC 0.84-0.89) and incidence of cardiac arrest (AUC 0.86-0.88) in emergency general surgeries. The AUC of ESS in overall 30-day morbidities varied from 0.72 to 0.82 in five cohort studies. In predicting the need for ICU admission, the study with the largest sample size reported the best sensitivity of ESS at 80% and the specificity at 85%. Moreover, an outstanding accuracy was observed for the prediction of 30-day sepsis/septic shock in emergency general surgeries (AUC 0.75-0.92). CONCLUSION: Despite the acceptable prognostic accuracy of ESS in 30-day mortality, morbidities, and in-hospital ICU admission in different emergency surgeries, the high number of required variables and the high probability of missing data highlight the need for modifications to this scoring system.

The value of Coronary Artery Disease - Reporting and Data System (CAD-RADS) in Outcome Prediction of CAD Patients; a Systematic Review and Meta-analysis.

Introduction: Coronary computed tomographic angiography (CCTA) reporting has traditionally been operator-dependent, and no precise classification is broadly used for reporting Coronary Artery Disease (CAD) severity. The Coronary Artery Disease Reporting and Data Systems (CAD-RADS) was introduced to address the inconsistent CCTA reports. This systematic review with meta-analysis aimed to comprehensively appraise all available studies and draw conclusions on the prognostic value of the CAD-RADS classification system in CAD patients. Method: Online databases of PubMed, Embase, Scopus, and Web of Science were searched until September 19th, 2022, for studies on the value of CAD-RADS categorization for outcome prediction of CAD patients. Results: 16 articles were included in this systematic review, 14 of which had assessed the value of CAD-RADS in the prediction of major adverse cardiovascular events (MACE) and 3 articles investigated the outcome of all-cause mortality. Our analysis demonstrated that all original CAD-RADS categories can be a predictor of MACE [Hazard ratios (HR) ranged from 3.39 to 8.63] and all categories, except CAD-RADS 1, can be a predictor of all-cause mortality (HRs ranged from 1.50 to 3.09). Moreover, higher CAD-RADS categories were associated with an increased hazard ratio for unfavorable outcomes among CAD patients (p for MACE = 0.007 and p for all-cause mortality = 0.018). Conclusion: The evidence demonstrated that the CAD-RADS classification system can be used to predict incidence of MACE and all-cause mortality. This indicates that the implementation of CAD-RADS into clinical practice, besides enhancing the communication between physicians and improving patient care, can also guide physicians in risk assessment of the patients and predicting their prognosis.