Dental caries can compromise quality of life and is associated with demineralization of tooth structure by organic acids produced by microorganisms. This study systematically reviewed the dentine caries arrest capabilities of silver diamine fluoride (SDF) and sodium fluoride (NaF). A comprehensive search strategy was developed to identify the relevant publications in electronic databases and hand searched journals and reviews (to March 2018). By applying strict inclusion and exclusion criteria, only six papers (two randomized controlled trials, two follow-up articles and two secondary statistical analysis studies) were considered for full text qualitative and quantitative assessment. The included studies were critically appraised and statistically evaluated. Only four articles were considered for meta-analysis, as the other two were secondary analyses of included studies. When comparing the caries arrest lesions of SDF and NaF, SDF was found to be statistically more effective in dentine caries arrest of primary teeth during the 18 and 30 month clinical examinations. The weighted total effect size of the differences between SDF and NaF regarding arrested caries surfaces was calculated and showed nearly double the effectiveness of SDF to NaF at 30 months. Therefore, SDF is a more effective caries management reagent than NaF. Further clinical research is needed to consolidate the findings of this systematic review.

Introduction There is controversy if direct to comprehensive center “mothership” (MS) or stopping at primary center for thrombolysis before transfer to comprehensive center “drip-and- ship” (DS) are best models of treatment of acute stroke. In this study, we compare MS and DS models to evaluate the best option of functional outcome. Methods Studies between 1990 and 2020 were extracted from online electronic databases. We compared the clinical outcomes, critical time measurements, functional independence and mortality were then compared. Results A total of 7,824 patients’ data were retrieved from 13 publications (3 randomized control trials and 10 retrospective ones). 4,639 (59.3%) patients were treated under MS model and 3,185 (40.7%) followed the DS model with mean age of 70.01±3.58 vs. 69.03±3.36; p< 0 .001, respectively. The National Institute Health Stroke Scale was 15.57±3.83 for the MS and 15.72±2.99 for the DS model (p=<0.001). The mean symptoms onset-to-puncture time was significantly shorter in the MS group compared to the DS (159.69 min vs. 223.89 min; p=<0.001, respectively). Moreover, the collected data indicated no significant difference between symptom’s onset to intravenous (IV) thrombolysis time and stroke onset-to-successful recanalization time (p=0.205 and p=<0.001, respectively). Patients had significantly worse functional outcome [modified rankin score (mRS)] (3-6) at 90-days in the DS model [Odds Ratio (OR): 1.47, 95% Confidence Interval (CI): 1.13-1.92, p<0.004] and 1.49-folds higher likelihood of symptomatic intracerebral hemorrhage (OR: 1.49, 95%CI: 1.22-1.81, p<0.0001) compared to MS. However, there were no statistically significant difference in terms of mortality (OR: 1.16, 95%CI: 0.87-1.55, p=0.32) and successful recanalization (OR: 1.12, 95%CI: 0.76-1.65, p=0.56) between the two models of care. Conclusion Patients in the MS model have significantly improved functional independence and recovery. Further studies are needed as the data from prospectively randomized studies is not of sufficient quality to make definite recommendations.

Aim: The role of rifaximin in the prevention of Spontaneous Bacterial Peritonitis (SBP) is not well studied. The aim of this meta-analysis was to evaluate the role of rifaximin in the prevention of SBP. Methods: A computerized literature search for relevant clinical trials was conducted during August 2017. Data on Frequency of SBP, the success rate of prevention of SBP, mortality rate, hepatorenal syndrome, septic shock, hepatic encephalopathy, and GIT bleeding were extracted and pooled as Risk Ratio (RR) with their 95% Confidence Interval (CI) in a meta-analysis model. Heterogeneity was assessed by Chi-square test. Results: Six studies involving 973 patients were included in the final analysis. The pooled effect estimate showed that the rifaximin plus norfloxacin group had less incidence of SBP (RR 0.58, 95% CI[0.37, 0.92], P=0.02) and hepatic encephalopathy (RR 0.38, 95% CI[0.17, 0.84], P=0.02) than the norfloxacin-based regimen group. No significant difference between rifaximin and norfloxacin in terms of frequency of SBP and success rate of primary prevention of SBP (RR 0.49, 95% CI [0.24, 1.01], P=0.05; RR1.21, 95% CI [0.95, 1.55], P=0.13, respectively). Conclusion: Based on our analysis, Rifaximin is a promising drug and appears to be a good alternative to norfloxacin in the prevention of SBP.

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BACKGROUND Pre-operative prognostication of 30-day mortality in patients with carotid endarterectomy (CEA) can optimize surgical risk stratification and guide the decision-making process to improve survival. To develop and validate a set of predictive variables of 30-day mortality following CEA. METHODS The patient cohort was identified from the American College of Surgeons National Surgical Quality Improvement Program (2005–2016). We performed logistic regression (enter, stepwise and forward) and least absolute shrinkage and selection operator (LASSO) method for selection of variables, which resulted in 28-candidate models. The final model was selected based upon clinical knowledge and numerical results. RESULTS Statistical analysis included 65,807 patients with 30-day mortality in 0.7% (n = 466) patients. The median age of our cohort was 71.0 years (range, 16–89 years). The model with 9-predictive factors which included: age, body mass index, functional health status, American society of anesthesiologist grade, chronic obstructive pulmonary disorder, preoperative serum albumin, preoperative hematocrit, preoperative serum creatinine and preoperative platelet count—performed best on discrimination, calibration, Brier score and decision analysis to develop a machine learning algorithm. Logistic regression showed higher AUCs than LASSO across these different models. The predictive probability derived from the best model was converted into an open-accessible scoring system. CONCLUSION Machine learning algorithms show promising results for predicting 30-day mortality following CEA. These algorithms can be useful aids for counseling patients, assessing pre-operative medical risks, and predicting survival after surgery.