【Abstract】Objective To explore the application of RNA interference (RNAi) in colorectal cancer gene therapy. Methods The related literatures in recent years were reviewed. Results RNAi causes a high effective and distinctive degradation of mRNA homologous in sequence to the dsRNA. This new technology has been successfully applied to research the genesis and the growth of colorectal cancer.Conclusion RNAi has been a new focus in gene therapy for colorectal cancer.
Objectives To systematically review the efficacy of polytetrafluoroethylene (PTFE) covered stent grafts vs. bare stent grafts in transjugular intrahepatic portosystemic shunt (TIPS) for portal hypertension. Methods PubMed, EMbase, The Cochrane Library, and ClinicalTrial.gov were searched online to collect randomized controlled trials (RCTs) and cohort studies of PTFE-covered stent grafts vs. bare stent grafts for portal hypertension from inception to Jan 11th, 2017. Two reviewers independently screened literature, extracted data and assessed the risk of bias of included studies. Meta-analysis was then performed by RevMan 5.3 software. Results A total of 4 RCTs and 11 cohort studies involving 2 422 patients (1 070 PTFE-covered stent grafts patients and 1 352 bare stent grafts patients) were included. The results of meta-analysis showed that compared with the bare stent grafts group, the PTFE-covered stent grafts group had higher patency rate of intrahepatic shunt (HR=0.38, 95%CI 0.31 to 0.47, P<0.000 01) and survival rate (HR=0.59, 95%CI 0.44 to 0.79,P=0.000 5), lower postoperative complications rate (including gastrointestinal bleeding and refractory ascites) (HR=0.44, 95%CI 0.33 to 0.58, P<0.000 01) and encephalopathy rate (HR=0.76, 95%CI 0.57 to 0.99,P=0.05). Conclusions Current evidence shows that compared with the bare stent grafts, the PTFE-covered stent grafts could effectively improve patency rate of intrahepatic shunt and survival rate with less postoperative complications rate and encephalopathy rate. Due to limited quality and quantity of the included studies, more high quality studies are required to verify above conclusions.
ObjectiveTo summarize the experience of diagnosis and treatment on primary gastric lymphoma. MethodsThirtyseven patients, proved by pathology, were included in the study. ResultsAmong clinical presentation, the upper abdominal pain, intestinal bleeding, and weight loss were common. Only 4 cases were diagnosed as PGL in 33 cases with the examination of Xray barium meal, 88.5% ( 23 of 26 cases) were missdiagnosed as gastric ulcer under gastroscopy. All cases underwent operation, among them 33 had been performed a radical operation. The survival period was over 5 years in 12 of 25 patients who have been followed up. ConclusionThe multiple biopsy sampling from submucosal layer via gastroscope may improve diagnostic rate on primary gastric lymphoma. Operative removal of the tumor should be the first choice of treatment. Additional chemotherapy after the surgery increases the fiveyear survival rate.
The WinBUGS software can be called from either R (provided R2WinBUGS as an R package) or Stata software for network meta-analysis. Unlike R, Stata software needs to create relevant ADO scripts at first which simplify operation process greatly. Similar with R, Stata software also needs to load another package when drawing network plots. This article briefly introduces how to implement network meta-analysis using Stata software by calling WinBUGS software.
when we conducted a meta-analysis, it is often an annoying thing to deal with the data of discrete exposure and multiple outcomes. Conventional "high VS low" approach abandoned the information of middle category, and led to the loss of statistical power. In this paper, we introduced a method and software to combine the groups of discrete exposure and multiple outcomes in the meta-analysis of epidemiological studies. Firstly, we introduced the transforming and combination theory and method, and then, we conducted the combination using EXCEL macro software. The result was consistent with the results of the original data in the combination of discrete exposure and multiple outcome data. Therefore, in the case of the original research data cannot be acquired, EXCEL macro software can be a good solution.
Dose-response meta-analysis, as a subset of meta-analysis, plays an important role in dealing with the relationship between exposure level and risk of diseases. Traditional models limited in linear regression between the independent variables and the dependent variable. With the development of methodology and functional model, Nonlinear regression method was applied to dose-response meta-analysis, such as restricted cubic spline regression, quadratic B-spline regression. However, in these methods, the term and order of the independent variables have been assigned that may not suit for any trend distribution and it may lead to over fitting. Flexible fraction polynomial regression is a good method to solve this problem, which modelling a flexible fraction polynomial and choosing the best fitting model by using the likelihood-ratio test for a more accurate evaluation. In this article, we will discuss how to conduct a dose-response meta-analysis by flexible fraction polynomial.
Retinopathy of prematurity (ROP) is a serious ophthalmic disease threatening the vision of premature infants, characterized by abnormal retinal vascular development and pathological neovascularization. Its pathogenesis follows a two-stage model of “early hyperoxia inhibiting angiogenesis - late hypoxia promoting neovascularization,” in which oxidative stress damage, inflammatory immune activation, and abnormal expression of growth factors such as vascular endothelial growth factor and insulin-like growth factor-1 play key roles. Current studies indicate that the occurrence of ROP is closely associated with maternal factors (such as gestational hypertension, diabetes, smoking during pregnancy) and fetal factors (including low birth weight, low gestational age, inappropriate oxygen therapy, anemia, blood transfusion, multiple pregnancies, nutritional imbalances, infections, and genetic susceptibility), among which low birth weight and low gestational age are independent risk factors, while the clinical management of oxygen therapy parameters (duration, concentration, and fluctuations) is particularly important. Given the rapid progression, high blindness rate, and poor prognosis of ROP, there is an urgent need to achieve early precise identification and intervention through multifactorial integration models. Future research should further explore the interaction mechanisms of risk factors and develop individualized prevention and treatment strategies to improve the long-term quality of life for affected children.
Brain control is a new control method. The traditional brain-controlled robot is mainly used to control a single robot to accomplish a specific task. However, the brain-controlled multi-robot cooperation (MRC) task is a new topic to be studied. This paper presents an experimental research which received the "Innovation Creative Award" in the brain-computer interface (BCI) brain-controlled robot contest at the World Robot Contest. Two effective brain switches were set: total control brain switch and transfer switch, and BCI based steady-state visual evoked potentials (SSVEP) was adopted to navigate a humanoid robot and a mechanical arm to complete the cooperation task. Control test of 10 subjects showed that the excellent SSVEP-BCI can be used to achieve the MRC task by appropriately setting up the brain switches. This study is expected to provide inspiration for the future practical brain-controlled MRC task system.