Objective To investigate the effect of Fujiguning Ointment and epidermal growth factor (EGF) on the wounds with bone exposed. Methods Forty-five rabbits were made the models of a 2 cm×5 cm wound on theback with exposure of 4 spinl process and vertebral lamina of thoracic vertebrae, and divided into 3 groupsaccording to different methods of therapy: Group A(Fujiguning OintmentEGF), Group B(Fujiguning Ointment) and Group C(normal saline). During experimental period of 60 days, the healing of wounds was observed and immunohistochemistry and in situ hybridization were employed to detect the expression of EGF/EGFR and EGF/EGFRmRNA in the granulation tissues. From February 2002 to May 2003, 23 cases of wounds with bone exposure werelocally treated with Fujiguning Ointment and EGF. First, Fujiguning Ointmentwas used to cover the wounds. After the granulation grew and covered the exposed bone, EGF was used to infiltrate the wound until the wound healed. Results The healing time of wounds with bone exposure was shorterin group A(30 days) than those in group B (45 dyas) and group C (60 dyas), showing statistically significant difference (Plt;0.01). EGF/EGFR increased significantly, the expression of EGF and EGF mRNA reached the peak at the 15th day, the expression of EGFR and EGFR mRNA reached the peak during the 15th and the 22nd days in the Fujiguning OintmentEGF group and Fujiguning Ointment group in comparison with normal saline group. Twentythree cases of wounds were cured and the average healing time was 51 days. Conclusion Fujiguning Ointment and EGF can promote the healing of the wounds with bone exposure.
Etiological and prognostic studies always directly reported effect size with its 95% confidence interval, hence, data transformation was needed when performing meta-analysis based on these studies. Using the data of risk ratio, hazard ratio, odds ratio and 95% confidence interval as an example, this paper introduces the process of using RevMan 5.3 software to convert data and perform meta-analysis.
To perform a meta-analysis of single nucleotide polymorphism needs to calculate gene frequency. This paper employs allele model as an example to introduce how to calculate gene frequency and display the process of a meta-analysis of single nucleotide polymorphism data using Review Manager 5.3 software.
The association between single nucleotide polymorphism and disease is a typical representation of genetic association studies. Compared with the traditional dichotomous data, single nucleotide polymorphism data has its own characteristics, and 5 genetic models are commonly performed in meta-analysis. In this paper, we show how to use the " meta” package in R software to conduct meta-analysis of single nucleotide polymorphism research through examples.
Objective To systematically review the relationship between periodontal disease and gastric cancer risk. Methods We retrieved PubMed, EMbase, CNKI, WanFang Data, VIP, and CBM databases to collect studies about the correlation between periodontal disease and gastric cancer from inception to January 31st, 2017. Two reviewers independently screened literature, extracted data and assessed the risk of bias of included studies. Then, meta-analysis was performed using RevMan 5.3 software. Results Five studies were included. The results of meta-analysis showed that there was no significant correlation between periodontal disease and gastric cancer (RR=0.99, 95%CI 0.83 to 1.19, P=0.93). Sensitivity analysis showed good stability. Subgroup analysis showed that the type of study, race and type of effect size have no statistically impact on the outcome, there was no significant correlation between periodontal disease and gastric cancer. Conclusion According to the current evidence, periodontal disease probably is not a risk factor of gastric cancer. Due to limited quality and quantity of the included studies, more high quality studies are needed to verify above conclusion.
ObjectivesTo systematically review the efficacy and safety of 3D laparoscopic in the treatment of colorectal cancer.MethodsPubMed, EMbase, The Cochrane Library, CBM, VIP, WanFang Data and CNKI databases were electronically searched online to collect clinical trials of 3D laparoscopic in the treatment of colorectal cancer from inception to September 1st, 2018. Two reviewers independently screened literature, extracted data and assessed the risk of bias of included studies. Meta-analysis was then performed using RevMan 5.3 software.ResultsA total of 26 trials, including 4 randomized controlled trials and 22 cohort studies were included. The results of meta-analysis showed that: compared with 2D laparoscopic, 3D laparoscopic had shorter operative time (MD=–16.32, 95%CI –22.61 to –10.03, P<0.000 01), less amount of blood transfusion in operation (MD=–10.80, 95%CI –19.93 to –1.66, P=0.02), more lymph node dissection (MD=0.88, 95%CI 0.30 to 1.45, P=0.003), shorter recovery time of gastrointestinal function (MD=–0.18, 95%CI –0.31 to –0.04, P=0.01), lower incidence of postoperative complication (OR=0.63, 95%CI 0.44 to 0.89, P=0.009), and fewer days in hospital (MD=–0.84, 95%CI –1.40 to –0.28, P=0.003). Additionally, there was no significant difference in hospitalization costs (MD=–0.01, 95%CI –0.23 to 0.21, P=0.94).ConclusionsCurrent evidence shows that, compared with 2D laparoscopy, 3D laparoscopy assisted colorectal cancer surgery has obvious advantages such as less bleeding during operation, shorter operation time, lower incidence of complications after operation, shorter hospitalization time and no increase in hospitalization expenses. Due to limited quality and quantity of the included studies, more high quality studies are required to verify above conclusions.
ObjectiveTo systematically review the association between periodontal disease and the incidence risk of colorectal cancer (CRC).MethodsPubMed, EMbase, WanFang Data and CNKI databases were searched to collect cohort studies and case-control studies for the association between periodontal disease and the incidence risk of CRC from inception to February 28th, 2017. Two reviewers independently screened literature, extracted data and assessed the risk of bias of included studies, then, meta-analysis was performed by using RevMan 5.3 software.ResultsA total of 5 prospective cohort studies were included. The results from adjusted data based meta-analysis showed that the periodontal disease was not associated with the incidence risk of CRC (RR=1.14, 95%CI 0.88 to 1.49, P=0.32).ConclusionsThe current evidence suggests that periodontal disease is not associated with the risk of CRC.