ObjectiveTo systematically review the diagnostic value of capsule endoscopy and enteroscopy in small intestinal diseases.MethodsPubMed, The Cochrane Library, Web of Science, CNKI, WanFang Data, and VIP databases were electronically searched to collect studies on the diagnosis of intestinal diseases by capsule endoscopy and enteroscopy from inception to August 31st, 2020. Two reviewers independently screened literature, extracted data and assessed risk bias of included studies. Meta-analysis was then performed by using RevMan 5.3 and Meta-DiSc software.ResultsA total of 20 studies were included. The pooled sensitivity, specificity, positive likelihood ratio, negative likelihood ratio and diagnostic odds ratio for capsule endoscopy were 0.86 (95%CI 0.83 to 0.87), 0.81 (95%CI 0.78 to 0.84), 117.07 (95%CI 37.98 to 360.92), 7.20 (95%CI 2.81 to 18.45), 0.11 (95%CI 0.06 to 0.21), and those for enteroscopy were 0.89 (95%CI 0.87 to 0.90), 0.91 (95%CI 0.89 to 0.93), 196.99 (95%CI 72.63 to 534.26), 13.26 (95%CI 5.00 to 35.14), 0.12 (95%CI 0.07 to 0.21). The areas under the working characteristic curve (SROC) of capsule endoscopy and enteroscopy were 0.9692 and 0.9783, respectively.ConclusionsBoth capsule endoscopy and enteroscopy have high specificity and sensitivity in the diagnosis of small intestinal diseases, and enteroscopy has higher clinical value in the diagnosis of some small intestinal diseases than capsule endoscopy. Due to limited quantity and quality of the included studies, the above conclusions are required to be verified by more high-quality studies.
Objective To evaluate the correlation of TNF-α G308A polymorphism and rheumatic heart disease (RHD) using meta-analysis. Methods Databases including PubMed, EMbase, CNKI and WanFang Data were searched to collect case-control study on the correlation of TNF-α G308A polymorphism and RHD, published from January 1990 to June 2011. Two reviewers independently screened studies according to the inclusion and exclusion criteria, extracted data and evaluated the methodological quality of the included studies. Then meta-analysis was performed using RevMan 5.1 and SPSS 16.0. Results A total of 5 studies were included, involving 539 RHD cases and 624 controls. The results of meta-analysis according to recessive genetic model of TNF-α G308A showed that there were significant differences in RHD risk between the AA genotype carriers and the GA+GG genotype carries (OR=5.06, 95%CI 2.15 to 11.89, P=0.0002), the same as the results of meta-analysis calculated according to dominant genetic model (OR=3.14, 95%CI 1.05 to 9.38, P=0.04). Conclusion Current evidence shows that TNF-α G308A polymorphism is related to RHD, and the AA genotype carriers tend to face an increasing RHD risk. This conclusion still needs to be further proved by more high-quality and large-scale clinical trials.
Objective To investigate expressions of silence signal regulating factor-1 (SIRT-1) and epithelial cadherin (E-cadherin) in gastric cancer and their clinical significances. Methods The immunohistochemistry SP technique was used to detect the expressions of SIRT-1 and E-cadherin in the gastric cancer tissues and their corresponding paracancerous gastric tissues. The relationship between the SIRT-1 expression and E-cadherin expression was analyzed using Spearman. Results The positive rate of the SIRT-1 protein expression in the gastric cancer tissues was significantly higher than that of the corresponding paracancerous gastric tissues (χ2=5.791, P=0.016). The SIRT-1 protein positive expression was related to the Lauren histological type of gastric cancer (χ2=4.941, P=0.026), in other words, in the intestinal type was significantly higher than that of the diffuse type, but which was not related to the age, gender, tumor size, tumor site, differentiation degree, TNM stage, or lymph node metastasis (P>0.05). While the positive rate of the E-cadherin protein expression in the gastric cancer tissues was significantly lower than that of the corresponding paracancerous gastric tissues (χ2=10.868, P=0.001), which in the intestinal type of gastric cancer was significantly lower than that in the diffuse type of gastric cancer (χ2=5.203, P=0.023), also not related to the age, gender, tumor size, tumor site, differentiation degree, TNM stage, or lymph node metastasis (P>0.05). There was a negative correlation between the SIRT-1 protein and the E-cadherin protein (rs=–0.381, P=0.013). Conclusions Gastric cancer with higher SIRT-1 expression might be way to achieve tumor development through E-cadherin as a facilitator. Upregulation of SIRT-1 and declining of E-cadherin might play a possible role in intestinal type gastric cancer.
There is a shared problem in current optical imaging technologies of how to obtain the optical parameters of biological tissues with complex profiles. In this work, an imaging system for obtaining the optical parameters of biological tissues with complex profile was presented. Firstly, Fourier transformation profilometry was used for obtaining the profile information of biological tissues, and then the difference of incident light intensity at different positions on biological tissue surface was corrected with the laws of illumination, and lastly the optical parameters of biological tissues were achieved with the spatial frequency domain imaging technique. Experimental results indicated the proposed imaging system could obtain the profile information and the optical parameters of biological tissues accurately and quickly. For the slab phantoms with height variation less than 30 mm and angle variation less than 40º, the maximum relative errors of the profile uncorrected optical parameters were 46.27% and 72.18%, while the maximum relative errors of the profile corrected optical parameters were 6.89% and 10.26%. Imaging experiments of a face-like phantom and a human’s prefrontal lobe were performed respectively, which demonstrated the proposed imaging system possesses clinical application value for the achievement of the optical parameters of biological tissues with complex profiles. Besides, the proposed profile corrected method can be used to combine with the current optical imaging technologies to reduce the influence of the profile information of biological tissues on imaging quality.