Objective To evaluate the diagnostic accuracy of the aberrant methylation of genes in stool for colorectal tumor. Methods Databases including The Cochrane Library, PubMed, EMbase, CBM, Web of Science, CNKI and WanFang Data were searched to collect the diagnostic trials on the aberrant methylation of genes in stool for colorectal tumor published from January 1990 to February 2012. QUADAS items were used to evaluate the quality of the included studies, and the meta-analysis was conducted using Meta-Disc 1.4 software. Results A total of 32 studies involving 3 951 patients were included. The results of meta-analysis showed that, for detecting the colorectal tumor, the weighted sensitivity, specificity, diagnostic odds ratio (DOR), area under the summary receiver operating characteristic (SROC) curve and Q were 92% (95%CI 91% to 93%), 63% (95%CI 61% to 65%), 20.79 (95%CI 15.13 to 28.57), 0.861 9 (SE=0.020 4), and 0.792 6 (SE=0.019 8), respectively. For detecting the colorectal cancer, the weighted sensitivity, specificity and area under the curve (AUC) were 91% (95%CI 89% to 92%), 75% (95%CI 73% to 77%), and 0.900 7, respectively. For detecting the colorectal adenoma, the weighted sensitivity, specificity and AUC were 79% (95%CI 76% to 83%), 75% (95%CI 73% to 77%), and 0.845 7, respectively. Conclusion With high sensitivity (92%) and moderate specificity (63%), aberrant methylation of genes in stool can be used as an optional noninvasive method for the diagnosis of colorectal tumor.
Objective To review the application progress of non-biological meshes for breast reconstruction (BR). Methods The related home and abroad researches in BR were reviewed and summarized. Results Non-biological meshes can be divided into degradable and nondegradable. The former has many types, whether its degradation rate can match with the grow rate of repair tissue will significantly affect the wound healing and tissue intergradation. TiLOOP, on behalf of the latter, has a good postoperative performance due to its nano TiO2 layer, lightness and flexibility. Non-biological meshes have been gradually used to cover and fix implant in BR. Compared with biological meshes, non-biological meshes are cheaper and have a more positive postoperative performance generally, but definite comparison can’t be concluded due to the limited data. Conclusion As non-biological meshes are applied to BR preliminarily, their effectiveness are still needed to be observed further.
ObjectiveTo study the correlation between CYP1A1 MspI gene polymorphisms and the risk of breast cancer (BC) in Chinese population.MethodsThe case-control studies on the correlation between polymorphisms of CYP1A1 MspI and BC in Chinese population were electronically retrieved in online English database (PubMed and Web of Science) and Chinese database (Chinese National Knowledge Infrastructure, Wanfang, and VIP database) from the date of their establishment to December 31, 2018. Two reviewers completed literature screening according to the inclusion and exclusion criteria, data extraction, and methodological quality assessment of the included studies independently. Reman 5.3 software was used to meta-analysis.ResultsA total 14 case-control studies involving 3 372 cases and 3 510 controls were finally included. The meta-analysis results showed that the CYP1A1 MspI gene polymorphism was associated with BC in Chinese population. Dominant genetic model [OR=1.24, 95%CI was (0.98, 1.58), P=0.08] and heterozygote model [OR=1.11, 95%CI was (0.89, 1.39), P=0.37] had no association with BC in Chinese population, while recessive genetic model [OR=1.66, 95%CI was (1.28, 2.14), P=0.000 1], homozygote model [OR=1.76, 95%CI was (1.26, 2.45), P=0.000 9], and allele contrast genetic model [OR=1.30, 95%CI was (1.08, 1.56), P=0.005] increased the risk of BC in Chinese population.ConclusionIt is demonstrated that in Chinese population, CYP1A1 MspI gene polymorphisms related to the risk of BC, recessive genetic model, homozygote model, and allele contrast genetic model might be the risk factor for BC.