Objective To assess the influence of soy foods intake in Adolescence on the female adult’s breast cancer. Methods Literatures about the influence of soy foods intake in Adolescence on the female adult’s breast cancer were retrieved in The Cochrane Library, MEDLINE, EMbase, CNKI, VIP, WanFang Data and CBM from the date of their establishment to August 2011, meanwhile, the references of included papers were also retrieved. The data were extracted according to the inclusion and exclusion criteria by two reviewers independently, the quality of the included studies was assessed according to the Cochrane Newcastle-Ottawa scale and GRAEDprofiler 3.2.2, and meta-analysis was conducted by using Stata 11.0. Results A total of 6 studies involving 6 609 patients and 79 538 controls were included. The results of meta-analyses showed that compared with the non-intake or low intake of soy foods in Adolescence, high soy foods intake in Adolescence was associated with lower risk of breast cancer (OR=0.816, 95%CI 0.670 to 0.993); In the subgroup analysis, soy foods intake in Adolescence was more effective to prevent premenopausal (OR=0.661, 95%CI 0.550 to 0.796) rather than post-menopausal (OR=0.782, 95%CI 0.486 to 1.259) breast cancer; and the effects of soy foods intake in Adolescence were not significantly different between the eastern (OR=0.793, 95%CI 0.569 to 1.105) and western (OR=0.837, 95%CI 0.743 to 0.943) women. Conclusion Soy foods intake in Adolescence may be associated with a small reduction in the risk of adults’ breast cancer, especially for the premenopausal women, though there is no difference between the eastern and western women. However, restricted by quantity and quality of the studies, this conclusion should be confirmed by more studies.
ObjectiveTo systematically review the influencing factors of breast cancer patients in treatment decision-making. MethodsWeb of Science, PubMed, EMbase, The Cochrane Library, JBI Evidence Synthesis, CINAHL, CNKI, WanFang Data, VIP and CBM databases were electronically searched to collect qualitative studies about the influencing factors of breast cancer patients in treatment decision-making from inception to October 2021. Two reviewers independently screened literature, extracted data and assessed the risk of bias of the included studies. Then, the results were combined using integrating methods. ResultsA total of 13 studies were included. Sixty-seven results were extracted, with 22 results retained after incorporation and removal of duplications. The 22 results were grouped according to their similarities to form 6 categories. These categories resulted in two synthesized findings: influencing factors of patient participation in treatment decision-making and integration results and influencing factors of patients' treatment options. ConclusionBreast cancer patient participation in treatment decisions is influenced not only by internal factors, but also by family and external situational factors. When patients choose treatment, they consider not only their personal values and preferences, but also the impact of treatment on their families and their expectations. The choice is also influenced by social and cultural aspects.
Objective To explore the correlation between interleukin-6 (IL-6) 174G/C polymorphism and ischemic stroke risks. Methods Systematic searches of electronic databases as CBM, CNKI, PubMed, MEDLINE and EMbase were performed. Meta-analysis was conducted by using RevMan 5.1.2 and Stata 11.0 software. The pooled odds ratios (ORs) with 95% confidence intervals (95%CIs) were performed. Publication bias was tested by funnel plot, Egger’s regression test and Begg’s test. Sensitivity analysis was made by repeating the fixed effects model or random effects model Meta-analysis with each of the studies individually removed. Results A total of 11 publications with 12 studies were identified. The results of meta-analyses showed no significant difference was found in the correlation between IL-6 174G/C polymorphism and ischemic stroke risks (for G/C vs. G/G: OR=0.98, 95%CI 0.78 to 1.24; for C/C vs. G/G: OR=0.75, 95%CI 0.38 to 1.50; for dominant inheritance model: OR=0.93, 95%CI 0.68 to 1.28; for recessive inheritance model: OR=0.80, 95%CI 0.45 to 1.42). In the subgroup analyses on ethnicity, no significant correlation was found. But in the subgroup analyses on source of control population, the hospital-based subgroup showed IL-6 174G/C polymorphism was the protective factor of ischemic stroke (for G/C vs. G/G: OR=0.56, 95%CI 0.40 to 0.79; for C/C vs. G/G: OR=0.17, 95%CI 0.11 to 0.27; for dominant inheritance model: OR=0.40, 95%CI 0.29 to 0.55; for recessive inheritance model: OR=0.24, 95%CI 0.16 to 0.37). Conclusion Meta-analysis bly suggests that the correlation between IL-6 174 G/C polymorphism and ischemic stroke is not significantly different.
ObjectiveTo systematically review the effects of assisted reproductive technology in single pregnancy on the incidence of gestational diabetes.MethodsPubMed, EMbase, The Cochrane Library, Web of Science, CNKI, WanFang Data, VIP and CBM databases were electronically searched to collect cohort studies on the correlation between assisted reproductive technology (ART) and gestational diabetes mellitus (GDM) incidence in single pregnancy from inception to June 2019. Two reviewers independently screened literature, extracted data and assessed risk of bias of included studies. Meta-analysis was then performed by using RevMan 5.3 software.ResultsA total of 16 cohort studies involving 2 017 573 cases of single pregnancy were included. The results of meta-analysis showed that compared with the natural pregnancy group, the incidence of GDM was higher in the ART group (RR=1.54, 95%CI 1.30 to 1.83, P<0.000 01). In East Asia and Non-East Asia, the incidence of GDM in the ART group was higher than that in the natural pregnancy group (East Asia: RR=1.55, 95%CI 1.26 to 1.92, P<0.000 01; Non-East Asia: RR=1.49, 95%CI 1.18 to 1.89. P<0.000 1).ConclusionsCurrent evidence shows that the incidence of GDM may increase in single pregnancy with ART compared with natural pregnancy. Due to limited quantity and quality of the included studies, more high quality studies are required to verify above conclusions.