【摘要】 目的 探讨CT对婴幼儿腹部巨大囊性病变的诊断价值及其鉴别诊断。 方法 搜集2003年-2009年间经手术病理证实的2岁以内患儿腹部巨大囊性病变62例，分析其病变部位、大小、形态、分隔、密度和强化、囊壁及与周围脏器关系等要素。 结果 62例中，先天性胆总管囊肿4例，重度肾积水36例，巨输尿管2例，囊性肾母细胞瘤4例，大网膜囊肿4例，肠系膜囊肿3例，卵巢囊肿6例，囊性畸胎瘤3例。 各种囊性病变有其一定的发病部位和特征性的CT表现。 结论 CT是婴幼儿腹部囊性病变定位、定性诊断的重要影像学方法。【Abstract】 Objective To explore the value of CT diagnosis and differential diagnosis of the giant cystic lesions in abdomen of the infants. Methods A total of 62 infants younger than 2 years old with the giant cystic lesions in abdomen confirmed by surgery and histopathology from 2003 to 2009 were collected. The location of the lesion, range, configuration, thickness of cystic wall and septa, density, contrast enhancement, and adjacent organs were observed and analyzed. Results In 62 infants, there were congenital cyst of common bile duct in 4, giant hydronephrosis in 36, primary megaureter in 2, cystic Wilms tumor in 4, greater omentum cyst in 4, mesenteric cyst in 3, ovarian cystic in 6, and cystic teratoma in 3. Each disease had its own lesions location and features of CT images. Conclusion CT is very effective on the localized and qualitative diagnosis of the giant cystic lesions in abdomen of infants.
ObjectiveTo introduce a meta-analysis of linear or nonlinear multilevel models using SAS MIXED and SAS NLMIXED.MethodsA systematic review performed to evaluate the risk of local recurrence in patients with cervical cancer treated with radical chemoradiotherapy and adjuvant surgery published by Shim et al. was selected as an illustration. An SAS software was used to implement meta-analysis based on linear or nonlinear multi-level models, and programming codes were provided.ResultsIn the absence of covariates, the OR combined effect values of PROC MIXED based on the bivariate random effects model and PROC NLMIXED of the nonlinear mixed effects model were 0.63 (95%CI 0.46 to 0.87, P=0.005 7) and 0.60 (95%CI 0.39 to 0.81, P=0.000 3), respectively. In the case of covariates, the bivariate random effects model and the nonlinear mixed effects model provided an effect value of OR=0.65 (95%CI 0.47 to 0.91, P=0.011) and 0.59 (95%CI 0.38 to 0.80, P=0.000 3). Covariate OR effect values were 2.70 (95%CI 0.16 to 45.23, P>0.05) and 1.86 (95%CI −0.07 to 3.79, P=0.06).ConclusionsThe meta-analysis results of the SAS NLMIXED nonlinear mixed-effects model are similar to those of the SAS MIXED linear mixed-effects model. PROC NLMIXED has powerful programming capability and nonlinear mixed-effects model has flexible modeling capabilities for sparse data. Therefore, PROC NLMIXED will play an increasingly important role in meta-analysis.
ObjectiveTo systematically review the association between chronotype and depressive symptoms among adolescents. MethodsCNKI, VIP, WanFang Data, PubMed, ScienceDirect and Web of Science databases were electronically searched to collect studies on the association between adolescent chronotype and depressive symptoms from inception to January 17th, 2022. Two reviewers independently screened literature, extracted data, and assessed the risk of bias of the included studies. Meta-analysis was then performed using Stata 16.0 software. ResultsA total of 12 studies were included. The results of meta-analysis showed that there was an association between chronotype and depressive symptoms (Fisher’s Z=−0.19, 95%CI −0.21 to −0.17, P<0.001). ConclusionCurrent evidence shows that evening-type chronotype may be a risk factor for depressive symptoms among adolescents. Due to the limited quality and quantity of the included studies, more high-quality studies are needed to verify the above conclusion.
ObjectivesTo systematically review the safety and efficacy of aspirin in primary prevention of cardiovascular diseases.MethodsPubMed, EMbase, Web of Science, The Cochrane Library, CBM, WanFang Data, CNKI and VIP databases were electronically searched to collect randomized controlled trials (RCTs) of aspirin for primary prevention of cardiovascular diseases from inception to November 2018. Two reviewers independently screened literature, extracted data and assessed the risk of bias of included studies, and then, meta-analysis was performed by RevMan 5.3 software.ResultsA total of 13 RCTs involving 164 225 participants were included. The results of meta-analysis showed that: aspirin reduced the risk of myocardial infarction (RR=0.85, 95%CI 0.75 to 0.97, P=0.01), ischemic stroke (RR=0.86, 95%CI 0.79 to 0.95, P=0.002) and risk of major adverse cardiovascular events (RR=0.90, 95%CI 0.86 to 0.94, P<0.000 1). However, all-cause mortality (RR=0.97, 95%CI 0.93 to 1.02, P=0.22) and cardiovascular mortality (RR=0.93, 95%CI 0.85 to 1.02, P=0.11) were not reduced. Additionally, it increased risk of hemorrhagic stroke (RR=1.29, 95%CI 1.02 to 1.64, P=0.03), major bleeding (RR=1.43, 95%CI 1.31 to 1.56, P<0.000 01) and gastrointestinal bleeding (RR=1.59, 95%CI 1.33 to 1.90, P<0.000 01).ConclusionCurrent evidence shows that aspirin can reduce the incidence of major adverse cardiovascular events and myocardial infarction during primary prevention of cardiovascular disease, while increase the risk of bleeding, especially gastrointestinal bleeding. Therefore, its potential benefits may be offset. Due to limited quality and quantity of the included studies, more high-quality studies are required to verify the above conclusion.