Methodological Quality Assessment of Meta-analyses and Systematic Reviews of the Relationship Between Periodontal and Systemic Diseases

ObjectivesThe aims of this article are to identify all the published systematic reviews (SRs) and meta-analyses (MAs) that studied the relationship between periodontal and systemic diseases and to assess their quality using 2 scales (the Overview Quality Assessment Questionnaire [OQAQ] and A Measurement Tool to Assess Systematic Reviews [AMSTAR] checklist).MethodsFor SRs and MAs to be included, they should have investigated one of the following systemic diseases: pulmonary conditions, cardiac conditions, endocrine conditions, cancer, blood disorders, psychological conditions, anxiety, depression, mood disorders, and several other diseases. Two investigators screened MEDLINE via PubMed, Embase, Scopus, Web of Science, and the Cochrane Database of Systematic Reviews. The tools used to evaluate quality were the AMSTAR scale and OQAQ. The protocol was prospectively registered in PROSPERO (CRD42018102208).ResultsThe search strategy found 691 unique articles, 42 of which met the eligibility criteria and were included in this review. Diabetes mellitus was the most investigated disease (14 out of 42 studies), followed by obesity (11 studies) and cardiovascular diseases (5 studies). A total of 40 reviews reported on the characteristics of included studies, and, as per the AMSTAR scale, 39 reviews had an a priori design. The number of reviews that fulfilled the status of publication criterion was the lowest (7 reviews only), followed by the number used in the assessment of publication bias (11 reviews). The number of high-quality reviews was higher with the OQAQ than with the AMSTAR checklist (33 vs 25 studies), but the AMSTAR showed a higher number of medium-quality reviews than the OQAQ (14 vs 6 studies). Both showed the same number of low-quality reviews.ConclusionsHigh-quality SRs and MAs are crucial to understanding the relationship between systemic and periodontal diseases. Medical practitioners must be able to inform patients about oral health and specific periodontal health concerns.     

近几年中药附子的文献研究

附子作为有毒中药常用于多种疾病的治疗,由于广泛的临床应用和潜在的毒性受到青睐,其中,附子化学成分和药理作用等研究取得了许多实验成果。本文通过检索中国知网、万方、维普等数据库,分析梳理大量文献,对附子结构及药理进行探讨分析,旨在扩大附子使用范围和提高使用频率,为附子实验研究和应用研究提供参考和借鉴。     

安宁疗护对社区临终患者生活质量影响的Meta分析

目的通过Meta分析评价安宁疗护对社区临终患者生活质量的影响。方法计算机检索PubMed、CINAHL、ScienceDirect、MEDLINE、Cochrane Library、SAGE数据库、中国知网、维普中文科技期刊数据库、万方数据库和中国生物医学文献数据库中安宁疗护对社区临终患者的随机对照试验,由2名研究人员独立筛选文献并提取资料,对符合质量标准的随机对照试验进行Meta分析。结果共纳入7篇文献,包括1095名社区临终患者。Meta分析结果显示,安宁疗护可以改善社区临终患者的总体生活质量(SMD=0.48,95%CI0.07~0.88,P=0.02)和情绪功能(SMD=1.27,95%CI0.59~1.95,P<0.001),在改善生活质量的躯体功能、角色功能、认知功能和社会功能水平上差异无统计学意义(P>0.05)。结论安宁疗护能改善社区临终患者的总体生活质量和情绪功能,但对生活质量其他功能的改善情况还需要设计更加规范、多中心、大样本的随机对照试验进一步证实。     

基于糖脂代谢研究筋疽（糖尿病足非缺血性坏疽）湿热毒盛证

[目的]通过现代检验技术研究筋疽(糖尿病足非缺血性坏疽)湿热毒盛证的糖脂代谢指标。[方法]收集136例筋疽(糖尿病足非缺血性坏疽)患者进行不同证型间指标的比较。[结果]湿热毒盛证患者空腹血糖(FBG)、糖化血红蛋白(HbA1c)、餐后2 h血糖(2 hPBG)、晚期糖基化终末产物(AGEs)、白蛋白(ALB)、总胆固醇(TC)、高密度脂蛋白(HDL-C)与其他证型比较存在统计学差异(P<0.05)。湿热毒盛证患者C-反应蛋白(CRP)、人可溶性血管细胞黏附分子1(sVCAM-1)与其他证型组间比较存在统计学差异(P<0.01)。[结论]筋疽(糖尿病足非缺血性坏疽)湿热毒盛证形成的原因与低营养状态下糖脂代谢紊乱引起的高血糖及持续炎症反应相关。     

食管癌高、低发区食管鳞癌患者生存及其影响因素分析

目的 探讨食管癌高、低发区食管鳞癌患者的生存状况及其影响因素。方法 收集38 741例经病理学证实为食管鳞癌患者的资料，其中，高发区患者23 273例（60.1%），低发区15 468例（39.9%）。所有患者均行食管癌根治术。运用卡方检验分析不同临床病理特征患者的组间差异，Kaplan-Meier法绘制不同临床病理特征患者的生存曲线并用Log rank进行检验。多因素Cox比例风险回归模型法分析影响生存的主要因素。结果 低发区男性患者所占比例高于高发区（P<0.001），低发区诊断年龄≥50岁食管癌患者所占比例高于高发区（P<0.001）。高发区食管鳞癌患者的整体生存优于低发区患者（P<0.001）。Cox比例风险回归模型综合分析结果表明：高低发区、性别、确诊年龄、肿瘤部位、分化程度、TNM分期和肿瘤家族史均是影响食管鳞癌患者生存的独立因素。结论 高发区食管鳞癌患者整体生存优于低发区；低发区是食管鳞癌患者预后差的独立危险因素。     

心脏瓣膜置换术后患者的出院准备度现状及其影响因素分析

目的:调查心脏瓣膜置换术后患者的出院准备度现状,并分析其影响因素。方法:于2018年9月至2019年3月用一般资料、出院准备度量表、出院指导质量量表对139例瓣膜置换术后患者进行调查。结果:心脏瓣膜置换术后患者的出院准备度总分为(89.51±8.53)分,与出院指导质量呈正相关;多元回归分析显示,主要照顾者、婚姻状况、工作状态、服药种类、出院指导质量为出院准备度影响因素。结论:心脏瓣膜置换术后患者的出院准备度有待提高,患者感知的个人状态得分不理想;护士应鼓励患者配合进行早期康复,强化出院指导,采取有效措施提供康复信息,满足患者及其家属需求,提高出院准备度。     

Radiomics model based on preoperative gadoxetic acid-enhanced MRI for predicting liver failure

BACKGROUND Postoperative liver failure is the most severe complication in cirrhotic patients with hepatocellular carcinoma(HCC) after major hepatectomy. Current available clinical indexes predicting postoperative residual liver function are not sufficiently accurate.AIM To determine a radiomics model based on preoperative gadoxetic acid-enhanced magnetic resonance imaging for predicting liver failure in cirrhotic patients with HCC after major hepatectomy.METHODS For this retrospective study, a radiomics-based model was developed based on preoperative hepatobiliary phase gadoxetic acid-enhanced magnetic resonance images in 101 patients with HCC between June 2012 and June 2018. Sixty-one radiomic features were extracted from hepatobiliary phase images and selected by the least absolute shrinkage and selection operator method to construct a radiomics signature. A clinical prediction model, and radiomics-based model incorporating significant clinical indexes and radiomics signature were built using multivariable logistic regression analysis. The integrated radiomics-based model was presented as a radiomics nomogram. The performances of clinical prediction model, radiomics signature, and radiomics-based model for predicting post-operative liver failure were determined using receiver operating characteristics curve, calibration curve, and decision curve analyses.RESULTS Five radiomics features from hepatobiliary phase images were selected to construct the radiomics signature. The clinical prediction model, radiomics signature, and radiomics-based model incorporating indocyanine green clearance rate at 15 min and radiomics signature showed favorable performance for predicting postoperative liver failure(area under the curve: 0.809-0.894). The radiomics-based model achieved the highest performance for predicting liver failure(area under the curve: 0.894; 95%CI: 0.823-0.964). The integrated discrimination improvement analysis showed a significant improvement in the accuracy of liver failure prediction when radiomics signature was added to the clinical prediction model(integrated discrimination improvement = 0.117, P =0.002). The calibration curve and an insignificant Hosmer-Lemeshow test statistic(P = 0.841) demonstrated good calibration of the radiomics-based model. The decision curve analysis showed that patients would benefit more from a radiomics-based prediction model than from a clinical prediction model and radiomics signature alone.CONCLUSION A radiomics-based model of preoperative gadoxetic acid–enhanced MRI can be used to predict liver failure in cirrhotic patients with HCC after major hepatectomy.     

On the legacy of normalization

In 1998 Howard Parker, Judith Aldridge & Fiona Measham published Illegal Leisure, a ground‐breaking study of profound changes in British youth cultures in the 1990s, and the place of drugs and drug use in these upheavals. This work introduced the ‘normalization thesis’ to the social sciences, offering a novel vocabulary for re‐imagining the normative character of young people's attitudes towards and experiences of illicit drug use. Arriving at the dawn of the new century, the book offered a thoroughgoing re‐thinking of the character of youth cultures at a time of great social, cultural, economic and technological disruption. In so doing, the book deftly anticipated many of the most interesting currents of critical drug studies that followed.