基于VOSviewer的2019新型冠状病毒病中医临床诊疗可视化分析＊

目的 通过对公开发表在网络和数据库的有关中医药治疗2019新型冠状病毒肺炎（corona virus disease 2019，COVID-19）的文献进行方、药、证的可视化分析，客观全面的对COVID-19的中医药治疗进行探讨，为现代中医临床诊疗提供参考。方法 本文选用运用文献计量学方法和VOSviewer可视化软件对纳入文献中的用药情况进行数据拆分、整理和分析。结果 本研究高质量数据的主要期刊来源是核心期刊《中医杂志》；新冠临床用方以解表清热剂、开窍补益剂、辟秽祛湿剂为主；临床用药以解表药、清热解毒药、化湿祛痰药以及补益药为主；临床治病思路以六经辨证、三焦辨证和卫气营血辨证理论为指导；临床常见证型为湿、热、寒、毒相关证型；重视新冠前期预防以及后期恢复调养；治疗过程用药考究，注重养阴与祛邪并进。结论 新冠的中医临床诊治考病全面，并注重养阴与祛邪并进，可为官方制定治疗方案提供参考。     

经自然腔道取标本手术在结直肠外科手术中的应用进展

随着腔镜技术的进一步发展以及微创理念应用于结直肠外科疾病的诊治中,结直肠相关疾病的诊治发生了翻天覆地的变化。由传统的经腹手术到腹腔镜手术、经自然腔道手术,再到经自然腔道取标本手术(NOSES),结直肠疾病的外科诊治在微创领域取得了巨大成果。NOSES技术是目前结直肠外科在微创领域前沿的手术方式之一,它通过经直肠、阴道取标本来避免了腹壁的辅助取标本切口,从而将结直肠外科手术进一步微创化。NOSES技术集传统腹腔镜手术的优势与现代微创外科的理念于一体,它在确保手术效果的基础上集中体现了微创、加速康复外科、功能外科、"无疤"等理念的特点。本文主要就国内外各中心开展NOSES技术在结直肠外科诊治开展中的相关经验、心得和体会进行综述。     

Influence of Fine Grains on the Bending Fatigue Behavior of Two Implant Titanium Alloys

By means of the ultrasonic surface impact (amplitude of 30 μm, strike number of 48,000 times/mm²), nanograins have been achieved in the surfaces of both Ti6Al4V(TC4) and Ti3Zr2Sn3Mo25Nb(TLM) titanium alloys, mainly because of the dislocation motion. Many mechanical properties are improved, such as hardness, residual stress, and roughness. The rotating–bending fatigue limits of TC4 and TLM subjected to ultrasonic impact are improved by 13.1% and 23.7%, separately. Because of the bending fatigue behavior, which is sensitive to the surface condition, cracks usually initiate from the surface defects under high stress amplitude. By means of an ultrasonic impact tip with the size of 8 mm, most of the inner cracks present at the zone with a depth range of 100~250 μm in the high life region. The inner crack core to TC4 usually appears as a deformed long and narrow α-phase, while the cracks in TLM specimens prefer to initiate at the triple grain boundary junctions. This zone crosses the grain refined layer and the deformed coarse grain layer. With the gradient change of elastic parameters, the model shows an increase of normal stress at this zone. Combined with the loss of plasticity and toughness, it is easy to understand these fatigue behaviors.     

Quantile regression and empirical likelihood for the analysis of longitudinal data with monotone missing responses due to dropout,with applications to quality of life measurements from clinical trials

The analysis of quality of life (QoL) data can be challenging due to the skewness of responses and the presence of missing data. In this paper, we propose a new weighted quantile regression method for estimating the conditional quantiles of QoL data with responses missing at random. The proposed method makes use of the correlation information within the same subject from an auxiliary mean regression model to enhance the estimation efficiency and takes into account of missing data mechanism. The asymptotic properties of the proposed estimator have been studied and simulations are also conducted to evaluate the performance of the proposed estimator. The proposed method has also been applied to the analysis of the QoL data from a clinical trial on early breast cancer, which motivated this study.     

知识点模块网格化模型在肾内科实习生带教中的应用

目的 运用知识点模块网格化构建带教模型，观察其在肾内科实习生中的应用效果。方法 根据《内科学》（第八版）肾内科教学大纲要求，结合肾内科病房常见病、多发病的临床特点，精心挑选相关知识点，以理论为支撑点，以服务于实习带教工作为靶目标，各个知识点之间有临床的关联性，最终形成网格化的诊治分 析模型。将血尿、蛋白尿、高血压、水肿、肾小球滤过率为切入点，设定肾病综合征、系统性红斑狼疮、糖尿病肾病和急、慢性肾功能衰竭为临床知识必须掌握点，从病史、症状、体征和实验室检查几方面来培养实习生的诊疗思维，并通过知识点来关联疾病的诊治，从而帮助他们在有限的肾内科实习期间尽可能掌握肾内科临床知识。结果 本研究开展一年以来，对于来肾内科轮转的51 名实习生进行了模块网格化模型训练，实习生普遍反映该模型有很好的学习效果，让他们了解了肾内科临床重点，并能和理论学习的知识点有机融合在一起，开阔了实习生的诊疗视野，也便于对其他科知识点的学习。结论 基于知识点模块网格化，构建模型在肾内科实习生中有很好的带教作用，学生接受肾内科知识点的记忆增强，并能进一步推广到内科其他内容的实习带教中。