2010年-2018年甲状腺结节相关SCI论文知识图谱及数据可视化分析

目的:分析2010年至2018年甲状腺结节相关SCI论文，并建模进行定性与定量分析。方法:利用文献计量学中的引文分析、共被引分析、数据可视化、聚类分析等方法，使用CiteSpace分析工具，分析来源于Web of ScienceTM核心合集数据库中有关论文的出版情况、国家、机构、作者、知识基础与研究热点。结果:到2018年10月31日截止，研究了4 618篇论文。发表论文数:美国在国家/地区中排名第一，延世大学在研究机构中排名第一，Kwak JY在所有作者中排名第一。从2010年开始，每年发表的论文数量都在稳步增长，有相当多的论文发表在如《新英格兰杂志》、《THYROID》、《JAMA》、《CELL》等高影响因子的期刊上。甲状腺结节的SCI论文参考文献聚类为6类，分别是papillary-like nuclear feature、current statu、radiofrequency ablation、ultrasound elastography、goiter area、data system。代表研究前沿的关键词是meta-analysis、recommendation、thyroid carcinoma、shear wave elastography与bethesda system。结论:本文通过对国际上甲状腺结节的研究基础、研究热点的分析，阐述了甲状腺结节的研究趋势，为我国医学工作者的研究提供参考。     

北京市养老机构老年人营养状况调查及其影响因素研究

背景　在人口老龄化日益加剧的社会背景之下，家庭养老功能不断减弱，机构养老成为今后发展的必然趋势。据报道，很多养老机构的老年人营养不合理，严重影响老年人的健康状况与生活质量。目的　通过调查北京市养老机构老年人营养现状及其影响因素，为全科医师营养教育及老年人生活质量提升提供理论依据。方法　2014年10月-2015年12月，采用方便整群抽样的方法，抽取了北京市7家养老机构，对符合纳入标准的老年人进行面对面问卷调查，问卷内容包括：一般情况、微型营养评定量表（MNA）、日常生活活动能力指数（BI）、老年人抑郁量表（GDS）。采用二元Logistic回归分析养老机构老年人营养状况的影响因素。结果　本研究共发放问卷258份，回收有效问卷258份，有效回收率为100%。被调查的258例老年人中，存在营养不良及存在营养不良发生风险的老年人共计75例（29.1%）。不同年龄、性别、婚姻状况、体质指数（BMI）、医疗费用支付方式、生活自理能力及精神状态的老年人营养状况比较，差异有统计学意义（P<0.05）。二元Logistic回归分析结果显示：年龄〔OR（95%CI）=2.349（1.070，5.156）〕、BMI〔OR（95%CI）=0.092（0.036，0.239）〕、医疗费用支付方式〔OR（95%CI）=0.208（0.083，0.522）〕、日常活动能力〔OR（95%CI）=10.214（3.099，33.669）〕、患病种数〔OR（95%CI）=2.682（1.248，5.763）〕及精神状态〔OR（95%CI）=4.822（2.005，11.600）〕是老年人营养状况的影响因素（P<0.05）。结论　北京地区养老机构的老年人面临着营养不良及营养不良发生风险的健康威胁，高龄、低BMI、抑郁、合并多种疾病、日常活动能力低下及无医保是其独立危险因素，需要对老年人加强个性化营养教育和营养治疗。     

护理教学查房在ICU教学中的临床应用效果分析

目的探讨护理教学查房在ICU教学中的临床应用效果。方法选定2018年1月-2019年1月来本院实习的100例学生,按照教学查房方法分为对照组(50例)与观察组(50例),前者采用传统教学查房方法,后者采用针对性教学查房方法。通过出科操作考试及理论考试后,比较2组实习学生的操作考核成绩、理论考核成绩指标。结果教学结束,观察组实习学生的操作考核成绩(94.11±3.54)分、理论考核成绩(85.74±5.39)分均高于对照组实习学生(P<0.05)。结论针对性教学查房方法可有效提高实习学生的操作考核成绩、理论考核成绩,改善其教学质量。     

Lower body mass index and higher height are correlated with increased varicocele risk

To evaluate the anthropometric indexes in subjects with varicocele compared to controls and the incidence of varicocele in different body mass index (BMI) groups for the purpose of exploring the association between varicocele and anthropometric indexes. A comprehensive literature search was conducted by using PubMed, MEDLINE, EMBASE databases and Cochrane Library up to February 2019. A systematic review and meta‐analysis was conducted by STATA, and Newcastle–Ottawa Scale was utilised for assessing risk of bias. Ultimately, 13 articles containing seven case–control studies and six cross‐sectional studies with 1,385,630 subjects were involved in our study. Pooled results demonstrated that varicocele patients had a lower BMI (WMD = ?0.77, 95% CI = ?1.03 to ?0.51) and a higher height than nonvaricocele participants, especially in grade 3 varicocele patients. Subgroup analyses showed that normal BMI individuals had a higher risk of varicocele than obese or overweight individuals and a lower risk than underweight individuals. In conclusion, this study indicates that varicocele patients have a lower BMI and a higher height than nonvaricocele participants. Moreover, men with excess bodyweight have a lower incidence of varicocele compared to normal weight or underweight people. That is to say, high BMI and adiposity protect against varicocele and high BMI is associated with a decreased risk of varicocele.     

Computer-generated vegan menus: The importance of food composition database choice

Precise data on food chemical composition is crucial for any quantitative nutrition research and indispensable for evaluation and planning of computer-based menus. Moreover, exact food chemical composition is of the utmost importance in composing specific diets that may be low in certain essential nutrients. Therefore, this research evaluated a weekly vegan menu using three different food composition databases (FCDB): the Croatian, the official Danish Food Composition Database and the United States Department of Agriculture (USDA) – National Nutrient Database for Standard Reference. Significant differences (p < 0.05) were determined in evaluated and optimised offers for the same menu when using different FCDBs. Furthermore, in these menus quantities of some nutrients have not reached official daily recommendations needed for prevention of non-communicable diseases. In this research, new vegan menus that can provide adequate quantity of essential nutrients, regardless of FCDB utilized, were created with linear optimisation (LO). This resulted in high quality daily menu offers. However, depending on the FCDB that was used, optimal menus differed in daily meal combinations, and the effectiveness of the optimisation in the minimisation of differences caused by differences of data in FCDBs was tested. Linear optimisation has been proved to be an effective tool in planning of specific diets, such as vegan diets. Nonetheless, the quality of computer-planned menus depends heavily on the quality of FCDB used.     

Risk-based cost-benefit analysis of alternative vaccines against COVID-19 in Brazil: Coronavac vs. Astrazeneca vs. Pfizer

We propose a probabilistic model to quantify the cost-benefit of mass Vaccination Scenarios (VSs) against COVID-19. Through this approach, we conduct a six-month simulation, from August 31st, 2021 to March 3rd, 2022, of nine VSs, i.e., the three primary vaccine brands in Brazil (CoronaVac, AstraZeneca and Pfizer), each with three different vaccination rates (2nd doses per week). Since each vaccine has different individual-level effectiveness, we measure the population-level benefit as the probability of reaching herd immunity (HI). We quantify and categorize the cost-benefit of VSs through risk graphs that show: (i) monetary cost vs. probability of reaching HI; and (ii) number of new deaths vs. probability of reaching HI. Results show that AstraZeneca has the best cost-benefit when prioritizing acquisition costs, while Pfizer is the most cost-beneficial when prioritizing the number of deaths. This work provides helpful information that can aid public health authorities in Brazil to better plan VSs. Furthermore, our approach is not restricted to Brazil, the COVID-19 pandemic, or the mentioned vaccine brands. Indeed, the method is flexible so that this study can be a valuable reference for future cost-benefit analyses in other countries and pandemics, especially in the early stages of vaccination, when data is scarce and uncertainty is high.     

A Perioperative Care Display for Understanding High Acuity Patients

Background  The data visualization literature asserts that the details of the optimal data display must be tailored to the specific task, the background of the user, and the characteristics of the data. The general organizing principle of a concept-oriented display is known to be useful for many tasks and data types. Objectives  In this project, we used general principles of data visualization and a co-design process to produce a clinical display tailored to a specific cognitive task, chosen from the anesthesia domain, but with clear generalizability to other clinical tasks. To support the work of the anesthesia-in-charge (AIC) our task was, for a given day, to depict the acuity level and complexity of each patient in the collection of those that will be operated on the following day. The AIC uses this information to optimally allocate anesthesia staff and providers across operating rooms. Methods  We used a co-design process to collaborate with participants who work in the AIC role. We conducted two in-depth interviews with AICs and engaged them in subsequent input on iterative design solutions. Results  Through a co-design process, we found (1) the need to carefully match the level of detail in the display to the level required by the clinical task, (2) the impedance caused by irrelevant information on the screen such as icons relevant only to other tasks, and (3) the desire for a specific but optional trajectory of increasingly detailed textual summaries. Conclusion  This study reports a real-world clinical informatics development project that engaged users as co-designers. Our process led to the user-preferred design of a single binary flag to identify the subset of patients needing further investigation, and then a trajectory of increasingly detailed, text-based abstractions for each patient that can be displayed when more information is needed.