Descriptive statistics

描述性统计
  • 文章类型: Journal Article
    背景:非典型表现越来越被认为是导致内科诊断错误的重要因素。然而,由于缺乏被认为是非典型表现的广泛适用的定义和标准,因此尚未评估解决非典型表现与诊断错误之间关联的研究。
    目的:本研究的目的是描述如何在内科诊断错误的研究中定义和测量非典型表现,并利用这些新信息开发新的标准来识别高风险的非典型表现。
    方法:本研究将遵循已建立的范围审查框架。纳入标准是根据参与者制定的,概念,和上下文框架。这篇综述将考虑满足以下所有标准的研究:包括成年患者(参与者);使用任何定义探索非典型表现和诊断错误之间的关联,标准,或测量以识别非典型的表现和诊断错误(概念);并专注于内科(上下文)。关于来源的类型,这项范围审查将考虑定量,定性,和混合方法研究设计;系统评价;和意见文件纳入。病例报告,案例系列,会议摘要将被排除在外。数据将通过MEDLINE提取,WebofScience,CINAHL,Embase,科克伦图书馆,和谷歌学者搜索。语言没有限制,并将包括从数据库开始到2023年12月31日索引的论文。两名独立审稿人(YH和RK)将进行研究选择和数据提取。提取的数据将包括有关患者特征的具体细节(例如,年龄,性别,和疾病),非典型表现和诊断错误的定义和测量方法,临床设置(例如,科室和门诊或住院),证据来源类型,以及与复习问题相关的非典型演示和诊断错误之间的关联。提取的数据将以表格形式呈现,并带有描述性统计,使我们能够识别非典型表现的关键组成部分或类型,并开发新的标准来识别非典型表现,以便将来进行诊断错误的研究。制定新标准将遵循采用归纳法进行基本定性内容分析的指导。
    结果:截至2024年1月,正在通过多个数据库进行文献检索。我们将在2024年12月完成这项研究。
    结论:本范围审查旨在提供严格的证据,以开发新的标准,以识别内科诊断错误高风险的非典型表现。这样的标准可以促进全面概念模型的开发,以了解非典型表现与内科诊断错误之间的关联。
    背景:开放科学框架;www.osf.io/27d5m。
    DERR1-10.2196/56933。
    BACKGROUND: Atypical presentations have been increasingly recognized as a significant contributing factor to diagnostic errors in internal medicine. However, research to address associations between atypical presentations and diagnostic errors has not been evaluated due to the lack of widely applicable definitions and criteria for what is considered an atypical presentation.
    OBJECTIVE: The aim of the study is to describe how atypical presentations are defined and measured in studies of diagnostic errors in internal medicine and use this new information to develop new criteria to identify atypical presentations at high risk for diagnostic errors.
    METHODS: This study will follow an established framework for conducting scoping reviews. Inclusion criteria are developed according to the participants, concept, and context framework. This review will consider studies that fulfill all of the following criteria: include adult patients (participants); explore the association between atypical presentations and diagnostic errors using any definition, criteria, or measurement to identify atypical presentations and diagnostic errors (concept); and focus on internal medicine (context). Regarding the type of sources, this scoping review will consider quantitative, qualitative, and mixed methods study designs; systematic reviews; and opinion papers for inclusion. Case reports, case series, and conference abstracts will be excluded. The data will be extracted through MEDLINE, Web of Science, CINAHL, Embase, Cochrane Library, and Google Scholar searches. No limits will be applied to language, and papers indexed from database inception to December 31, 2023, will be included. Two independent reviewers (YH and RK) will conduct study selection and data extraction. The data extracted will include specific details about the patient characteristics (eg, age, sex, and disease), the definitions and measuring methods for atypical presentations and diagnostic errors, clinical settings (eg, department and outpatient or inpatient), type of evidence source, and the association between atypical presentations and diagnostic errors relevant to the review question. The extracted data will be presented in tabular format with descriptive statistics, allowing us to identify the key components or types of atypical presentations and develop new criteria to identify atypical presentations for future studies of diagnostic errors. Developing the new criteria will follow guidance for a basic qualitative content analysis with an inductive approach.
    RESULTS: As of January 2024, a literature search through multiple databases is ongoing. We will complete this study by December 2024.
    CONCLUSIONS: This scoping review aims to provide rigorous evidence to develop new criteria to identify atypical presentations at high risk for diagnostic errors in internal medicine. Such criteria could facilitate the development of a comprehensive conceptual model to understand the associations between atypical presentations and diagnostic errors in internal medicine.
    BACKGROUND: Open Science Framework; www.osf.io/27d5m.
    UNASSIGNED: DERR1-10.2196/56933.
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  • 文章类型: Journal Article
    Three-dimensional structure of a protein chain is determined by its amino acid interactions. One approach to the analysis of amino acid interactions refers to geometric distances of amino acid pairs in polypeptide chains. For a detailed analysis of the amino acid distances, the database with three types of amino acid distances in a set of chains was created. Web application Distances of Amino Acids has also been developed to enable scientists to explore interactions of amino acids with different properties based on distances stored in the database. Web application calculates and displays descriptive statistics and graphs of amino acid pair distances with selected properties, such as geometric distance threshold, corresponding SCOP class of proteins and secondary structure types. In addition to the analysis of pre-calculated distances stored in the database, the amino acid distances of a single protein with the specified PDB identifier can also be analyzed. The web application is available at http://andromeda.matf.bg.ac.rs/aadis_dynamic/.
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