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肿瘤病例讨论会和临床肿瘤学的数据可视化支持:一项范围综述的方案

Data Visualization Support for Tumor Boards and Clinical Oncology: Protocol for a Scoping Review.

作者信息

Boehm Dominik, Strantz Cosima, Christoph Jan, Busch Hauke, Ganslandt Thomas, Unberath Philipp

机构信息

Medical Center for Information and Communication Technology, Universitätsklinikum Erlangen, Friedrich-Alexander-Universität Erlangen-Nürnberg, Erlangen, Germany.

Bavarian Cancer Research Center (Bayerisches Zentrum für Krebsforschung), Erlangen, Germany.

出版信息

JMIR Res Protoc. 2024 Mar 5;13:e53627. doi: 10.2196/53627.

Abstract

BACKGROUND

Complex and expanding data sets in clinical oncology applications require flexible and interactive visualization of patient data to provide the maximum amount of information to physicians and other medical practitioners. Interdisciplinary tumor conferences in particular profit from customized tools to integrate, link, and visualize relevant data from all professions involved.

OBJECTIVE

The scoping review proposed in this protocol aims to identify and present currently available data visualization tools for tumor boards and related areas. The objective of the review will be to provide not only an overview of digital tools currently used in tumor board settings, but also the data included, the respective visualization solutions, and their integration into hospital processes.

METHODS

The planned scoping review process is based on the Arksey and O'Malley scoping study framework. The following electronic databases will be searched for articles published in English: PubMed, Web of Knowledge, and SCOPUS. Eligible articles will first undergo a deduplication step, followed by the screening of titles and abstracts. Second, a full-text screening will be used to reach the final decision about article selection. At least 2 reviewers will independently screen titles, abstracts, and full-text reports. Conflicting inclusion decisions will be resolved by a third reviewer. The remaining literature will be analyzed using a data extraction template proposed in this protocol. The template includes a variety of meta information as well as specific questions aiming to answer the research question: "What are the key features of data visualization solutions used in molecular and organ tumor boards, and how are these elements integrated and used within the clinical setting?" The findings will be compiled, charted, and presented as specified in the scoping study framework. Data for included tools may be supplemented with additional manual literature searches. The entire review process will be documented in alignment with the PRISMA-ScR (Preferred Reporting Items for Systematic Reviews and Meta-Analyses extension for Scoping Reviews) flowchart.

RESULTS

The results of this scoping review will be reported per the expanded PRISMA-ScR guidelines. A preliminary search using PubMed, Web of Knowledge, and Scopus resulted in 1320 articles after deduplication that will be included in the further review process. We expect the results to be published during the second quarter of 2024.

CONCLUSIONS

Visualization is a key process in leveraging a data set's potentially available information and enabling its use in an interdisciplinary setting. The scoping review described in this protocol aims to present the status quo of visualization solutions for tumor board and clinical oncology applications and their integration into hospital processes.

INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID): DERR1-10.2196/53627.

摘要

背景

临床肿瘤学应用中复杂且不断扩展的数据集需要对患者数据进行灵活且交互式的可视化处理,以便为医生和其他医疗从业者提供最大量的信息。特别是跨学科肿瘤会议受益于定制工具,能够整合、链接和可视化来自所有相关专业的相关数据。

目的

本方案中提出的范围综述旨在识别并展示目前可用于肿瘤讨论组及相关领域的数据可视化工具。该综述的目的不仅是概述肿瘤讨论组环境中当前使用的数字工具,还包括所包含的数据、各自的可视化解决方案以及它们如何融入医院流程。

方法

计划的范围综述过程基于阿克西和奥马利的范围研究框架。将在以下英文电子数据库中搜索发表的文章:PubMed、Web of Knowledge和SCOPUS。符合条件的文章首先将进行重复数据删除步骤,随后筛选标题和摘要。其次,将使用全文筛选来最终决定文章的选择。至少两名评审员将独立筛选标题、摘要和全文报告。存在冲突的纳入决定将由第三名评审员解决。其余文献将使用本方案中提出的数据提取模板进行分析。该模板包括各种元信息以及旨在回答研究问题的特定问题:“分子和器官肿瘤讨论组中使用的数据可视化解决方案的关键特征是什么,以及这些元素在临床环境中是如何整合和使用的?”研究结果将按照范围研究框架中的规定进行整理、制表和呈现。纳入工具的数据可能会通过额外的手动文献检索进行补充。整个综述过程将按照PRISMA-ScR(系统评价和Meta分析扩展版的范围综述的首选报告项目)流程图进行记录。

结果

本范围综述的结果将按照扩展的PRISMA-ScR指南进行报告。使用PubMed、Web of Knowledge和Scopus进行的初步搜索在重复数据删除后产生了1320篇文章,这些文章将纳入进一步的综述过程。我们预计结果将于2024年第二季度发表。

结论

可视化是利用数据集潜在可用信息并使其在跨学科环境中得以应用的关键过程。本方案中描述的范围综述旨在呈现肿瘤讨论组和临床肿瘤学应用的可视化解决方案的现状以及它们如何融入医院流程。

国际注册报告标识符(IRRID):DERR1-10.2196/53627

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