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Accepted for/Published in: JMIR Research Protocols

Date Submitted: Oct 13, 2023
Open Peer Review Period: Oct 12, 2023 - Dec 7, 2023
Date Accepted: Dec 19, 2023
(closed for review but you can still tweet)

The final, peer-reviewed published version of this preprint can be found here:

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

Boehm D, Strantz C, Christoph J, Busch H, Ganslandt T, Unberath P

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

JMIR Res Protoc 2024;13:e53627

DOI: 10.2196/53627

PMID: 38441925

PMCID: 10951826

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

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

ABSTRACT

Background:

Complex and expanding datasets 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 on 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. 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?”. 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 search. 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 in accordance with the expanded PRISMA-ScR guidelines. A preliminary search using PubMed, Web-Of-Knowledge and Scopus resulted in 1,320 articles after deduplication that will be included in the further review process.

Conclusions:

Visualization is a key process in leveraging a data set’s potentially available information and enable 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.


 Citation

Please cite as:

Boehm D, Strantz C, Christoph J, Busch H, Ganslandt T, Unberath P

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

JMIR Res Protoc 2024;13:e53627

DOI: 10.2196/53627

PMID: 38441925

PMCID: 10951826

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