Comparing the Value of Data Visualization Methods for Communicating Harms in Clinical Trials.

ABSTRACT: In clinical trials, harms (adverse events) are often reported by simply counting the number of people who experienced each event. Reporting only frequencies ignores other dimensions of the data that are important for stakeholders, including severity, seriousness, rate (recurrence), timing, and groups of related harms. Additionally, application of selection criteria to harms prevents most from being reported. Visualization of data could improve communication of multidimensional data. We replicated and compared the characteristics of six different approaches for visualizing harms-Dot Plot, Stacked Bar Chart, Volcano Plot, Heatmap, Treemap, and Tendril Plot. We considered binary events using individual participant data (IPD) from a randomized trial of gabapentin for neuropathic pain. We asses

SUBMITTER: Qureshi R 

PROVIDER: S-EPMC9780120 | biostudies-literature | 2022 Sep

REPOSITORIES: biostudies-literature