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Objectives

Real world observational studies provide valuable data on key clinical endpoints but are often very complex, particularly in oncology. Collected data usually includes efficacy endpoints such as overall survival (OS) and progression-free survival (PFS) as well as information on treatment sequences and large volumes of adverse events (AEs) data. Despite significant software advances to describe such data, very little progress has been observed/published in terms of graphical representation. Our work aims at exploring various data visualization outputs to enable easier interpretation and dissemination of results within the scientific community.

Methods

We demonstrate the use of relevant plots that can benefit data exploration by combining multiple dimensions. Data from an observational retrospective study in metastatic colorectal cancer were used for the purpose of illustration. Levels included conjunctions …