Beyond standard data collection - the promise and potential of BRAIN (Brain tumour Registry Australia INnovation and translation registry)
- Author(s)
- Gately, L; Drummond, K; Rosenthal, M; Harrup, R; Dowling, A; Gogos, A; Lwin, Z; Collins, I; CAMPBELL, D; Ahern, E; Phillips, C; Gan, HK; Bennett, I; Sieber, OM; Gibbs, P;
- Details
- Publication Year 2022-06-02,Volume 22,Issue #1,Page 604
- Journal Title
- BMC Cancer
- Abstract
- BACKGROUND: Real-world data (RWD) is increasingly being embraced as an invaluable source of information to address clinical and policy-relevant questions that are unlikely to ever be answered by clinical trials. However, the largely unrealised potential of RWD is the value to be gained by supporting prospective studies and translational research. Here we describe the design and implementation of an Australian brain cancer registry, BRAIN, which is pursuing these opportunities. METHODS: BRAIN was designed by a panel of clinicians in conjunction with BIOGRID to capture comprehensive clinical data on patients diagnosed with brain tumours from diagnosis through treatment to recurrence or death. Extensive internal and external testing was undertaken, followed by implementation at multiple sites across Victoria and Tasmania. RESULTS: Between February 2021 and December 2021, a total of 350 new patients from 10 sites, including one private and two regional, were entered into BRAIN. Additionally, BRAIN supports the world's first registry trial in neuro-oncology, EX-TEM, addressing the optimal duration of post-radiation temozolomide; and BioBRAIN, a dedicated brain tumour translational program providing a pipeline for biospecimen collection matched with linked clinical data. CONCLUSIONS: Here we report on the first data collection effort in brain tumours for Australia, which we believe to be unique worldwide given the number of sites and patients involved and the extent to which the registry resource is being leveraged to support clinical and translational research. Further directions such as passive data flow and data linkages, use of artificial intelligence and inclusion of patient-entered data are being explored.
- Publisher
- BMC
- Keywords
- *Artificial Intelligence; *Brain Neoplasms/epidemiology/therapy; Data Collection; Humans; Prospective Studies; Registries; Victoria; Brain tumour; Real-world data; Registry
- Research Division(s)
- Personalised Oncology
- PubMed ID
- 35655179
- Publisher's Version
- https://doi.org/10.1186/s12885-022-09700-3
- Open Access at Publisher's Site
https://doi.org/10.1186/s12885-022-09700-3- Terms of Use/Rights Notice
- Refer to copyright notice on published article.
Creation Date: 2022-06-17 09:28:45
Last Modified: 2022-06-17 09:48:10