Cancer

Research Capabilities of Linked Datasets (RCOLD)

This project will supplement the first large-scale, comprehensive data linkage that links primary care and hospital data for cancer patients under the Victorian Comprehensive Cancer Centre’s Data-Driven Research Program. PAT012/PAT019/PAT1033

Cancer Health Services Utilisation Across the Continuum of Care

This program of work will allow for in-depth analyses utilising state-wide hospital data alongside available primary care data to map how patients engage with and move between these services. PAT073/PAT1032

PELICAN: Primary care and gEnomic data LInkage for CANcer research

The overarching aim of this research is to create a linked dataset containing patient genomic, primary care and cancer registry data to enable development and evaluation of personalised cancer risk prediction tools incorporating genetic information for use in patients presenting with symptoms of possible cancer to primary care. PAT083

Diagnostic intervals, predictors of diagnostic delays and associated survival outcomes in haematological malignancies

Investigating diagnostic intervals, predictors of diagnostic delays and associated survival outcomes in haematological malignancies. PAT1032_4

Examining diagnostic pathways for people with early-onset colorectal cancer using linked primary care, cancer registry and health administrative datasets

The incidence of colorectal cancer in people aged younger than 50, early-onset colorectal cancer (eoCRC), is increasing globally. This study will use linked primary care, cancer registry and health administrative data to compare diagnostic pathways for younger and older adults with colorectal cancer. PAT1032_10

The role of pre-diagnosis and treatment intervals on colorectal cancer outcomes

To assess the relationship between intervals of time before treatment in Victorian colorectal cancer patients on overall survival and stage at diagnosis. PAT1099

Machine learning methods for cancer risk prediction of upper gastro-intestinal cancers

This project aims to develop machine learning and advanced statistical methods for the prediction of upper gastro-intestinal (GI) cancers in Australian primary care patients. PAT1124

Examining diagnostic pathways for people with early-onset sarcoma and early-onset colorectal cancer

This project will allow for in-depth analyses utilising state-wide hospital data alongside available primary care data to map how younger cancer patients are diagnosed with sarcoma and colorectal cancers and compare this to research using similar data-sets from the Netherlands. PAT1125

Survivorship care and outcomes for women post treatment for endometrial cancer

To describe healthcare utilisation patterns and care-seeking behaviours among women with high-intermediate and high-risk endometrial cancer across three timepoints. PAT1138

Examining the role of comorbid conditions in the cancer care pathway

This project aims to increase our knowledge on how chronic conditions are managed alongside cancer in general practice and whether there are any deviations from optimal care in the cancer diagnostic and survivorship period for people with chronic illnesses. PAT1040

Routes to Diagnosis of Cancer

This project will use Patron data to understand the role of primary care in cancer diagnosis, access, treatment and follow-up/survivorship. PAT1044