RCD-Onc: Cancer Outcome Prediction

  • Research type

    Research Study

  • Full title

    RCD-Onc: Enhancing understanding and prediction of cancer outcomes with baseline characteristics from routinely collected data

  • IRAS ID

    277122

  • Contact name

    Geoffrey D. Hall

  • Contact email

    geoff.hall2@nhs.net

  • Sponsor organisation

    Leeds Teaching Hospital NHS Trust

  • Duration of Study in the UK

    4 years, 11 months, 28 days

  • Research summary

    This is a study based at the Leeds Cancer Centre at Leeds Teaching Hospitals Trust looking retrospectively at outcomes in patients with cancer. Clinical trials results often do not reflect the average patient who attends a clinic. In a typical clinic, patients are older, less fit and have more medical problems than patients who are enrolled into a clinical trial. Information provided to patients about their long term survival is based on this un-representative trial population which fails to account for baseline characteristics of patients such as pre-existing health problems and level of deprivation. In this study we aim to identify the associations between baseline characteristics and outcomes for patients with cancer. We will focus our study on likelihood of admission, likelihood of developing other health problems and survival. We will enhance this investigation by looking at cancer specific survival and additionally attempt to assign costs to difference seen. The results of the study will be used to generate insight and to create predictive models, including machine learning models, that attempt to more accurately define likely survival outcomes of cancer patients. In view of the complex methodological approaches taken the project will make use of expertise in both LTHT and the University of Leeds with the deidentified data securely stored in both organisations. The data will provide real world evidence of cancer patient outcomes which will help to shape and improve the ongoing care of this patient group. It is envisaged that this project will lead to publications within peer reviewed journals and potentially onto further research projects.

  • REC name

    N/A

  • REC reference

    N/A