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Related Concept Videos

Cancer Survival Analysis01:21

Cancer Survival Analysis

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Cancer survival analysis focuses on quantifying and interpreting the time from a key starting point, such as diagnosis or the initiation of treatment, to a specific endpoint, such as remission or death. This analysis provides critical insights into treatment effectiveness and factors that influence patient outcomes, helping to shape clinical decisions and guide prognostic evaluations. A cornerstone of oncology research, survival analysis tackles the challenges of skewed, non-normally...
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Updated: Jun 28, 2025

Performing Data Mining And Integrative Analysis Of Biomarker in Breast Cancer Using Multiple Publicly Accessible Databases
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An Overview of Real-World Data Infrastructure for Cancer Research.

G Price1, N Peek2, I Eleftheriou3

  • 1Division of Cancer Sciences, University of Manchester, Manchester, UK; The Christie NHS Foundation Trust, Manchester, UK.

Clinical Oncology (Royal College of Radiologists (Great Britain))
|April 17, 2024
PubMed
Summary
This summary is machine-generated.

Accessing real-world data (RWD) for cancer research is becoming more feasible. This paper explores RWD resources and access methods, highlighting case studies to fill evidence gaps in oncology.

Keywords:
Federated learningReal-World Datanational registrysecure data environmenttrusted research environment

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Area of Science:

  • Oncology
  • Health Informatics
  • Data Science

Background:

  • Growing interest in Real World Data (RWD) for evidence generation where clinical trial data is lacking.
  • Data accessibility is a significant barrier to RWD research.
  • RWD offers opportunities to supplement traditional research methods in oncology.

Purpose of the Study:

  • To discuss current Real World Data resources available for cancer research.
  • To outline methods for accessing these RWD sources.
  • To encourage further development in RWD access for oncology.

Main Methods:

  • Review of progress in facilitating RWD access across various scales (local, regional, national, international).
  • Utilized case studies, primarily from the UK, to illustrate RWD access.
  • Discussion of infrastructure and governance requirements for RWD utilization.

Main Results:

  • Significant progress has been made in RWD access over recent years.
  • RWD can be accessed at multiple scales, from local to international.
  • Case studies demonstrate practical application of RWD for research and healthcare improvement.

Conclusions:

  • Real-world data research is a current reality across diverse scales, despite challenges.
  • Effective utilization of RWD requires clear research questions and appropriate scale definition.
  • Addressing evidence gaps in oncology is facilitated by accessible RWD resources.