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A web-based system for individualised survival estimation in breast cancer

BMJ 2003; 326 doi: (Published 04 January 2003) Cite this as: BMJ 2003;326:29
  1. Johan Lundin, researcher,
  2. Mikael Lundin, researcher,
  3. Jorma Isola, professor,
  4. Heikki Joensuu, professor
  1. Department of Oncology, University of Helsinki, FIN-00290, Helsinki, Finland
  2. Institute of Medical Technology, University of Tampere and Tampere University Hospital, FIN-33014 Tampere, Finland
  3. Molecular/Cancer Biology Research Programme and Department of Oncology, University of Helsinki, FIN-00290, Helsinki, Finland

    Clinicians want prognostic tools that not only aid prognostic classification, but also give quantitative probabilities of survival.1 We describe a way of generating survival estimates that uses existing survival data and generates survival curves online dynamically.

    The website

    On the website a selection of prognostic factors are available for case-match survival estimation (figure).* The default selection in the drop down list for each factor is “all,” which means that no selection has been made for the specific factor. The user can enter a prognostic factor profile by selecting any of the categories in the drop down lists. The software then queries the database to retrieve data on patients with matching prognostic profiles and known outcome and calculates a survival curve according to the Kaplan-Meier product-limit …

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