How Do We Collect Data in the Perspective of New Personalize Medicine Tools in Rectal Cancer?

  • Elisa Meldolesi
  • Francesco Cellini
  • Giuditta Chiloiro
  • Andrea Damiani
  • Roberto Gatta
  • Maria Antonietta Gambacorta
  • Vincenzo Valentini


During the last two decades, we have witnessed a remarkable transformation of the internal medicine concept with the establishment of the new idea of the personalized medicine. Starting from an inflexible “one size fits all similar group” approach, where the same treatment is used for the same kind of tumor, clinical practice is moving toward a personalized medicine with an essential role of decision support systems (DSS). Besides the widely accepted and daily used clinical guidelines, results of thousands of randomized clinical trials (RCTs), systematic reviews, or meta-analyses conducted in the last 15 years, population-based observational studies are progressively emerging as a complementary form of research, often named “Rapid Learning Health Care” (RLHC) [1–3]. The long time requested to evaluate new drugs or treatment strategies in a RCT, the possibility to enroll only selective subgroups of general population, and the high heterogeneity (in terms of outcomes, methodology, patient’s characteristics, data storing systems, etc.) between different studies justify the key role of observational studies in ensuring not only if the practice has changed appropriately during the time but also if the result of clinical trials translates into tangible benefits in the general population [1].


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Copyright information

© Springer-Verlag Berlin Heidelberg 2018

Authors and Affiliations

  • Elisa Meldolesi
    • 1
  • Francesco Cellini
    • 1
  • Giuditta Chiloiro
    • 1
  • Andrea Damiani
    • 1
  • Roberto Gatta
    • 1
  • Maria Antonietta Gambacorta
    • 1
  • Vincenzo Valentini
    • 1
  1. 1.Department of Radiation OncologyUniversità Cattolica Sacro Cuore, Fondazione Policlinico Universitario A.GemelliRomeItaly

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