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Cohort profile: COBLAnCE: a French prospective cohort to study prognostic and predictive factors in bladder cancer and to generate real-world data on treatment patterns, resource use and quality of life.

Thierry LebretJulia BonastreAldéric FraslinYann NeuzilletStéphane DroupyXavier RebillardDimitri VordosLaurent GuyArnauld VillersMarc SchneiderPatrick ColobyJean LacosteArnaud MéjeanJacques LacosteJean-Luc DescotesPascal EschwegeGuillaume LoisonHélène BlanchéOdette MarianiBijan GhalehAnthony ManginNanor SirabKarine GroussardFrançois RadvanyiYves AllorySimone Benhamou
Published in: BMJ open (2023)
COBLAnCE will be used for long-term studies of bladder cancer with focus on clinicopathological factors and molecular markers. It will lead to a much-needed improvement in the understanding of the disease. The cohort provides valuable real-world data, enabling researchers to study various research questions, assess routine medical practices and guide medical decision-making.
Keyphrases
  • healthcare
  • decision making
  • electronic health record
  • primary care
  • big data
  • machine learning
  • clinical practice
  • replacement therapy
  • deep learning