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The Danish Bladder Cancer Database

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  • Erik Hansen, Department of Urology, Hospital of West Jutland-Holstebro, Holstebro; Department of Urology, Aarhus University Hospital, Aarhus; The Danish Bladder Cancer Database Group.
  • ,
  • Heidi Jeanet Larsson
  • ,
  • Mette Nørgaard
  • Peter Thind, The Danish Bladder Cancer Database Group; Department of Urology, Copenhagen University Hospital, Copenhagen, Denmark.
  • ,
  • Jørgen Bjerggaard Jensen

AIM OF DATABASE: The aim of the Danish Bladder Cancer Database (DaBlaCa-data) is to monitor the treatment of all patients diagnosed with invasive bladder cancer (BC) in Denmark.

STUDY POPULATION: All patients diagnosed with BC in Denmark from 2012 onward were included in the study. Results presented in this paper are predominantly from the 2013 population.

MAIN VARIABLES: In 2013, 970 patients were diagnosed with BC in Denmark and were included in a preliminary report from the database. A total of 458 (47%) patients were diagnosed with non-muscle-invasive BC (non-MIBC) and 512 (53%) were diagnosed with muscle-invasive BC (MIBC). A total of 300 (31%) patients underwent cystectomy. Among the 135 patients diagnosed with MIBC, who were 75 years of age or younger, 67 (50%) received neoadjuvent chemotherapy prior to cystectomy. In 2013, a total of 147 patients were treated with curative-intended radiation therapy.

DESCRIPTIVE DATA: One-year mortality was 28% (95% confidence interval [CI]: 15-21). One-year cancer-specific mortality was 25% (95% CI: 22-27%). One-year mortality after cystectomy was 14% (95% CI: 10-18). Ninety-day mortality after cystectomy was 3% (95% CI: 1-5) in 2013. One-year mortality following curative-intended radiation therapy was 32% (95% CI: 24-39) and 1-year cancer-specific mortality was 23% (95% CI: 16-31) in 2013.

CONCLUSION: This preliminary DaBlaCa-data report showed that the treatment of MIBC in Denmark overall meet high international academic standards. The database is able to identify Danish BC patients and monitor treatment and mortality. In the future, DaBlaCa-data will be a valuable data source and expansive observational studies on BC will be available.

Original languageEnglish
JournalClinical epidemiology
Volume8
Pages (from-to)439-443
Number of pages5
ISSN1179-1349
DOIs
Publication statusPublished - 2016

    Research areas

  • Review, Journal Article

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