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Cohort profile: Bladder Cancer Data Base Sweden (BladderBaSe) 2.0.

Christel HäggströmOskar HagbergTruls GårdmarkFiras AljaberyViveka StröckAbolfazl HosseiniAmir SherifPer-Uno MalmstromKarin SöderkvistAnders UllénTomas JerlströmStaffan JahnsonFredrik LiedbergLars Holmberg
Published in: BMJ open (2022)
The BladderBaSe initiators are currently investigating gender-dependent detection delays due to urinary tract infections; survival after non-muscle invasive bladder cancer with respect to the number of transurethral resections; short-term outcomes comparing open and robot-assisted radical cystectomy; studies on risk for intravesical recurrence after different diagnostic measures in UTUC, and suicide risk after bladder cancer diagnosis. The BladderBaSe project group is open for collaborations with national and international colleagues.
Keyphrases
  • muscle invasive bladder cancer
  • robot assisted
  • minimally invasive
  • urinary tract infection
  • quality improvement
  • mental health
  • electronic health record
  • label free
  • urinary tract