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Methodology

A validated algorithm to identify recurrence of bladder cancer: a register-based study in Denmark

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Pages 1755-1763 | Published online: 26 Nov 2018

Figures & data

Figure 1 Schematic overview of the algorithm.

Notes: aCystectomy or >15 fractions of radiotherapy. bNinety days after cystectomy and 180 days after the last fraction of radiotherapy.

Figure 1 Schematic overview of the algorithm.Notes: aCystectomy or >15 fractions of radiotherapy. bNinety days after cystectomy and 180 days after the last fraction of radiotherapy.

Figure 2 Flowchart of study population.

Abbreviations: BC, bladder cancer; DaBlaCa-data, Danish Bladder Cancer Database.
Figure 2 Flowchart of study population.

Table 1 Characteristics of included patients stratified on cancer recurrence status in the DaBlaCa-data (n=187)

Table 2 Concordance of bladder cancer recurrence identified by the gold standard and the algorithm

Table 3 Performance of the algorithm for bladder cancer recurrenceTable Footnotea

Figure S1 Discordance between gold standard and algorithm on recurrence date.

Figure S1 Discordance between gold standard and algorithm on recurrence date.

Table S1 Agreement between the date of recurrence of bladder cancer identified by the algorithm and the gold standard