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[(Fig._2)TD$FIG]

1

2

14

3

13

12

10

5

8

4

6 7

9

11

£3,000

£4,000

£5,000

£6,000

£7,000

8.20

8.30

8.40

8.50

8.60

8.70

8.80

LifeƟme costs

LifeƟme health outcomes, QALYs

Strategies with non-zero probability of being in fronƟer

Strategies forming the fronƟer at expected values

Strategies never forming the fronƟer

1 - M1 115

2 - M1 215

3 - M3 215

4 - M4 225

5 - M7 225

6 - M3 224

7 - M4 224

8 - M7 224

9 - T6 223

10 - T6 222

11 - M7 223

11 - T7 223

13 - M7 222

14 - P4 2

1

14

2

13

11

9

4

7

3

5

6

8

12

10

£0

£250

£500

£750

£1,000

£1,250

£1,500

A

B

0.00

0.20

0.40

0.60

0.80

1.00

derrefer nam rep gnitset fo tsoC

ProporƟon of CS cancers detected

Strategies with non-zero probability of being in fronƟer

Strategies forming the fronƟer at expected values

Strategies never forming the fronƟer

1 - M1 215

2 - M3 215

3 - M3 225

4 - M4 225

5 - M7 225

6 - M3 224

7 - M4 224

8 - M7 224

9 - T6 223

10 - T6 222

11 - M7 223

12 - T7 223

13 - M7 222

14 - P4 2

Fig. 2

(A) Detection of CS cancers per pound spent in diagnosis. (B) Quality-adjusted life years (QALYs) per NHS spend. Each bubble represents one of

the 383 diagnostic strategies evaluated; their size is directly related to the probability that the strategy is cost effective and therefore forms the

frontier (ie, forms the red line). The red bubbles represent the 14 diagnostic strategies that form the frontier at expected values. This means that, on

average, these are the best strategies per pound spent. The black bubbles represent the strategies that do not form the frontier at expected values, but

that have some probability of being in the frontier given their distribution of costs and outcomes. The grey bubbles represent the strategies that do

not form the efficiency frontier at any simulation. Given the distribution of parameter inputs, these strategies are never efficient or cost effective.

CS = clinically significant; NHS = National Health Service.

E U R O P E A N U R O L O GY 7 3 ( 2 0 18 ) 2 3

3 0

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