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Table 4 Net Benefits of prediction Models 1 and 2 compared to the NB of treating nobody or everybody and the consequences for the number of TPs at probability thresholds ranging from 5 to 60%

From: Kinesiophobia is not required to predict chronic low back pain in workers: a decision curve analysis

Pta

NB Model 1b

NB Model 2 b

NB treat all

TP M1 vs allc

TP M2 vs allc

TP M2 vs M1d

0.05

0.513

0.513

0.511

0

0

0

0.1

0.493

0.493

0.484

1

1

0

0.2

0.444

0.441

0.419

2

2

0

0.3

0.410

0.411

0.336

7

7

0

0.4

0.398

0.402

0.225

17

18

0

0.5

0.329

0.353

0.071

26

28

2

0.6e

0.288

0.265

−0.162

45

43

−2

  1. aPt is threshold probability
  2. b NB is Net Benefit of the Model compared to assuming everybody does not develop chronic LBP
  3. c TP is the increase in number of true positive patients when the Model is compared to assuming everyone has chronic LBP
  4. d TP is the increase in number of true positive patients when Model 2 is compared to Model 1
  5. e Only comparison until 60% was feasible because the NB for treat all was negative at higher percentages