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Table 2 Covariables for logistic (meta-)regression.

From: Multidetector computed tomography angiography for assessment of in-stent restenosis: meta-analysis of diagnostic performance

Author

Ndet

brand

Kernel

CT/PCI

NAP

StrTh

EXC

location

size

Age

Kv

Schuijf 7

1

4

0

14

0.23

1

0

2

-

62

120

Cademartiri 8

1

1

0

6

0.02

0

1

2

-

60

120

Gilard 9

1

3

0

6

0.07

0

1

1

3.9

63

120

Gaspar 10

2

3

0

0

0.05

2

0

2

3.3

63

120

Chabbert 11

1

1

4

6

0.26

0

0

2

3.25

67.4

120

Gilard 12

1

3

0

12

0.46

0

1

2

3.13

68

120

Ohnuki 13

1

1

2

0

0.00

0

0

2

3.32

65

120

Watanabe 14

1

1

1

6

0.17

0

1

2

3.3

64

120

Van Mieghem 15

3

1

2

8

0.09

0

1

1

3

61

120

Rist 16

4

1

4

1

0.02

2

1

2

3.16

59

120

Rixe 17

4

1

2

13

0.42

2

0

2

2.97

58

120

Kefer 18

1

3

2

12

0.07

0

1

2

2.8

64

140

Ehara 19

4

1

2

3

0.00

1

0

2

3.27

67

120

Oncel 20

4

1

2

20.1

0.00

0

0

2

3.17

58.2

120

  1. Ndet: number of detectors. 1 = 16, 2 = 40, 3 = 16/64, 4 = 64
  2. Brand: 1 = Siemens, 2 = GE, 3 = Philips, 4 = Toshiba
  3. Kernel: 1 = B20-30f, 2 = B46f, 3 = B46, f + filter, 4 = combination
  4. CT/PCI: average number of months between scan and stent placement
  5. NAP: Non-assessable proportion of stents
  6. StrTh: Strut Thickness. 0 = no data, 1 = Str Th < 100 μm, 2 = Str Th > 100 μm
  7. EXC: non-assessable stents were excluded before analysis: 1, not excluded: 0
  8. Loc: Stent location in the coronary. Left main or not specified = 1, other = 2
  9. Size: average stent diameter in mm
  10. Kv: kilovoltage