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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