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. 2019 Jun 12;28(2):339–352. doi: 10.1007/s00167-019-05551-x

Table 2.

The fragility index of patient-related factors for dichotomous events

Grouping variable Author (year) Dichotomous event Arm 1 Arm 2 Sample size arm 1 Sample size arm 2 Events arm 1 Events arm 2 p value or 95% CI (unadjusted/adjusted*) Statistical test Fragility index Mean fragility index Median fragility index
Age Aga et al. (2017) Revision Age 14–19 Age 20–24 14,733 12,645 985 568 < 0.001* Cox regression 204 178.5 116.0
Revision Age 14–19 Age 25–29 14,733 9280 985 252 < 0.001* Cox regression 309
Revision Age 14–19 Age 30–60 14,733 24,120 985 403 < 0.001* Cox regression 1089
Desai et al. (2017) Revision Age 13–15 Age 36–49 1300 3350 74 36 < 0.001 Kaplan–Meier 108
Revision Age 16–20 Age 36–49 5075 3350 252 36 < 0.001 Kaplan–Meier 100
Revision Age 21–25 Age 36–49 3667 3350 117 36 < 0.001 Kaplan–Meier 45
Revision Age 26–30 Age 36–49 2513 3350 43 36 0.040 Kaplan–Meier 1
Revision Age 13–25 Age 26–49 10,042 7640 443 109 < 0.001 Kaplan–Meier 183
Fauno et al. (2014) Revision Age 13–15 Age > 20 327 11,496 22 233 3.48 (2.24–5.38)/3.23 (2.05–5.08)* Cox regression 263
Revision Age 15–20 Age > 20 2888 11,496 140 233 2.57 (2.09–3.18)/2.50 (2.01–3.11)* Cox regression 230
Gifstad et al. (2014) Revision Age 15–19 Age 20–24 10,947 8518 480 286 0.77 (0.67–0.90)/0.78 (0.67–0.90)* Cox regression 39
Revision Age 15–19 Age 25–29 10,947 6702 480 145 0.47 (0.39–0.57)/0.47 (0.39–0.57)* Cox regression 108
Revision Age 15–19 Age 30–34 10,947 5471 480 83 0.32 (0.25–0.40)/0.31 (0.25–0.40)* Cox regression 121
Revision Age 15–19 Age 35–39 10,947 5093 480 70 0.29 (0.23–0.37)/0.28 (0.22–0.37)* Cox regression 119
Revision Age 15–19 Age 40–44 10,947 4073 480 48 0.25 (0.19–0.34)/0.25 (0.19–0.34)* Cox regression 101
Revision Age 15–19 Age ≥ 45 10,947 3400 480 30 0.20 (0.14–0.28)/0.19 (0.13–0.28)* Cox regression 93
Snaebjornsson et al. (2017) Contralateral ACLR Age 13–15 Age 36–49 1300 3350 88 45 0.002 Kaplan–Meier 132
Soreide et al. (2016) Revision Age 15–19 Age > 29 1680 3166 106a 41a 0.001* Cox regression 116
Revision Age 20–29 Age > 29 2647 3166 82a 41a 0.001* Cox regression 31
Patient sex Snaebjornsson et al. (2017) Contralateral ACLR Female Male 7669 10,013 266 260 0.001 Kaplan–Meier 35
Activity at injury Ahlden et al. (2012) Revision/contralateral ACLR Female football players 15–18y Male football players 15–18y 118 92 26a 9a 0.02 X2 test 2 16.0 5.5
Gifstad et al. (2014) Revision Football Alpine activities 18,810 6083 527 110 0.65 (0.53–0.79)/0.65 (0.53–0.79)* Cox regression 32
Revision Football Other sports 18,810 12,103 527 285 0.83 (0.72–0.96)/0.85 (0.73–0.98)* Cox regression 9
Revision Football Other/unknown 18,810 1033 527 19 0.57 (0.36–0.90)/0.54 (0.34–0.86)* Cox regression 0
Revision Handball Football 5260 18,810 191 527 1.28 (1.08–1.51)/1.23 (1.04–1.45)* Cox regression 53
Revision Traffic/work Football 2113 18,810 66 527 1.07 (0.83–1.38)/1.44 (1.12–1.87)* Cox regression 0

Arm 1 has the highest risk of an event across all analyses

aNumber has been calculated from a proportion (%)

*Adjusted P value

ACLR anterior cruciate ligament reconstruction, CI confidence interval, y years