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