Author | Year | Country | Study type | Study period | Follow-up (months) | Diagnostic criteria | Sample size | Joint involved | Surgical strategies | NOS scores | ||||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
CN PJI/CP PJI | Hip | Knee | DAIR | One-stage | Two-stage | Others | ||||||||
van Eck [7] | 2022 | Netherlands | Retro | 2014–2019 | Minimum 12 | ICM | 60/299 | 228 | 131 | 359 | 0 | 0 | 0 | 8 |
Veerman [14] | 2022 | Netherlands | Retro | 2012–2019 | Minimum 24 | IDSA | 32/56 | 53 | 35 | 88 | 0 | 0 | 0 | 7 |
Xu [9] | 2022 | China | Retro | 2012–2017 | Mean 29.2 | MSIS | 22/48 | n/a | n/a | 21 | 13 | 36 | 0 | 8 |
Watanabe [16] | 2021 | Japan | Retro | 2013–2019 | Mean 51.5 | ICM | 27/82 | 79 | 24 | 21 | 10 | 66 | 12 | 9 |
Tirumala [17] | 2021 | USA | Retro | n/a | Minimum 36 | ICM | 46/103 | 59 | 90 | 149 | 0 | 0 | 0 | 7 |
Mulpur [10] | 2021 | India | Retro | 2012–2018 | Minimum 12 | MSIS | 27/53 | 0 | 80 | 80 | 0 | 0 | 0 | 8 |
Razii [15] | 2021 | UK | Retro | 2006–2016 | Mean 84 | MSIS | 16/68 | 84 | 0 | 0 | 84 | 0 | 0 | 6 |
Theil [18] | 2020 | Germany | Retro | 2012–2016 | Median 42 | MSIS | 153/51 | 93 | 111 | 0 | 0 | 204 | 0 | 8 |
Bongers [19] | 2020 | Netherlands | Retro | 2003–2013 | Minimum 24 | MSIS | 65/48 | 0 | 113 | 0 | 0 | 113 | 0 | 7 |
Ji [20] | 2020 | China | Retro | 2009–2016 | Mean 53.2 | MSIS | 51/192 | 104 | 139 | 0 | 243 | 0 | 0 | 8 |
Ji [21] | 2019 | China | Retro | 2010–2016 | Mean 58 | MSIS | 23/88 | 111 | 0 | 0 | 111 | 0 | 0 | 7 |
Xu [22] | 2019 | China | Retro | 2012–2016 | Minimum 12 | MSIS | 94/23 | 117 | 0 | 0 | 0 | 117 | 0 | 8 |
Wang [23] | 2018 | China | Retro | 2003–2016 | Median 68.5 | MSIS | 19/39 | 58 | 0 | 0 | 0 | 58 | 0 | 9 |
Kang [24] | 2018 | Korea | Retro | 1996–2015 | Mean 88.8 | MSIS | 15/70 | 85 | 0 | 0 | 0 | 85 | 0 | 8 |
Ibrahim [25] | 2018 | UK | Retro | 2007–2012 | Minimum 60 | MSIS | 50/50 | 100 | 0 | 0 | 0 | 100 | 0 | 9 |
Santoso [26] | 2018 | Indonesia | Retro | 2010–2015 | Mean 30.5 | MSIS | 27/57 | 84 | 0 | 0 | 0 | 84 | 0 | 9 |
Akgun [27] | 2017 | Germany | Retro | 2013–2015 | Mean 32.9 | SSID | 136/27 | 84 | 79 | 0 | 0 | 163 | 0 | 8 |
Li [28] | 2017 | China | Retro | 2003–2014 | Mean 59.5 | MSIS | 18/109 | 0 | 127 | 0 | 22 | 105 | 0 | 9 |
Bereza [39] | 2016 | Poland | Pro | n/a | Mean 32 | MSIS | 6/7 | 4 | 9 | 0 | 0 | 13 | 0 | 6 |
Tan [29] | 2016 | USA | Retro | 1999–2013 | Minimum 12 | MSIS | 234/33 | 81 | 186 | 0 | 0 | 267 | 0 | 9 |
Cha [30] | 2015 | Korea | Retro | 1998–2011 | Mean 30 | MSIS | 22/54 | 0 | 76 | 0 | 0 | 76 | 0 | 7 |
Triantafyllo-poulos [33] | 2015 | USA | Retro | 2000–2013 | Mean 79.7 | MSIS | 9/69 | 0 | 78 | 78 | 0 | 0 | 0 | 8 |
Kim [31] | 2015 | Korea | Retro | 1991–2008 | Mean 115.8 | MSIS | 51/140 | 0 | 191 | 109 | 0 | 82 | 0 | 9 |
Kim [32] | 2015 | Korea | Retro | 2001–2008 | Mean 120 | MSIS | 102/140 | 0 | 242 | 137 | 0 | 105 | 0 | 9 |
Nelson [34] | 2014 | USA | Retro | 2010–2011 | Mean 29.9 | MSIS | 18/18 | 7 | 29 | 0 | 0 | 36 | 0 | 6 |
Choi [35] | 2013 | USA | Retro | 2000–2009 | Mean 58 | MSIS | 40/135 | 78 | 97 | 54 | 0 | 110 | 11 | 9 |
Huang [36] | 2012 | USA | Retro | 2000–2007 | Mean 47 | MSIS | 48/295 | n/a | n/a | 97 | 5 | 238 | 3 | 9 |
Sorlà [38] | 2012 | Spain | Pro | 2007–2008 | Mean 12 | n/a | 44/11 | 17 | 37 | 0 | 0 | 55 | 0 | 6 |
Mortazavi [8] | 2011 | USA | Retro | 1997–2007 | Mean 45.6 | n/a | 40/77 | 0 | 117 | 0 | 0 | 117 | 0 | 6 |
Malekzadeh [37] | 2010 | Austria | Retro | 1985–2000 | Median 56 | n/a | 135/135 | 136 | 134 | 33 | 18 | 123 | 96 | 7 |