| Literature DB >> 34389876 |
Laura Theresa Fischer1, Markus Heinecke2, Eric Röhner2, Peter Schlattmann3, Georg Matziolis2.
Abstract
PURPOSE: The fixation of revision total knee arthroplasties (rTKA) tends to be difficult, leading to a reduction in implant survival. One option for achieving a more stable anchorage is to use metaphyseal cones and sleeves. The objective of the present paper is to provide a current comparative meta-analysis on survival and clinical results of cones vs. sleeves, with a differentiation between the short- and long-term outcome.Entities:
Keywords: Aseptic loosening; Bone defects; Cones; Revision total knee arthroplasty; Sleeves; Total knee replacement
Mesh:
Year: 2021 PMID: 34389876 PMCID: PMC9309140 DOI: 10.1007/s00167-021-06670-0
Source DB: PubMed Journal: Knee Surg Sports Traumatol Arthrosc ISSN: 0942-2056 Impact factor: 4.114
Fig. 1PRISMA flow diagram of article selection. PRISMA—Preferred Reporting Items for Systematic Reviews and Meta-Analysis
Summary of all studies main results
| Author | Year | FU (months) | FU (short term/ long term) | Therapy | patients | knees | Age | BMI | Male | Female | Hinged | CC | Unconstrained | Septic index indication | Aseptic index indication | Revision total | Aseptic loosening | PJI (DAIR and implant exchange) |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Abdelaziz | 2019 | 126.5 | Long | Cone | 25 | 25 | 65.0 | 13 | 12 | 25 | 0 | 0 | 0 | 25 | 13 | 10 | 3 | |
| Abdelaziz | 2019 | 49.9 | Short | Cone | 72 | 72 | 70.0 | 30.0 | 41 | 31 | 72 | 0 | 0 | 72 | 0 | 15 | 7 | 8 |
| Bohl | 2017 | 40.5 | Short | Cone | 49 | 49 | 69.0 | 35.7 | 13 | 36 | 5 | 32 | 12 | 12 | 37 | 1 | 1 | 3 |
| Burastero | 2018 | 43.5 | Short | Cone | 60 | 60 | 67.9 | 27.7 | 26 | 34 | 18 | 42 | 0 | 60 | 0 | 5 | 3 | 2 |
| Chalmers | 2021 | 24.0 | Short | Cone | 163 | 163 | 67.0 | 33.0 | 75 | 88 | 52 | 106 | 5 | 46 | 117 | 6 | 2 | 16 |
| De Martino | 2015 | 72.0 | Long | Cone | 18 | 18 | 73.0 | 29.0 | 6 | 12 | 12 | 6 | 0 | 13 | 5 | 2 | 0 | 2 |
| Derome | 2014 | 33.0 | Short | Cone | 29 | 29 | 70.0 | 19 | 10 | 0 | 18 | 11 | 7 | 22 | 1 | 0 | 2 | |
| Erivan | 2020 | 24.0 | Short | Cone | 61 | 61 | 60.4 | 30 | 31 | 6 | 12 | 43 | 2 | 59 | 5 | 2 | 8 | |
| Girerd | 2016 | 34.0 | Short | Cone | 51 | 52 | 68.0 | 28.0 | 25 | 26 | 38 | 14 | 0 | 19 | 33 | 4 | 0 | 4 |
| Hernandez | 2021 | 91.2 | Long | Cone | 59 | 62 | 70.0 | 34.1 | 21 | 38 | 5 | 41 | 16 | 23 | 39 | 18 | 9 | 11 |
| Howard | 2011 | 33.0 | Short | Cone | 24 | 24 | 64.0 | 11 | 13 | 10 | 11 | 3 | 7 | 17 | 0 | 0 | 0 | |
| Jensen | 2014 | 47.0 | Short | Cone | 36 | 36 | 69.0 | 25 | 11 | 16 | 14 | 6 | 15 | 21 | 4 | 2 | 2 | |
| Kamath | 2015 | 70.0 | Long | Cone | 63 | 66 | 67.0 | 33.0 | 27 | 36 | 25 | 33 | 8 | 26 | 40 | 3 | 1 | 7 |
| Lachiewicz | 2013 | 39.0 | Short | Cone | 27 | 27 | 64.6 | 35.9 | 13 | 14 | 3 | 22 | 2 | 13 | 14 | 2 | 1 | 1 |
| Ohlmeier | 2020 | 22.0 | Short | Cone | 52 | 52 | 68.6 | 30.5 | 29 | 23 | 52 | 0 | 0 | 17 | 35 | 2 | 1 | 2 |
| Panda | 2019 | 83.0 | Long | Cone | 59 | 59 | 69.7 | 28.7 | 18 | 41 | 0 | 26 | 33 | 2 | 0 | 2 | ||
| Potter | 2016 | 60.0 | Long | Cone | 157 | 157 | 64.0 | 32.7 | 82 | 75 | 75 | 82 | 27 | 10 | 21 | |||
| Rao | 2013 | 36.0 | Short | Cone | 26 | 26 | 72.0 | 15 | 11 | 26 | 0 | 0 | 7 | 19 | 1 | 0 | 2 | |
| Schmitz | 2013 | 37.0 | Short | Cone | 38 | 38 | 72.0 | 38 | 0 | 0 | 0 | 38 | 2 | 2 | 0 | |||
| Villanueva-Martinez | 2013 | 36.0 | Short | Cone | 21 | 21 | 73.3 | 7 | 14 | 10 | 11 | 0 | 5 | 16 | 1 | 0 | 2 | |
| Agarwal | 2018 | 95.7 | Long | Sleeve | 103 | 104 | 74.7 | 54 | 49 | 0 | 55 | 49 | 31 | 73 | 21 | 7 | 5 | |
| Agarwal | 2013 | 43.0 | Short | Sleeve | 103 | 104 | 69.0 | 54 | 49 | 0 | 55 | 49 | 31 | 73 | 2 | 2 | 2 | |
| Alexander | 2013 | 33.0 | Short | Sleeve | 28 | 30 | 71.0 | 14 | 14 | 0 | 30 | 0 | 8 | 22 | 0 | 0 | 1 | |
| Algarni | 2020 | 49.0 | Short | Sleeve | 27 | 27 | 65.4 | 37.6 | 5 | 22 | 3 | 24 | 0 | 3 | 24 | 1 | 0 | 0 |
| Barnett | 2014 | 38.0 | Short | Sleeve | 34 | 34 | 60.0 | 30.7 | 3 | 24 | 7 | 9 | 25 | 4 | 2 | 1 | ||
| Bloch | 2019 | 91.0 | Long | Sleeve | 277 | 319 | 70.0 | 133 | 144 | 59 | 260 | 0 | 70 | 249 | 4 | 0 | 4 | |
| Bugler | 2015 | 39.0 | Short | Sleeve | 34 | 35 | 72.0 | 30.2 | 20 | 14 | 0 | 35 | 0 | 0 | 35 | 0 | 0 | 0 |
| Chalmers | 2016 | 38.0 | Short | Sleeve | 227 | 227 | 66.0 | 34.0 | 10 | 166 | 51 | 84 | 143 | 8 | 3 | 12 | ||
| Dalury | 2016 | 57.6 | Short | Sleeve | 40 | 40 | 73.0 | 32.0 | 19 | 21 | 6 | 34 | 0 | 6 | 34 | 1 | 1 | 0 |
| Fedorka | 2016 | 58.8 | Short | Sleeve | 50 | 50 | 65.6 | 28 | 22 | 0 | 46 | 0 | 25 | 25 | 5 | 3 | 2 | |
| Gill | 2020 | 65.0 | Long | Sleeve | 31 | 31 | 8 | 18 | 5 | 0 | 0 | 1 | ||||||
| Goettsche | 2016 | 24.0 | Short | Sleeve | 67 | 67 | 0 | 67 | 0 | 16 | 51 | 4 | 1 | 1 | ||||
| Graichen | 2015 | 43.2 | Short | Sleeve | 121 | 121 | 17 | 27 | 77 | 0 | 121 | 12 | 4 | 4 | ||||
| Gurel | 2021 | 82.4 | Long | Sleeve | 30 | 30 | 69.9 | 30.2 | 10 | 20 | 0 | 30 | 0 | 8 | 22 | 0 | 0 | 0 |
| Huang | 2014 | 29.0 | Short | Sleeve | 79 | 83 | 63.5 | 33.0 | 29 | 50 | 10 | 73 | 0 | 20 | 63 | 6 | 3 | 6 |
| Klim | 2018 | 63.6 | Long | Sleeve | 56 | 56 | 73.0 | 34.0 | 22 | 34 | 56 | 0 | 9 | 0 | 9 | |||
| Klim | 2020 | 75.6 | Long | Sleeve | 93 | 93 | 68.0 | 30.0 | 39 | 54 | 0 | 93 | 0 | 52 | 41 | 17 | 0 | 15 |
| Lai | 2020 | 24.0 | Short | Sleeve | 17 | 17 | 68.0 | 30.4 | 5 | 12 | 0 | 17 | 0 | 8 | 9 | 0 | 0 | 1 |
| Martin-Hernandez | 2016 | 71.5 | Long | Sleeve | 134 | 134 | 75.0 | 29.8 | 52 | 82 | 0 | 134 | 0 | 12 | 122 | 2 | 0 | 2 |
| Panesar | 2021 | 91.0 | Long | Sleeve | 99 | 99 | 69.7 | 46 | 53 | 99 | 0 | 0 | 32 | 67 | 18 | 2 | 11 | |
| Stefani | 2017 | 37.0 | Short | Sleeve | 47 | 47 | 71.0 | 0 | 47 | 0 | 17 | 30 | 1 | 0 | 1 | |||
| Watters | 2017 | 63.0 | Long | Sleeve | 116 | 116 | 63.7 | 30.7 | 58 | 58 | 3 | 98 | 13 | 28 | 88 | 3 | 1 | 6 |
| Wirries | 2019 | 60.0 | Long | Sleeve | 47 | 47 | 67.2 | 30.6 | 8 | 39 | 23 | 24 | 0 | 19 | 28 | 6 | 3 | 3 |
Patient’s demographics were comparable and without significant differences between the therapy groups
| Follow-up | Therapy | Age | BMI | Male (%) | Female (%) |
|---|---|---|---|---|---|
| short | cone | 67.8 | 31.5 | 49.0 | 51.0 |
| short | sleeve | 67.1 | 33.2 | 46.0 | 54.0 |
| long | cone | 66.8 | 32.2 | 43.8 | 56.2 |
| long | sleeve | 70.2 | 30.7 | 44.2 | 53.4 |
The results illustrating the indication for index revision using cone or sleeve, the degree of implant constraint, the rates of implant exchange for any reason, aseptic loosening, and the rates for operative intervention resulting from PJI
| short term follow-up (< 5 years) | Cones | Sleeves | |
|---|---|---|---|
| Aseptic index RTKA | 61.2 (27.8–86.5) | 80.8 (66.4–90.0) | 0.23 |
| Septic index RTKA | 38.9 (13.5–72.2) | 19.2 (10.0–33.6) | 0.23 |
| Hinged implant | 68.2 (20.8–94.6) | 1.8 (0.4–7.9) | < 0.001 |
| CC implant | 20.1 (5.5–52.1) | 93.9 (77.0–98.6) | < 0.001 |
| Unconstraint implant | 2.0 (0.3–12.2) | 0.3 (0.01–9.7) | 0.37 |
| Implant exchange for any reason | 6.1 (3.9–9.3) | 4.5 (2.8–7.1) | 0.35 |
| Implant exchange for aseptic loosening | 4.3 (2.8–6.3) | 2.8 (1.8–4.2) | 0.16 |
| PJI (with or without implant exchange) | 7.0 (4.8–10.0) | 3.4 (2.1–5.4) | 0.02 |
Numbers are given in percent with 95% confidence interval in brackets and p value for subgroup differences
Fig. 2Forest plot illustrating the rates for implant exchange for any reason for cone fixation vs. sleeve fixation with short-term (A) and long-term follow-up (B)
Fig. 3Forest plot illustrating revision rates for aseptic loosening for cone fixation vs. sleeve fixation with short-term (A) and long-term follow-up (B)
Fig. 4Forest plot illustrating revision for PJI with or without implant exchange for cone fixation vs. sleeve fixation with short-term (A) and long-term follow-up (B)
Fig. 5Forest plot illustrating clinical outcome with KSS values in sleeve vs. cone fixation with short-term (A) and long-term follow-up (B)
Fig. 6Forest plot illustrating clinical outcome with KSFS values in sleeve vs. cone fixation with short-term (A) and long-term follow-up (B)
Publication bias of the included studies
| Author | Year | Therapy | FU (months) | Assembly of comparable groups | Maintenance of comparable groups | High loss to FU (>20%) | Measurements: equal, reliable, valid | Clear definition of interventions | All important outcomes considered | Adjustment for potential confounders | Overall assessed quality |
|---|---|---|---|---|---|---|---|---|---|---|---|
| Abdelaziz | 2019 | Cone | 126.5 | No | No | Yes | Yes | Yes | No scores | No | Fair |
| Abdelaziz | 2019 | Cone | 49.9 | No | No | Yes | Yes | Yes | No scores | No | Fair |
| Bohl | 2017 | Cone | 40.5 | No | No | No | Yes | Yes | Yes | No | Fair |
| Burastero | 2018 | Cone | 43.5 | No | No | No | Yes | Yes | Yes | No | Fair |
| Chalmers | 2021 | Cone | 24.0 | No | No | No | Yes | Yes | No scores | No | Fair |
| De Martino | 2015 | Cone | 72.0 | No | No | No | Yes | Yes | Yes | No | Fair |
| Derome | 2014 | Cone | 33.0 | No | No | No | Yes | Yes | Yes | No | Fair |
| Erivan | 2020 | Cone | 24.0 | No | No | No | Yes | Yes | No scores | No | Fair |
| Girerd | 2016 | Cone | 34.0 | No | No | No | Yes | Yes | Yes | No | Fair |
| Hernandez | 2021 | Cone | 91.2 | No | No | No | Yes | Yes | No scores | No | Fair |
| Howard | 2011 | Cone | 33.0 | No | No | No | Yes | Yes | Yes | No | Fair |
| Jensen | 2014 | Cone | 47.0 | No | No | No | Yes | Yes | Yes | No | Fair |
| Kamath | 2015 | Cone | 70.0 | No | No | No | Yes | Yes | Yes | No | Fair |
| Lachiewicz | 2013 | Cone | 39.0 | No | No | No | Yes | Yes | Yes | No | Fair |
| Ohlmeier | 2020 | Cone | 22.0 | No | No | No | Yes | Yes | No scores | No | Fair |
| Panda | 2019 | Cone | 83.0 | No | No | No | Yes | Yes | Yes | No | Fair |
| Potter | 2016 | Cone | 60.0 | No | No | No | Yes | Yes | Yes | No | Fair |
| Rao | 2013 | Cone | 36.0 | No | No | No | Yes | Yes | Yes | No | Fair |
| Schmitz | 2013 | Cone | 37.0 | No | No | No | Yes | Yes | Yes | No | Fair |
| Villanueva-Martinez | 2013 | Cone | 36.0 | No | No | No | Yes | Yes | No scores | No | Fair |
| Agarwal | 2018 | Sleeve | 95.7 | No | No | No | Yes | Yes | No scores | No | Fair |
| Agarwal | 2013 | Sleeve | 43.0 | No | No | No | Yes | Yes | No scores | No | Fair |
| Alexander | 2013 | Sleeve | 33.0 | No | No | Yes | Yes | Yes | Yes | No | Fair |
| Algarni | 2020 | Sleeve | 49.0 | No | No | No | Yes | Yes | Yes | No | Fair |
| Barnett | 2014 | Sleeve | 38.0 | No | No | No | Yes | Yes | Yes | No | Fair |
| Bloch | 2019 | Sleeve | 91.0 | No | No | No | Yes | Yes | No scores | No | Fair |
| Bugler | 2015 | Sleeve | 39.0 | No | No | Yes | Yes | Yes | No scores | No | Fair |
| Chalmers | 2016 | Sleeve | 38.0 | No | No | No | Yes | Yes | No scores | No | Fair |
| Dalury | 2016 | Sleeve | 57.6 | No | No | No | Yes | Yes | Yes | No | Fair |
| Fedorka | 2016 | Sleeve | 58.8 | No | No | No | Yes | Yes | No scoreS | No | Fair |
| Gill | 2020 | Sleeve | 65.0 | No | No | No | Yes | Yes | No scores | No | Fair |
| Goettsche | 2016 | Sleeve | 24.0 | No | No | No | Yes | Yes | Yes | No | Fair |
| Graichen | 2015 | Sleeve | 43.2 | No | No | No | Yes | Yes | Yes | No | Fair |
| Gurel | 2021 | Sleeve | 82.4 | No | No | No | Yes | Yes | Yes | No | Fair |
| Huang | 2014 | Sleeve | 29.0 | No | No | No | Yes | Yes | Yes | No | Fair |
| Klim | 2020 | Sleeve | 63.6 | No | No | No | Yes | Yes | Yes | No | Fair |
| Klim | 2018 | Sleeve | 75.6 | No | No | No | Yes | Yes | No scores | No | Fair |
| Lai | 2020 | Sleeve | 24.0 | No | No | No | Yes | Yes | Yes | No | Fair |
| Martin-Hernandez | 2016 | Sleeve | 71.5 | No | No | No | Yes | Yes | Yes | No | Fair |
| Panesar | 2021 | Sleeve | 91.0 | No | No | No | Yes | Yes | No scores | No | Fair |
| Stefani | 2017 | Sleeve | 37.0 | No | No | No | Yes | Yes | Yes | No | Fair |
| Watters | 2017 | Sleeve | 63.0 | No | No | No | Yes | Yes | Yes | No | Fair |
| Wirries | 2019 | Sleeve | 60.0 | No | No | Yes | Yes | Yes | Yes | No | Fair |