| Literature DB >> 28978308 |
Amelia R Winter1, Jamie E Collins1,2, Jeffrey N Katz3,4,5,6.
Abstract
BACKGROUND: Arthroscopic surgery is a common treatment for knee osteoarthritis (OA), particularly for symptomatic meniscal tear. Many patients with knee OA who have arthroscopies go on to have total knee arthroplasty (TKA). Several individual studies have investigated the interval between knee arthroscopy and TKA. Our objective was to summarize published literature on the risk of TKA following knee arthroscopy, the duration between arthroscopy and TKA, and risk factors for TKA following knee arthroscopy.Entities:
Keywords: Arthroscopic partial meniscectomy; Arthroscopy; Osteoarthritis; Total knee arthroplasty
Mesh:
Year: 2017 PMID: 28978308 PMCID: PMC5628417 DOI: 10.1186/s12891-017-1765-0
Source DB: PubMed Journal: BMC Musculoskelet Disord ISSN: 1471-2474 Impact factor: 2.562
Fig. 1Search and selection process
Characteristics of included studies
| Author and Year | Country | Follow-Up (Years) | Mean Duration (years) | Analysis Group | Total TKA | Annual Incidence (%) | Lower 95% CI | Upper 95% CI | |||
|---|---|---|---|---|---|---|---|---|---|---|---|
| Clinical Cohort | Selected for More Severe OA | KL ≥ 3 | Bernard et al. (2004) [ | U.K. | 5 | Unknown | 100 | 11 | 2.20% | 1.10% | 3.90% |
| KL = 4 | Bin et al. (2008) [ | South Korea | 4 | 4 | 68 | 4 | 1.36% | 0.37% | 3.43% | ||
| Outerbridge ≥2 | Koyonos et al. (2009)a [ | U.S.A. | 1 | 0.5 | 30 | 1 | 3.33% | 0.08% | 17.22% | ||
| 0 | 29 | 0 | 0.00% | 0.00% | 11.94% | ||||||
| KL ≥ 3 | Lyu et al. (2015) [ | Taiwan | 1 | 1 | 844 | 116 | 13.74% | 11.49% | 16.25% | ||
| KL = 4 | Pearse and Craig (2003) [ | U.K. | 4 | 4 | 126 | 39 | 7.14% | 5.13% | 9.64% | ||
| KL ≥ 3 | Rand et al. (1985) [ | U.S.A. | 2 | 0.5 | 87 | 2 | 1.15% | 0.14% | 4.09% | ||
| Outerbridge ≥2 | Skedros et al. (2014) [ | U.S.A. | 3 | 3 | 42 | 11 | 8.73% | 4.44% | 15.08% | ||
| KL ≥ 3 | Steadman et al. (2013) [ | U.S.A. | 10 | 4.4 | 69 | 43 | 6.23% | 4.55% | 8.30% | ||
| Unselected | 2 | 8 | 0 | 0.00% | 0.00% | 8.81% | |||||
| Jackson et al. (2003)a [ | U.S.A. | 5 | 32 | 0 | 0.00% | 0.00% | 2.28% | ||||
| 39 | 3 | 1.54% | 0.32% | 4.43% | |||||||
| 42 | 12 | 5.71% | 2.99% | 9.77% | |||||||
| McGinley et al. (1999) [ | U.S.A. | 13 | 7 | 91 | 30 | 2.50% | 1.69% | 3.55% | |||
| Raaijmaakers et al. (2010) [ | Belgium | 3 | 1 | 183 | 40 | 6.83% | 4.92% | 9.18% | |||
| Sansone et al. (2015) [ | Italy | 20 | 13.3 | 75 | 12 | 0.80% | 0.41% | 1.39% | |||
| Registry | Selected for Older Age | Age > 60 | Dearing et al. (2010) [ | U.K. | 9 | 6 | 3033 | 800 | 2.93% | 2.73% | 3.14% |
| Age > 65 | Johanson et al. (2011) [ | U.S.A. | 10 | 9 | 40,804 | 13,261 | 3.25% | 3.20% | 3.30% | ||
| Age > 50 | Wai et al. (2002) [ | Canada | 3 | 3 | 6212 | 1146 | 6.15% | 5.81% | 6.50% | ||
| Unselected | Adelani et al. (2016)a [ | U.S.A. | 4 | 2 | 6972 | 266 | 0.95% | 0.84% | 1.07% | ||
| 10,645 | 496 | 1.16% | 1.06% | 1.27% | |||||||
| Fedorka et al. (2014) [ | U.S.A. | 5 | Unknown | 159,975 | 8319 | 1.04% | 1.02% | 1.06% | |||
| Harris et al. (2013) [ | Australia | 8 | 2 | 121,115 | 9110 | 0.94% | 0.92% | 0.96% | |||
| U.K 1993 | Unknown | 6158 | 985 | 3.20% | 3.00% | 3.40% | |||||
| 9048 | 1728 | 3.82% | 3.64% | 4.00% | |||||||
| Hawker et al. (2008)a [ | UK 1997 | 5 | |||||||||
| 3803 | 745 | 3.92% | 3.65% | 4.20% | |||||||
| Canada 1997 | |||||||||||
| 3425 | 712 | 4.16% | 3.86% | 4.47% | |||||||
| Zikria et al. (2016) [ | U.S.A. | 7 | Unknown | 842 | 131 | 2.22% | 1.86% | 2.63% | |||
aStudies contain multiple unique study arms, which were separated for our analysis; Jackson rows: Severity stages I, II, III, IV
Fig. 2Mean Annual Incidence of Registry – Unselected, Clinical Cohort – Unselected, Registry – Older Age, and Clinical Cohort – More Severe OA. Each bar represents the estimated yearly incidence of TKA from the logisitc random effects model. The vertical lines represent the 95% confidence intervals