Incidence rate of total knee arthroplasties in eleven European countries: Do they reach a plateau?
<h4>Background</h4>From several decades, the evolutions of the Incidence Rate (IR) of Primary Knee Arthroplasties are continuously increasing worldwide and have been widely studied in several countries. Some recent works have highlighted the fact that the IR is following a sigmoid curve...
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2025-01-01
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| Online Access: | https://doi.org/10.1371/journal.pone.0312701 |
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| author | Mathieu Le Stum Myriam Le Goff-Pronost Eric Stindel Guillaume Dardenne |
| author_facet | Mathieu Le Stum Myriam Le Goff-Pronost Eric Stindel Guillaume Dardenne |
| author_sort | Mathieu Le Stum |
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| description | <h4>Background</h4>From several decades, the evolutions of the Incidence Rate (IR) of Primary Knee Arthroplasties are continuously increasing worldwide and have been widely studied in several countries. Some recent works have highlighted the fact that the IR is following a sigmoid curve composed of an exponential growth followed by a linear phase and finished by a plateau. Our objective is to assess the IR evolution of eleven European countries, representing thus a large proportion of this continent, regarding this sigmoid.<h4>Methods</h4>IRs of primary knee arthroplasties for Austria, Denmark, Finland, France, Germany, Hungary, Italy, Poland, Spain, Sweden, and the United Kingdom between 2005 and 2019 were retrieved from the EUROSTAT database. Several regression models were fitted to each country's IRs: Poisson, linear, asymptotic, logistic, and Gompertz regression. For each country and each model, the RMSE (Root Mean Square Error) and R2 were calculated and used to estimate their position with respect to this sigmoid curve.<h4>Results</h4>The best regression models for knee arthroplasties varied following countries. Logistic and Gompertz regressions had the lowest RMSE and R2 values for Austria, Denmark, Germany, Sweden, and the UK. Hungary, Italy, and Poland favored the Poisson regression model. Finland and Spain presented difficulties in determining the optimal model (linear or Poisson), while France faced challenges in choosing between logistic, Gompertz, and linear regression.<h4>Conclusion</h4>In conclusion, the growth dynamics of IR differ across European countries. Some countries seem to have already reached a plateau and will therefore experience slight growth in the future. |
| format | Article |
| id | doaj-art-5cefea2d608a4e549c474d859d7488df |
| institution | Kabale University |
| issn | 1932-6203 |
| language | English |
| publishDate | 2025-01-01 |
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| spelling | doaj-art-5cefea2d608a4e549c474d859d7488df2025-01-17T05:31:43ZengPublic Library of Science (PLoS)PLoS ONE1932-62032025-01-01201e031270110.1371/journal.pone.0312701Incidence rate of total knee arthroplasties in eleven European countries: Do they reach a plateau?Mathieu Le StumMyriam Le Goff-PronostEric StindelGuillaume Dardenne<h4>Background</h4>From several decades, the evolutions of the Incidence Rate (IR) of Primary Knee Arthroplasties are continuously increasing worldwide and have been widely studied in several countries. Some recent works have highlighted the fact that the IR is following a sigmoid curve composed of an exponential growth followed by a linear phase and finished by a plateau. Our objective is to assess the IR evolution of eleven European countries, representing thus a large proportion of this continent, regarding this sigmoid.<h4>Methods</h4>IRs of primary knee arthroplasties for Austria, Denmark, Finland, France, Germany, Hungary, Italy, Poland, Spain, Sweden, and the United Kingdom between 2005 and 2019 were retrieved from the EUROSTAT database. Several regression models were fitted to each country's IRs: Poisson, linear, asymptotic, logistic, and Gompertz regression. For each country and each model, the RMSE (Root Mean Square Error) and R2 were calculated and used to estimate their position with respect to this sigmoid curve.<h4>Results</h4>The best regression models for knee arthroplasties varied following countries. Logistic and Gompertz regressions had the lowest RMSE and R2 values for Austria, Denmark, Germany, Sweden, and the UK. Hungary, Italy, and Poland favored the Poisson regression model. Finland and Spain presented difficulties in determining the optimal model (linear or Poisson), while France faced challenges in choosing between logistic, Gompertz, and linear regression.<h4>Conclusion</h4>In conclusion, the growth dynamics of IR differ across European countries. Some countries seem to have already reached a plateau and will therefore experience slight growth in the future.https://doi.org/10.1371/journal.pone.0312701 |
| spellingShingle | Mathieu Le Stum Myriam Le Goff-Pronost Eric Stindel Guillaume Dardenne Incidence rate of total knee arthroplasties in eleven European countries: Do they reach a plateau? PLoS ONE |
| title | Incidence rate of total knee arthroplasties in eleven European countries: Do they reach a plateau? |
| title_full | Incidence rate of total knee arthroplasties in eleven European countries: Do they reach a plateau? |
| title_fullStr | Incidence rate of total knee arthroplasties in eleven European countries: Do they reach a plateau? |
| title_full_unstemmed | Incidence rate of total knee arthroplasties in eleven European countries: Do they reach a plateau? |
| title_short | Incidence rate of total knee arthroplasties in eleven European countries: Do they reach a plateau? |
| title_sort | incidence rate of total knee arthroplasties in eleven european countries do they reach a plateau |
| url | https://doi.org/10.1371/journal.pone.0312701 |
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