The first causal inference analysis of the Catalan Arthroplasty Register shows a positive effect of antibiotic-loaded bone cement on knee prosthesis survival
The survival of a knee prosthesis is one of the most important indicators of the success or failure of a knee arthroplasty. An intervention that could increase prosthetic survival is the use of antibiotic-loaded bone cement (ALBC) during primary surgery, but the evidence for this is not conclusive....
| Autores: | , , |
|---|---|
| Tipo de recurso: | artículo |
| Fecha de publicación: | 2025 |
| País: | España |
| Institución: | Universitat Autònoma de Barcelona |
| Repositorio: | Dipòsit Digital de Documents de la UAB |
| Idioma: | inglés |
| OAI Identifier: | oai:dnet:uabarcelona_::4b88ac9503fe607ac6aa7ca3ed35dadf |
| Acceso en línea: | https://ddd.uab.cat/record/326515 https://dx.doi.org/urn:doi:10.1002/jeo2.70574 |
| Access Level: | acceso abierto |
| Palabra clave: | Antibiotic-loaded bone cement Causal inference Causal survival analysis Total knee arthroplasty |
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The first causal inference analysis of the Catalan Arthroplasty Register shows a positive effect of antibiotic-loaded bone cement on knee prosthesis survivalVelasco-Regúlez, Borja|||0000-0003-4718-3388Gil González, Sergi|||0000-0001-5939-0769Cerquides Bueno, Jesus|||0000-0002-3752-644XAntibiotic-loaded bone cementCausal inferenceCausal survival analysisTotal knee arthroplastyThe survival of a knee prosthesis is one of the most important indicators of the success or failure of a knee arthroplasty. An intervention that could increase prosthetic survival is the use of antibiotic-loaded bone cement (ALBC) during primary surgery, but the evidence for this is not conclusive. The question of whether such an intervention increases prosthetic survival is a causal one, and yet it has never been addressed with causal methods in the observational studies literature. This constitutes a serious limitation, as there is growing evidence that the best-suited framework for addressing causal questions with observational data is causal inference. In the present study, causal inference methods were employed to answer the research question of whether ALBC increases prosthetic survival. In particular, directed acyclic graphs were used for identification and causal survival forests were used to estimate the effect of interest. The rationale behind these methods is provided in the main text, and technical details are provided in Supporting Information: File S3. Data from the Catalan Arthroplasty Register were analysed. ALBC had an effect of increasing the overall prosthetic survival by 8% after 120 months of follow-up. The intervention had a positive effect across all the subgroups of the population defined by confounding variables, but the effect was greater in men, young patients, patients with rheumatoid arthritis or obesity, and patients who smoked or abused alcohol. The chosen causal assumptions had an impact on the obtained results, empirically showing the importance of using a causal framework. ALBC increased knee prosthesis survival among patients in the Catalan public healthcare system. Causal inference methods are the most appropriate for answering causal questions about the effect of ALBC on prosthetic survival when the analysed data are observational. Level III. 22025-01-0120252025-01-01Articlehttp://purl.org/coar/resource_type/c_6501VoRhttp://purl.org/coar/version/c_970fb48d4fbd8a85info:eu-repo/semantics/articleapplication/pdfhttps://ddd.uab.cat/record/326515https://dx.doi.org/urn:doi:10.1002/jeo2.70574reponame:Dipòsit Digital de Documents de la UABinstname:Universitat Autònoma de BarcelonaInglésengAgencia Estatal de Investigación https://doi.org/10.13039/501100011033 PID2022-136787NB-I00Agencia Estatal de Investigación https://doi.org/10.13039/501100011033 PID2019-104156GB-I00European Commission https://doi.org/10.13039/501100000780 101060693European Commission https://doi.org/10.13039/501100000780 101057693European Commission https://doi.org/10.13039/501100000780 952026open accesshttp://purl.org/coar/access_right/c_abf2Aquest document està subjecte a una llicència d'ús Creative Commons. Es permet la reproducció total o parcial, la distribució, la comunicació pública de l'obra i la creació d'obres derivades, fins i tot amb finalitats comercials, sempre i quan es reconegui l'autoria de l'obra original.https://creativecommons.org/licenses/by/4.0/info:eu-repo/semantics/openAccessoai:dnet:uabarcelona_::4b88ac9503fe607ac6aa7ca3ed35dadf2026-06-06T12:50:31Z |
| dc.title.none.fl_str_mv |
The first causal inference analysis of the Catalan Arthroplasty Register shows a positive effect of antibiotic-loaded bone cement on knee prosthesis survival |
| title |
The first causal inference analysis of the Catalan Arthroplasty Register shows a positive effect of antibiotic-loaded bone cement on knee prosthesis survival |
| spellingShingle |
The first causal inference analysis of the Catalan Arthroplasty Register shows a positive effect of antibiotic-loaded bone cement on knee prosthesis survival Velasco-Regúlez, Borja|||0000-0003-4718-3388 Antibiotic-loaded bone cement Causal inference Causal survival analysis Total knee arthroplasty |
| title_short |
The first causal inference analysis of the Catalan Arthroplasty Register shows a positive effect of antibiotic-loaded bone cement on knee prosthesis survival |
| title_full |
The first causal inference analysis of the Catalan Arthroplasty Register shows a positive effect of antibiotic-loaded bone cement on knee prosthesis survival |
| title_fullStr |
The first causal inference analysis of the Catalan Arthroplasty Register shows a positive effect of antibiotic-loaded bone cement on knee prosthesis survival |
| title_full_unstemmed |
The first causal inference analysis of the Catalan Arthroplasty Register shows a positive effect of antibiotic-loaded bone cement on knee prosthesis survival |
| title_sort |
The first causal inference analysis of the Catalan Arthroplasty Register shows a positive effect of antibiotic-loaded bone cement on knee prosthesis survival |
| dc.creator.none.fl_str_mv |
Velasco-Regúlez, Borja|||0000-0003-4718-3388 Gil González, Sergi|||0000-0001-5939-0769 Cerquides Bueno, Jesus|||0000-0002-3752-644X |
| author |
Velasco-Regúlez, Borja|||0000-0003-4718-3388 |
| author_facet |
Velasco-Regúlez, Borja|||0000-0003-4718-3388 Gil González, Sergi|||0000-0001-5939-0769 Cerquides Bueno, Jesus|||0000-0002-3752-644X |
| author_role |
author |
| author2 |
Gil González, Sergi|||0000-0001-5939-0769 Cerquides Bueno, Jesus|||0000-0002-3752-644X |
| author2_role |
author author |
| dc.subject.none.fl_str_mv |
Antibiotic-loaded bone cement Causal inference Causal survival analysis Total knee arthroplasty |
| topic |
Antibiotic-loaded bone cement Causal inference Causal survival analysis Total knee arthroplasty |
| description |
The survival of a knee prosthesis is one of the most important indicators of the success or failure of a knee arthroplasty. An intervention that could increase prosthetic survival is the use of antibiotic-loaded bone cement (ALBC) during primary surgery, but the evidence for this is not conclusive. The question of whether such an intervention increases prosthetic survival is a causal one, and yet it has never been addressed with causal methods in the observational studies literature. This constitutes a serious limitation, as there is growing evidence that the best-suited framework for addressing causal questions with observational data is causal inference. In the present study, causal inference methods were employed to answer the research question of whether ALBC increases prosthetic survival. In particular, directed acyclic graphs were used for identification and causal survival forests were used to estimate the effect of interest. The rationale behind these methods is provided in the main text, and technical details are provided in Supporting Information: File S3. Data from the Catalan Arthroplasty Register were analysed. ALBC had an effect of increasing the overall prosthetic survival by 8% after 120 months of follow-up. The intervention had a positive effect across all the subgroups of the population defined by confounding variables, but the effect was greater in men, young patients, patients with rheumatoid arthritis or obesity, and patients who smoked or abused alcohol. The chosen causal assumptions had an impact on the obtained results, empirically showing the importance of using a causal framework. ALBC increased knee prosthesis survival among patients in the Catalan public healthcare system. Causal inference methods are the most appropriate for answering causal questions about the effect of ALBC on prosthetic survival when the analysed data are observational. Level III. |
| publishDate |
2025 |
| dc.date.none.fl_str_mv |
2 2025-01-01 2025 2025-01-01 |
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Article http://purl.org/coar/resource_type/c_6501 VoR http://purl.org/coar/version/c_970fb48d4fbd8a85 |
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info:eu-repo/semantics/article |
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article |
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https://ddd.uab.cat/record/326515 https://dx.doi.org/urn:doi:10.1002/jeo2.70574 |
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https://ddd.uab.cat/record/326515 https://dx.doi.org/urn:doi:10.1002/jeo2.70574 |
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Inglés eng |
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Inglés |
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eng |
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Agencia Estatal de Investigación https://doi.org/10.13039/501100011033 PID2022-136787NB-I00 Agencia Estatal de Investigación https://doi.org/10.13039/501100011033 PID2019-104156GB-I00 European Commission https://doi.org/10.13039/501100000780 101060693 European Commission https://doi.org/10.13039/501100000780 101057693 European Commission https://doi.org/10.13039/501100000780 952026 |
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open access http://purl.org/coar/access_right/c_abf2 https://creativecommons.org/licenses/by/4.0/ |
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info:eu-repo/semantics/openAccess |
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open access http://purl.org/coar/access_right/c_abf2 https://creativecommons.org/licenses/by/4.0/ |
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