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Development and validation of patient-level prediction models for adverse outcomes following total knee arthroplasty

2020-12-15

Abstract excerpt

Abstract Background Elective total knee replacement (TKR) is a safe and cost-effective surgical procedure for treating severe knee osteoarthritis (OA). Although complications following surgery are rare, prediction tools could help identify those patients who are at particularly high risk who could then be targeted with preventative interventions. We aimed to develop a simple model to help inform treatment choices....

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Literature Corpus work
014ea994-d747-51f4-895e-6ea1aedda49d
DOI
10.1101/2020.12.14.20240994
Open publication

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Development and validation of patient-level prediction models for adverse outcomes following total knee arthroplastyDOI 10.1101/2020.12.14.20240994
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