ArticleBone & joint research2020
Personalized estimation of one-year mortality risk after elective hip or knee arthroplasty for osteoarthritis.
Article in Bone & joint research, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
7 citing papers in PubMed, 9 citations in OpenAlex.
- Advancing preoperative planning technology in total joint arthroplasty with a real-time machine learning calculator: 1-year mortality risk in a value-based care era.Arthroplasty (London, England) · 2026Article
- Accelerometer-measured postoperative physical activity confers a significant mortality benefit following joint arthroplasty.Bone & joint research · 2026Article
- Perioperative risk factor analysis for mortality in patients undergoing total hip arthroplasty: A national database study from Türkiye.Acta orthopaedica et traumatologica turcica · 2026Article
- Postoperative joint pain is associated with long-term all-cause mortality after total joint arthroplasty.PloS one · 2025Article
- Prediction of Early Adverse Events After THA: A Comparison of Different Machine-Learning Strategies Based on 262,356 Observations From the Nordic Arthroplasty Register Association (NARA) Dataset.ACR open rheumatology · 2024Article
- Primary hip and knee arthroplasty at district level is safe and may reduce the burden on tertiary care in a low-income setting.BMC musculoskeletal disorders · 2022Article
- Integrated care systems, research, and innovation.Bone & joint research · 2021Article
Corrections and comments
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Authors and funding
11 authors at 4 institutions in 2 countries.
Funding
Abstract
aimsTo develop and validate patient-centred algorithms that estimate individual risk of death over the first year after elective joint arthroplasty surgery for osteoarthritis.
methodsA total of 763,213 hip and knee joint arthroplasty episodes recorded in the National Joint Registry for England and Wales (NJR) and 105,407 episodes from the Norwegian Arthroplasty Register were used to model individual mortality risk over the first year after surgery using flexible parametric survival regression.
resultsThe one-year mortality rates in the NJR were 10.8 and 8.9 per 1,000 patient-years after hip and knee arthroplasty, respectively. The Norwegian mortality rates were 9.1 and 6.0 per 1,000 patient-years, respectively. The strongest predictors of death in the final models were age, sex, body mass index, and American Society of Anesthesiologists grade. Exposure variables related to the intervention, with the exception of knee arthroplasty type, did not add discrimination over patient factors alone. Discrimination was good in both cohorts, with c-indices above 0.76 for the hip and above 0.70 for the knee. Time-dependent Brier scores indicated appropriate estimation of the mortality rate (≤ 0.01, all models).
conclusionSimple demographic and clinical information may be used to calculate an individualized estimation for one-year mortality risk after hip or knee arthroplasty (https://jointcalc.shef.ac.uk). These models may be used to provide patients with an estimate of the risk of mortality after joint arthroplasty. Cite this article:
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