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Arthroplasty versus arthrodesis for end-stage ankle arthritis: decision analysis using Markov model

Cited 23 time in Web of Science Cited 25 time in Scopus
Authors

Kwon, Dae Gyu; Chung, Chin Youb; Park, Moon Seok; Sung, Ki Hyuk; Kim, Tae Won; Lee, Kyoung Min

Issue Date
2011-11
Publisher
Springer Verlag
Citation
International Orthopaedics, Vol.35 No.11, pp.1647-1653
Abstract
Total ankle arthroplasty and arthrodesis are the two mainstreams of treatment for end-stage ankle arthritis. This study was performed to determine which is a better choice for ankle arthritis, using a decision analysis and Markov model to reflect the repetitive nature of revision arthroplasty. Based on current published evidence, a decision tree was constructed to compare the clinical outcomes of total ankle arthroplasty and arthrodesis, which contained the possible clinical events and the probabilities. Total ankle arthroplasty was subject to revision arthroplasty, and a Markov model was adopted for this branch to reflect this repetitive trait of the procedure. Arthrodesis could cause adjacent arthritis, and a conventional decision analysis model was adopted for this branch. Quality well-being index score was used for clinical outcome assessment, which was the utility in the decision tree. Sensitivity analysis was performed to test the stability of the decision tree and the threshold values. The model favoured total ankle arthroplasty over arthrodesis in terms of quality well-being index score. Sensitivity analysis showed that the model was considerably stable, unaffected by the changes in probabilities of failure after total ankle arthroplasty and adjacent arthritis after arthrodesis. Based on current evidence, total ankle arthroplasty was found to be a better treatment than arthrodesis for ankle arthritis. Future development in the implant materials, improved understanding of ankle biomechanics, and surgical techniques will further enhance the clinical outcome of total ankle arthroplasty.
ISSN
0341-2695
URI
https://hdl.handle.net/10371/192103
DOI
https://doi.org/10.1007/s00264-011-1336-1
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  • College of Medicine
  • Department of Medicine
Research Area Cerebral palsy, Medical image, Motion analysis, Pediatric orthopedic surgery, Statistics in orthopedic research

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