JointCalc: A web-based personalised patient decision support tool for joint replacement

Зотов, Е. В.; Hills, A.; Mello, Fabio Luis de; Aram, Parham; Sayers, Adrian; Blom, Ashley W; McCloskey, Eugène; Wilkinson, J. Mark; Kadirkamanathan, Visakan

doi:10.1016/j.ijmedinf.2020.104217

Cited by 14 publications

(12 citation statements)

References 26 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Patient-reported outcome measures (PROMs) have established roles in the measurement of outcome in randomised controlled trials [2,3] and observational studies [4], as well as more contemporary roles comparing healthcare delivery between providers [5] and supporting patient decision-making [6]. In the UK, the collection of PROMs before and after hip and knee replacement surgery has been mandated since 2009 as part of a national audit [5].…”

Section: Introductionmentioning

confidence: 99%

Minimal important changes and differences were estimated for Oxford hip and knee scores following primary and revision arthroplasty

Sabah

Alvand

Beard

et al. 2022

Journal of Clinical Epidemiology

View full text Add to dashboard Cite

This is a PDF file of an article that has undergone enhancements after acceptance, such as the addition of a cover page and metadata, and formatting for readability, but it is not yet the definitive version of record. This version will undergo additional copyediting, typesetting and review before it is published in its final form, but we are providing this version to give early visibility of the article. Please note that, during the production process, errors may be discovered which could affect the content, and all legal disclaimers that apply to the journal pertain.

show abstract

Section: Introductionmentioning

confidence: 99%

Minimal important changes and differences were estimated for Oxford hip and knee scores following primary and revision arthroplasty

Sabah

Alvand

Beard

et al. 2022

Journal of Clinical Epidemiology

View full text Add to dashboard Cite

show abstract

“…We recently reported the development of the first comprehensive web-based personalized decision support tool for patients considering hip arthroplasty ( https://jointcalc.shef.ac.uk ). 7 , 18 , 19 This tool was developed in partnership with patients to enable them to come to an informed decision about the risks and benefits of surgery. Here, we describe the development and validation of the tool’s underlying personalized models that generate absolute predicted risk of death over the first year after hip or knee arthroplasty using demographic, prosthesis, and procedure-related data from the National Joint Registry for England and Wales (NJR).…”

Section: Introductionmentioning

confidence: 99%

Personalized estimation of one-year mortality risk after elective hip or knee arthroplasty for osteoarthritis

Trela-Larsen

Kroken

Bartz‐Johannessen

et al. 2020

Bone & Joint Research

Self Cite

View full text Add to dashboard Cite

Aims To develop and validate patient-centred algorithms that estimate individual risk of death over the first year after elective joint arthroplasty surgery for osteoarthritis. Methods A 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. Results The 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). Conclusion Simple 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: Bone Joint Res 2020;9(11):808–820.

show abstract

“…16,25 Joint replacement registers provide an ideal tool to constantly update and expand this information. Decision aid tools can assist in helping patients and clinicians make informed choices around primary joint replacement 26,27 by highlighting risks to groups at higher risk of poor outcomes, such as men and young patients, as shown here and in previous studies. 28,29 While planning this analysis we had a choice between using a competing risks model or Kaplan-Meier estimates.…”

Section: Discussionmentioning

confidence: 68%

How long do revised and multiply revised hip replacements last? A retrospective observational study of the National Joint Registry

Deere¹,

Whitehouse²,

Kunutsor³

et al. 2022

The Lancet Rheumatology

Self Cite

View full text Add to dashboard Cite

JointCalc: A web-based personalised patient decision support tool for joint replacement

Cited by 14 publications

References 26 publications

Minimal important changes and differences were estimated for Oxford hip and knee scores following primary and revision arthroplasty

Minimal important changes and differences were estimated for Oxford hip and knee scores following primary and revision arthroplasty

Personalized estimation of one-year mortality risk after elective hip or knee arthroplasty for osteoarthritis

How long do revised and multiply revised hip replacements last? A retrospective observational study of the National Joint Registry

Contact Info

Product

Resources

About