GuidelineEuropean journal of orthopaedic surgery & traumatology : orthopedie traumatologie2023
Surgeon confidence in planning total shoulder arthroplasty improves after consulting a clinical decision support tool.
Guideline in European journal of orthopaedic surgery & traumatology : orthopedie traumatologie, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers, 1 of them a synthesis that pooled it.
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Who cites it
8 citing papers in PubMed, 1 synthesis or guideline pooled it, 15 citations in OpenAlex.
- The implementation of artificial intelligence in upper extremity surgery: a systematic review.Frontiers in artificial intelligence · 2025Pooled it
- Preoperative planning software as a digital health tool in orthopedics: Surgeon-reported benefits in shoulder arthroplasty.Surgery open science · 2026Article
- Assessing the accuracy of a machine learning prediction for 2 different shoulder prostheses: an external validation study.JSES international · 2025Article
- Use of pre-operative 3D planning software for revision shoulder arthroplasty: clinical experience data from a survey in a real-world setting.JSES reviews, reports, and techniques · 2024Article
- Initial clinical experience with a predictive clinical decision support tool for anatomic and reverse total shoulder arthroplasty.European journal of orthopaedic surgery & traumatology : orthopedie traumatologie · 2024Article
- Impact of Deltoid Computer Tomography Image Data on the Accuracy of Machine Learning Predictions of Clinical Outcomes after Anatomic and Reverse Total Shoulder Arthroplasty.Journal of clinical medicine · 2024Article
- Benign prostatic hyperplasia is associated with increased 90-day medical complications but not peri-prosthetic joint infections following reverse shoulder arthroplasty.European journal of orthopaedic surgery & traumatology : orthopedie traumatologie · 2023Article
- The influence of prior dental pathology on medical complications and peri-prosthetic joint infections following primary shoulder arthroplasty.European journal of orthopaedic surgery & traumatology : orthopedie traumatologie · 2023Article
Corrections and comments
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Authors and funding
5 authors at 5 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
purposeSoftware algorithms are increasingly available as clinical decision support tools (CDSTs) to support shared decision-making. We sought to understand if patient-specific predictions from a CDST would impact orthopedic surgeons' preoperative planning decisions and corresponding confidence.
methodsWe performed a survey study of orthopedic surgeons with at minimum of 2 years of independent shoulder arthroplasty experience. We generated patient profiles for 18 faux cases presenting with glenohumeral osteoarthritis and emailed 93 surgeons requesting their recommendation for anatomic or reverse total shoulder arthroplasty for each case and their certainty in their recommendation on a 4-point Likert scale. The thirty respondents were later sent a second survey with the same cases that now included predicted patient-specific outcomes and complication rates generated by a CDST.
resultsInitial recommendations and changes in recommendation varied widely by surgeon and by case. After viewing the results of the CDST, surgeons switched from anatomic to reverse recommendations in 46 instances (12% of initial anatomic) and from reverse to anatomic in 22 instances (6% of initial reverse). Overall, surgeon change in confidence increased significantly across all responses (p = 0.0001), with certain cases and certain surgeons having significant changes. Change in confidence did not correlate with surgeon-specific factors, including years in practice.
conclusionThe addition of CDST reports to preoperative planning for anatomic and reverse total shoulder arthroplasty informed decision-making but did not direct recommendations uniformly. However, the CDST information provided did increase surgeon confidence regardless of implant selection and irrespective of surgeon experience.
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