ArticleJournal of orthopaedics
Development and validation of machine learning algorithms for postoperative opioid prescriptions after TKA.
Article in Journal of orthopaedics. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers, 3 of them syntheses that pooled it.
What it found
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The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
19 citing papers in PubMed, 3 syntheses or guidelines pooled it.
- Moving towards the use of artificial intelligence in pain management.European journal of pain (London, England) · 2025Pooled it
- Artificial intelligence in total and unicompartmental knee arthroplasty.BMC musculoskeletal disorders · 2024Pooled it
- Machine learning in knee arthroplasty: specific data are key-a systematic review.Knee surgery, sports traumatology, arthroscopy : official journal of the ESSKA · 2022Pooled it
- Joint-specific measures improve risk adjustment in total knee arthroplasty: A machine learning approach.Knee surgery, sports traumatology, arthroscopy : official journal of the ESSKA · 2026Article
- Development and Internal Validation of a Machine Learning Model for Predicting Long-Term Opioid Therapy After Hip Fracture Surgery in Older, Opioid-Naïve Adults.European journal of pain (London, England) · 2026Article
- Current Concepts in Artificial Intelligence-Assisted Arthroplasty: A Review of the Perioperative Pathway.Cureus · 2025Review
- The Prediction of Venous Thromboembolism Using Artificial Intelligence and Machine Learning in Lower Extremity Arthroplasty: A Systematic Review.Arthroplasty today · 2025Article
- Applications of machine learning and deep learning in musculoskeletal medicine: a narrative review.European journal of medical research · 2025Review
- A systematic review of machine learning applications in predicting opioid associated adverse events.NPJ digital medicine · 2025Article
- Machine Learning Algorithms Can Be Reliably Leveraged to Identify Patients at High Risk of Prolonged Postoperative Opioid Use Following Orthopedic Surgery: A Systematic Review.HSS journal : the musculoskeletal journal of Hospital for Special Surgery · 2024Review
- CORR Insights®: Are Current Survival Prediction Tools Useful When Treating Subsequent Skeletal-related Events From Bone Metastases?Clinical orthopaedics and related research · 2024Article
- Bibliometric analysis of machine learning trends and hotspots in arthroplasty literature over 31 years.Journal of orthopaedics · 2024Article
- Patient-Reported Data Augment Prediction Models of Persistent Opioid Use after Elective Upper Extremity Surgery.Plastic and reconstructive surgery · 2023Article
- The Skeletal Oncology Research Group Machine Learning Algorithm (SORG-MLA) for predicting prolonged postoperative opioid prescription after total knee arthroplasty: an international validation study using 3,495 patients from a Taiwanese cohort.BMC musculoskeletal disorders · 2023Article
- On the Horizon: Specific Applications of Automation and Artificial Intelligence in Anesthesiology.Current anesthesiology reports · 2023Article
- Prediction of complications and surgery duration in primary TKA with high accuracy using machine learning with arthroplasty-specific data.Knee surgery, sports traumatology, arthroscopy : official journal of the ESSKA · 2023Article
- Using machine learning to classify patients on opioid use.Journal of pharmaceutical health services research : an official journal of the Royal Pharmaceutical Society of Great Britain · 2021Article
- Artificial Learning and Machine Learning Decision Guidance Applications in Total Hip and Knee Arthroplasty: A Systematic Review.Arthroplasty today · 2021Article
- Predicting postoperative opioid use with machine learning and insurance claims in opioid-naïve patients.American journal of surgery · 2021Article
Corrections and comments
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Authors and funding
5 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
objectiveThe aims of this study were to develop machine learning algorithms for preoperative prediction of prolonged opioid prescriptions after TKA and to identify variables that can predict the probability of this adverse outcome.
methodsFive algorithms were developed for prediction of prolonged postoperative opioid prescriptions.
resultsThe stochastic gradient boosting (SGB) model had the best performance. Age, history of preoperative opioid use, marital status, diagnosis of diabetes, and several preoperative medications were predictive of prolonged postoperative opioid prescriptions.
conclusionThe SGB algorithm developed could help improve preoperative identification of TKA patients at risk for prolonged postoperative opioid prescriptions.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.