ReviewCurrent reviews in musculoskeletal medicine2020
Analysis and Review of Automated Risk Calculators Used to Predict Postoperative Complications After Orthopedic Surgery.
Review in Current reviews in musculoskeletal medicine, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.
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Who cites it
8 citing papers in PubMed.
- Predicting 30-day reoperation following primary total knee arthroplasty: machine learning model outperforms the ACS risk calculator.Medical & biological engineering & computing · 2025Article
- Predicting periprosthetic joint infection: external validation of preoperative prediction models.Journal of bone and joint infection · 2024Article
- A Comparison of the Caprini Score With an Institutional Risk Assessment Tool for Prediction of Venous Thromboembolism After Total Joint Arthroplasty at an Urban Tertiary Care Health Safety Net Hospital.Arthroplasty today · 2023Article
- Article
- A scoping review of complication prediction models in spinal surgery: An analysis of model development, validation and impact.North American Spine Society journal · 2022Article
- Nomogram to predict postoperative complications in elderly with total hip replacement.World journal of clinical cases · 2022Article
- Predicting Length of Stay using machine learning for total joint replacements performed at a rural community hospital.PloS one · 2022Article
- Development of a model to predict the probability of incurring a complication during spine surgery.European spine journal : official publication of the European Spine Society, the European Spinal Deformity Society, and the European Section of the Cervical Spine Research Society · 2021Article
Corrections and comments
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Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
purpose of reviewTo discuss the automated risk calculators that have been developed and evaluated in orthopedic surgery. RECENT
findingsIdentifying predictors of adverse outcomes following orthopedic surgery is vital in the decision-making process for surgeons and patients. Recently, automated risk calculators have been developed to quantify patient-specific preoperative risk associated with certain orthopedic procedures. Automated risk calculators may provide the orthopedic surgeon with a valuable tool for clinical decision-making, informed consent, and the shared decision-making process with the patient. Understanding how an automated risk calculator was developed is arguably as important as the performance of the calculator. Additionally, conveying and interpreting the results of these risk calculators with the patient and its influence on surgical decision-making are paramount. The most abundant research on automated risk calculators has been conducted in the spine, total hip and knee arthroplasty, and trauma literature. Currently, many risk calculators show promise, but much research is still needed to improve them. We recommend they be used only as adjuncts to clinical decision-making. Understanding how a calculator was developed, and accurate communication of results to the patient, is paramount.
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