In Silico Performance vs Real-World Utility of Surgical Prediction Models: What Does it Take to Change a Surgeon's Mind?
- PMID: 37171087
- DOI: 10.1097/XCS.0000000000000757
In Silico Performance vs Real-World Utility of Surgical Prediction Models: What Does it Take to Change a Surgeon's Mind?
Comment on
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American College of Surgeons NSQIP Risk Calculator Accuracy Using a Machine Learning Algorithm Compared with Regression.J Am Coll Surg. 2023 May 1;236(5):1024-1030. doi: 10.1097/XCS.0000000000000556. Epub 2023 Jan 12. J Am Coll Surg. 2023. PMID: 36728295
References
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- Bilimoria KY, Liu Y, Paruch JL, et al. Development and evaluation of the universal ACS NSQIP surgical risk calculator: a decision aid and informed consent tool for patients and surgeons. J Am Coll Surg. 2013;217:833–842.e1.
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- Liu Y, Ko CY, Hall BL, et al. American College of Surgeons NSQIP risk calculator accuracy using a machine learning algorithm compared with regression. J Am Coll Surg. 2023;236:1024–1030.
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- Vickers AJ, van Calster B, Steyerberg EW. A simple, step-by-step guide to interpreting decision curve analysis. Diagn Progn Res. 2019;3:18.
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- Vickers AJ, Holland F. Decision curve analysis to evaluate the clinical benefit of prediction models. Spine J. 2021;21:1643–1648.
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- Vickers AJ, Elkin EB. Decision curve analysis: a novel method for evaluating prediction models. Med Decis Making. 2006;26:565–574.
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