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Nevin Manimala Statistics

Statistical Primer: Using Prognostic Models to Predict the Future: What Cardiothoracic Surgery Can Learn from Strictly Come Dancing

Eur J Cardiothorac Surg. 2023 Nov 11:ezad385. doi: 10.1093/ejcts/ezad385. Online ahead of print.

ABSTRACT

Prognostic models are widely used across medicine and within cardiothoracic surgery, where predictive tools such as EuroSCORE are commonplace. Such models are a useful component of clinical assessment but may be misapplied. In this article, we demonstrate some of the major issues with risk scores by using the popular BBC television programme Strictly Come Dancing (SCD; known as Dancing with the Stars in many other countries) as an example. We generated a multivariable prognostic model using data from the then completed 19 series of SCD to predict prospectively the results of the 20th series. The initial model based solely on demographic data was limited in its predictive value (0.25, 0.22; R2 and Spearman’s Rank Correlation respectively) but was substantially improved following introduction of early judges’ scores deemed representative of whether contestants could actually dance (0.40, 0.30). Finally, we utilise our model to discuss the difficulties and pitfalls in using and interpreting prognostic models in cardiothoracic surgery and beyond, particularly where these do not adequately capture potentially important prognostic information.

PMID:37952190 | DOI:10.1093/ejcts/ezad385

By Nevin Manimala

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