Fig. 4
Decision curve analysis for the 28-day survival rate nomogram. The y-axis measures the net benefit, which quantifies the additional benefit of using the 28-day survival rate nomogram compared to assuming that all patients will survive or none will survive. The x-axis represents the threshold probability, which is the minimum probability of survival that a patient or clinician would consider acceptable to take a particular action or intervention. The dotted line represents the 28-day survival rate prediction nomogram, which is the model used to predict the likelihood of a patient surviving for 28 days. The thin solid line represents the assumption that all patients will survive, which would be the scenario if no action is taken and all patients are assumed to have a 100% survival rate. The thick solid line represents the assumption that no patients will survive, which would be the scenario if no action is taken and all patients are assumed to have a 0% survival rate. The decision curve shows that the nomogram provides a net benefit over the “all” and “none” strategies when the threshold probability is between certain values (20–80%). This indicates that using the nomogram to guide treatment decisions can be more beneficial than assuming all patients will either survive or not survive.
