Figure 3.
Decision curves of “treat all,” “treat none,” eIPMPre, and eIPMPost approaches to grade 3 to 4 ICAHT. By visualizing the net benefit (proportion of true positives, “weighted” proportion of false positives vs false negatives) of various strategies across a range of probability thresholds, decision curves enable comparison of the clinical utility (net benefit) of these approaches. Across all probability thresholds, a clinical approach based on either eIPM confers greater clinical net benefit than a “treat all” or “treat none” approach. At higher probability thresholds >20% (ie, in situations when the costs of false positives are higher than false negatives), a clinical approach based on eIPMPost confers greater clinical net benefit than that based on eIPMPre.

Decision curves of “treat all,” “treat none,” eIPMPre, and eIPMPost approaches to grade 3 to 4 ICAHT. By visualizing the net benefit (proportion of true positives, “weighted” proportion of false positives vs false negatives) of various strategies across a range of probability thresholds, decision curves enable comparison of the clinical utility (net benefit) of these approaches. Across all probability thresholds, a clinical approach based on either eIPM confers greater clinical net benefit than a “treat all” or “treat none” approach. At higher probability thresholds >20% (ie, in situations when the costs of false positives are higher than false negatives), a clinical approach based on eIPMPost confers greater clinical net benefit than that based on eIPMPre.

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