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Conclusion Parameters for diagnostic performance significantly decrease if non-evaluable results are included by a 3×2 table for analysis (intention to diagnose approach).
By applying an intention to diagnose approach, we avoided the overestimation of sensitivity and specificity by including non-evaluable results in our calculation.
Figure 3 presents the 3×2 table, suggested for transparent reporting and for avoiding overestimation of sensitivity and specificity (with an intention to diagnose approach).
In fact, they conclude that parameters for diagnostic performance significantly decrease if non-evaluable results are included by a 3×2 table for analysis (intention to diagnose approach).
Objective To determine whether a 3×2 table, using an intention to diagnose approach, is better than the "classic" 2×2 table at handling transparent reporting and non-evaluable results, when assessing the accuracy of a diagnostic test.
Similar(55)
Directed by these discussions, an applicable signature extracting and diagnosing approach is designed.
Focused on this problem, this paper summarizes a thorough investigation into it from theoretical analysis to an applicable diagnosing approach design, as well as experimental verification.
Simulation studies showed that the intent-to-diagnose approach under-estimate sensitivity and specificity.
The intent-to-diagnose approach provides lower estimates for sensitivity, specificity and AUC as it is the most conservative approach.
The intent-to-diagnose approach largely under-estimates both sensitivity and specificity (12.6% and 11.9% bias, respectively).
The paper conducted a meta-analysis of coronary CT angiography studies and presented an intent-to-diagnose approach together with three commonly applied alternative approaches.
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