Fig. 1
From: Measuring the impact of screening automation on meta-analyses of diagnostic test accuracy
Example of effort/loss curve for a single meta-analysis using screening prioritization. The evolution of the sensitivity and specificity estimates for one diagnostic test “CD008803 1 GDx: inferior average” (n=48), where the candidate studies are screened using screening prioritization. The x-axis measures the number of screened studies (effort) and the the y-axis measures the summary estimates at the 25%, 50%, and 75% percentiles over 20 simulated screenings using screening prioritization. We also plot the difference to the “true” values (bottom)