A diagnostic test is rarely useful because of a single number. Its value depends on how sensitivity and specificity move together, how thresholds differ, and how performance changes across populations and settings.
Diagnostic test accuracy meta-analysis brings those studies into a coherent model. It asks what performance can reasonably be expected, how much studies differ, and what that uncertainty means for practice.
The purpose is not a decorative summary statistic. It is a more honest account of the evidence clinicians and patients must use.
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