Key result
A 7-gene diagnostic signature demonstrated excellent performance for identifying atherosclerosis, with a training AUC of 0.992 (95% CI: 0.981-1.000) and validation AUCs ranging from 0.952 to 1.000.
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Randomized trial identifies inflammation-related biomarkers in atherosclerosis, suggesting potential for early diagnosis.
Effect estimate: AUC 0.992 (95% CI 0.981-1.000)
Zhang et al. (2026) studied Atherosclerosis (n=216). 7-gene diagnostic signature was evaluated on Diagnostic performance of the 7-gene logistic model in the training cohort (AUC 0.992, 95% CI 0.981-1.000). A 7-gene diagnostic signature demonstrated excellent performance for identifying atherosclerosis, with a training AUC of 0.992 (95% CI: 0.981-1.000) and validation AUCs ranging from 0.952 to 1.000.
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