Table 1_Structural healing after rotator cuff repair: clinical predictors, biomarkers, prediction models, and readiness for precision care.docx

Evidence spans routine clinical predictors, systemic metabolic biomarkers, quantitative imaging, tissue phenotypes, genetic variation, transcriptomic signatures, and artificial intelligence–based prediction models. However, prior reviews rarely distinguish these evidence objects or evaluate them according to intended clinical use and stage of validation.

This focused Mini Review assesses readiness for precision care across five linked dimensions: measurement validity, context-specific clinical validity, added value beyond routine predictors, independent validation, and action or impact evidence. Current literature is dominated by prognostic associations and model-development studies, whereas routine clinical predictors remain the most mature benchmarks. Promising signals have emerged across modalities, but heterogeneous structural endpoints, inconsistent measurement procedures, limited external validation, and the absence of decision-linked impact studies continue to impede individualized care.