To assess the clinical evidence defining the optimal combination of arthroscopic suture technique and platelet-rich products (PRP), and application for arthroscopic rotator cuff repair (ARCR). All level of evidence (LOE) I randomized controlled trials (RCT) focusing on arthroscopic suture technique and/or PRP application in ARCR were included. The exclusion criteria were LOE II or worse, studies with other interventions, studies reported none of the predetermined clinical outcomes; studies unable to extract any precise data; studies from the same patient group of included studies. A pair-wise meta-analysis and Bayesian network analysis were performed on each comparison. The intervention options were ranked by Bayesian network analysis. 27 studies comprising 1,947 individuals met the inclusion criteria. The application of transosseous equivalent/suture bridge repair (SB) with PRP (SB+PRP) significantly reduced retear rate (risk ratio [RR], 0.29; 95% confidence interval [CI], [0.15, 0.55].) and increased Constant-Murley score (mean difference, 1.90; 95% CI, [0.14, 3.74]), compared to SB repair. Single-row repair (SR) with PRP usage (SR+PRP) significantly reduced retear rate (RR, 0.27; 95% CI, [0.12, 0.55]) and pain visual analog scale (VAS) (mean difference:-0.84; 95% CI [-1.39,-0.46].), increased University of California, Los Angeles (UCLA) shoulder score (mean difference: 1.48; 95% CI [0.50, 2.58]) and Constant-Murley score (mean difference: 4.53; 95% CI [2.65, 6.38]), compared to SR repair. The ranking for outcomes demonstrated SB+PRP resulted in the best retear rate, UCLA shoulder score, with the second-best postoperative pain, Constant-Murley score, while SR+PRP resulted in the best postoperative pain, Constant-Murley score, with the second-best retear rate and UCLA score. Arthroscopic rotator cuff repair utilizing SB+PRP yields optimal retear rate and UCLA shoulder score, with the second-best postoperative pain and Constant-Murley shoulder outcome score, while SR+PRP yields the best in these two parameters. Level I, Bayesian network analysis of level I RCT.