ABSTRACT
Background: Laparoscopic adrenalectomy (LA) has emerged as the primary treatment for adrenal masses. This systematic review and meta-analysis assessed LA's feasibility, safety, effectiveness, and complications for adrenal masses exceeding 5 cm. Methods: The study was conducted using PRISMA guidelines with PROSPERO registration No. CRD42023462901. Adults with unilateral adrenal masses >5 cm who underwent unilateral LA were included. Intraoperative and postoperative measurements and complications were assessed. A systematic literature review employed a comprehensive search strategy which was last searched on September 8, 2023, through PubMed, Google Scholar, Web of Science, and ProQuest databases. Meta-analysis was utilized to analyze the outcomes. Risk of bias was assessed using the Newcastle-Ottawa scale. Results: This systematic review encompassed 25 studies involving 963 patients who underwent LA. Tumor size varied 7.05 cm [95% confidence interval (CI): 6.24-7.70], with 50% on the right and 45% on the left. The subgroup meta-analysis comparing the transperitoneal and retroperitoneal approaches revealed the transperitoneal approach h was utilized for the largest tumor size with a mean of 12.10 cm (95% CI: 11.30-12.96), compared to the retroperitoneal approach 5.83 cm (95% CI: 5.52-6.14). Notably, the mean operative time across studies was 137.4 minutes (95% CI: 113.36-150.94), bleeding prevalence was 0.02% (95% CI: 0.01-0.03%), and average blood loss was 110.6 mL (95% CI: 78.2-156.3). Postoperative complications such as pulmonary edema, pulmonary embolism, gastric dysfunction, and wound infection were very low, ranging from 0.03% to 0.4%. Out of 963 patients, only 49 were converted to open surgery. Patient hospital stay averaged 3.72 days (95% CI: 2.97-4.66); blood transfusion was required in 1.3% (95% CI: 0.30-8.88%). Conclusions: The feasibility and safety of LA for tumors exceeding 5 cm in size have notable implications for intraoperative and postoperative outcomes. Underreporting in the included studies may impact the generalizability of findings.
