The Efficacy and Safety of HoLEP for Benign Prostatic Hyperplasia With Large Volume: A Systematic Review and Meta-Analysis.
Fengze SunHuibao YaoXingjun BaoXiaofeng WangDi WangDongxu ZhangZhongbao ZhouJitao WuPublished in: American journal of men's health (2022)
This meta-analysis was to evaluate the efficacy and safety of holmium laser enucleation of prostate (HoLEP) in the treatment of benign prostatic hyperplasia (BPH) with large volume. PubMed, Embase, and Cochrane Library databases (until March 2022) were used to search related randomized controlled trials. A total of 11 studies including 1,258 patients were involved. HoLEP could significantly decrease the length of hospital stay and accelerate recovery. In subanalysis, HoLEP had better perioperative outcomes than bipolar transurethral resection of the prostate (B-TURP) and bipolar transurethral enucleation of the prostate (BPEP). The improvement in operative time and enucleation time was better in thulium laser enucleation of the prostate (ThuLEP) than HoLEP. In the follow-up period, the HoLEP decreased post-void residual urine (PVR) in short-term intervals and improved patients' maximum flow rate (Qmax) and prostate-specific antigen (PSA) in mid- and long-term intervals. In subanalysis, HoLEP presented significant improvements in Qmax, PSA, and quality of life (QoL) than B-TURP, and HoLEP could also improve Qmax than ThuLEP after 6 months of surgery. The HoLEP reduced the risk of postoperative bleeding compared with other surgeries in safety. In our study, we confirmed the advantages of HoLEP in treating BPH when the prostate size was larger than 80 mL, which indicated that HoLEP could be the best choice for treatment of large volume of prostate.
Keyphrases
- benign prostatic hyperplasia
- lower urinary tract symptoms
- end stage renal disease
- prostate cancer
- systematic review
- ejection fraction
- chronic kidney disease
- newly diagnosed
- randomized controlled trial
- healthcare
- peritoneal dialysis
- minimally invasive
- emergency department
- acute coronary syndrome
- patient reported outcomes
- machine learning
- atrial fibrillation
- mass spectrometry
- metabolic syndrome
- deep learning
- replacement therapy
- coronary artery bypass
- weight loss
- big data
- acute care