Clinical studies on low intensity extracorporeal shockwave therapy for erectile dysfunction: a systematic review and meta-analysis of randomised controlled trials.
Ioannis SokolakisGeorgios HatzichristodoulouPublished in: International journal of impotence research (2019)
The efficacy of low intensity extracorporeal shock wave therapy (LI-ESWT) for erectile dysfunction (ED) has received hard criticism and recently published meta-analyses were not able to provide further insights, nor specific recommendations. The aim of this systematic review and meta-analysis is to evaluate the efficacy of LI-ESWT for ED, identify the ideal treatment population and treatment protocol, and provide recommendations for future research in the field. A systematic research for relevant clinical studies published from January 2010 to September 2018 was performed, using the following databases: Medline, Embase, The Cochrane Library, Scopus, and Web of Science. Only clinical studies that investigated the efficacy of LI-ESWT for ED only, and reported primary outcomes using IIEF-EF scores/questionnaires were included. Both, randomised controlled trials (RCTs) and cohort studies were included, but the meta-analysis was performed only for sham-controlled RCTs. Ten RCTs including 873 patients were selected for the meta-analysis. Pooling data of these studies showed that LI-ESWT could significantly improve erectile function in men with ED regarding both patient-subjective outcomes (IIEF-EF: +3.97; 95% CI [2.09-5.84]; p < 0.0001, EHS ≥ 3: OR: 4.35; 95% CI [1.82-10.37]; p = 0.0009) and patient-objective outcomes (peak systolic velocity: +4.12; 95% CI [2.30-5.94]; p < 0.00001). In conclusion, the present meta-analysis provided results showing that LI-ESWT significantly improves erectile function in patients with vasculogenic ED.
Keyphrases
- chronic kidney disease
- end stage renal disease
- meta analyses
- systematic review
- emergency department
- ion batteries
- randomized controlled trial
- case control
- case report
- blood pressure
- solid state
- big data
- heart failure
- public health
- left ventricular
- clinical practice
- mass spectrometry
- metabolic syndrome
- ejection fraction
- machine learning
- blood flow
- type diabetes
- electronic health record
- smoking cessation
- double blind
- mesenchymal stem cells
- newly diagnosed
- sleep quality
- replacement therapy