Effectiveness and Safety of Electroacupuncture on Poststroke Urinary Incontinence: Study Protocol of a Pilot Multicentered, Randomized, Parallel, Sham-Controlled Trial.
Seungwon ShinJiwon LeeAmi YuJunghee YooEuiju LeePublished in: Evidence-based complementary and alternative medicine : eCAM (2016)
This pilot multicentered, randomized, parallel, sham-controlled trial is intended to evaluate the effectiveness and safety of electroacupuncture therapy for poststroke patients with urinary incontinence. Forty stroke survivors aged >19 years will be recruited in 2 hospitals in the Republic of Korea. Patients who experienced stroke within 2 years and satisfy criteria of urinary frequencies ≥2 with either 3 to 4 points on the Patient Perception of Intensity of Urgency Scale or 13 points or more on the Korean version of the International Prostate Symptom Scale (K-IPSS) will be identified, along with other eligibility criteria. Patients will be randomly allocated to either a treatment or control group to receive 10 sessions of electroacupuncture or sham therapies, respectively. Patients and outcome assessors will be blinded. The primary outcome is the change of Total Urgency and Frequency Score between the baseline and the trial endpoint. The K-IPSS, the International Consultation on Incontinence Questionnaire for Urinary Incontinence Short Form, and the Lower Urinary Tract Symptoms Outcome Score will be evaluated for effectiveness assessment. Adverse events will be reported after every session. The Blinding Index will also be calculated. Data will be statistically analyzed with 0.05 significance levels by 2-sided testing.
Keyphrases
- urinary incontinence
- study protocol
- double blind
- placebo controlled
- open label
- randomized controlled trial
- end stage renal disease
- clinical trial
- phase iii
- newly diagnosed
- ejection fraction
- phase ii
- prostate cancer
- chronic kidney disease
- systematic review
- prognostic factors
- atrial fibrillation
- neuropathic pain
- lower urinary tract symptoms
- healthcare
- spinal cord injury
- cerebral ischemia
- young adults
- patient reported
- palliative care
- machine learning
- cross sectional
- artificial intelligence
- big data
- working memory
- data analysis