Evidence Hub

Real-World Clinical Practices for Premature Ejaculation: A National Survey of Chinese Physicians

Zhu Jun, Gang Ma, Tianbiao Zhang, Xianming Tan, Changwei Yuan, Yuan Tang, Wanshou Cui, Weidong Song et al.

Andrology, 2026

2 citations

Abstract

BACKGROUND: Premature ejaculation is a prevalent male sexual dysfunction, yet real-world clinical practices in China remain poorly characterized.

OBJECTIVES: To evaluate current premature ejaculation management practices among Chinese physicians.

MATERIALS AND METHODS: A nationwide cross-sectional survey of 1000 physicians was conducted using a structured, self-administered questionnaire exploring diagnostic practices, treatment modalities, and perceived therapeutic effectiveness. Associations between physician characteristics and treatment choices were analyzed using chi-square tests.

RESULTS: Diagnostic reliance on clinical history (67.4%) exceeded that on standardized tools (32.6%). Around 46.5% of physicians reported treating intravaginal ejaculation latency time 10 min with distress. Oral dapoxetine (59.7%) and psychotherapy (92.1%) were preferred first-line therapies, followed by long-acting selective serotonin reuptake inhibitors (13.7%). Prescriptions for long-acting selective serotonin reuptake inhibitors were primarily driven by guideline adherence (25.95%), anxiety/depression comorbidity (17.56%), dapoxetine inefficacy (6.11%), and clinician experience (6.11%). Combination therapy was common (52.1%), whereas surgical interventions remained rare (14.7%) but more prevalent among andrologists than among non-andrologists (p < 0.001). Compared with non-andrologists, andrologists demonstrated greater use of behavioral therapy (p = 0.001) and topical agents (p = 0.006)…

How strong is the evidence?

Evidence Hub reads this as a cross-sectional, done in people. Its evidence level is 4 of 5 (Low · observational). Observational designs can show an association but not prove cause.

How the five levels of evidence work. The level is assigned automatically from the abstract and can be wrong, so check the paper.

Read the paper

Related studies

Go deeper in Evidence Hub

Evidence Hub adds a study data sheet (design, sample size, evidence level, key numbers), an AI summary and a chat grounded in the paper's text.

Open this study Sign up free