Incidence Rate and Determinants of Recurrent Cholesteatoma Following Surgical Management: A Systematic Review,...

Background/Objectives: Cholesteatoma is a destructive middle ear pathology that can cause chronic infection, ossicular erosion, and hearing loss. While surgical excision is the standard treatment, recurrence remains a major clinical challenge, and comprehensive data on long-term outcomes are limited. This meta-analysis evaluated cholesteatoma recurrence rates following surgery, identified clinical and surgical predictors of recurrence, and assessed trends across follow-up durations, techniques, and patient demographics. Methods: We searched PubMed, Scopus, Web of Science, CENTRAL, and Google Scholar for relevant studies (CRD42024550351). Studies reporting postoperative recurrence were included. Data on demographics, surgical approach, cholesteatoma type, and outcomes were extracted. Risk of bias was assessed using the Newcastle-Ottawa Scale. Pooled recurrence rates were calculated using random-effects models, and subgroup and meta-regression analyses were performed to identify predictors. Results: Eighty-four studies comprising 12,819 patients were included. The cholesteatoma recurrence rate showed geographic variability. Recurrence was higher in children (13%) than adults (10%), and in acquired (12%) versus congenital (7%) cholesteatoma. Advanced-stage disease, left-sided lesions, and revision surgeries increased recurrence risk. Canal wall down had lower recurrence (7%) than canal wall up techniques (16%). Adjuncts such as mastoid obliteration, ossicular reconstruction, and planned second-look surgeries reduced recurrence. Cumulative recurrence reached 39% at 15 years and 33% at 25 years. Meta-regression identified age, staged procedures, and second-look surgeries as independent predictors. Conclusions: Cholesteatoma recurrence is influenced by age, surgical approach, and disease severity. CWD procedures and comprehensive surgical planning reduce recurrence risk. Long-term follow-up and standardized outcome definitions are essential to improve monitoring and disease control.