Retrospective national registry study examines retinoblastoma outcomes in Kazakhstan, highlighting urgent need for early detection.
Background. Retinoblastoma (Rb) is a rare but aggressive pediatric eye cancer. This study aimed to examine its epidemiological characteristics, diagnostic stages, and survival factors in Kazakhstan, where national-level data have previously been limited. Methods. A retrospective national registry study was conducted using data from the Scientific Center for Pediatrics and Pediatric Surgery, the country’s referral center for retinoblastoma (2015–2024). Incidence was calculated using a birth cohort approach per 100,000 live births. Demographic and clinical characteristics, including diagnostic intervals (lag time 1: symptom onset to diagnosis; lag time 2: diagnosis to treatment initiation), were analyzed. Survival was estimated using Kaplan–Meier methods. Prognostic factors were assessed using univariate and multivariable Cox proportional hazards regression. Results. A total of 167 cases were recorded. The cumulative birth cohort incidence was 4.18 per 100,000 live births (1:23,915). Median age at diagnosis was 14 months (IQR: 6.5–27.5). Unilateral disease occurred in 78.4% of patients, and 76.9% were diagnosed at advanced stages (D or E). Extraocular involvement was observed in 9.8% of affected eyes. Hereditary retinoblastoma accounted for 6% of cases. Median lag time 1 was 60 days (IQR: 30–120), and median lag time 2 was 12 days (IQR: 7–20). Overall mortality was 11.4%, with most deaths occurring within 18 months. Older age at diagnosis (adjusted HR 1.031; 95% CI 1.008–1.054; p = 0.009) and longer lag time 2 (adjusted HR 1.006; 95% CI 1.004–1.008; p < 0.001) were independently associated with increased mortality. Conclusion. Retinoblastoma in Kazakhstan remains characterized by a high proportion of advanced-stage disease and measurable early mortality. Delays in treatment initiation and older age at diagnosis independently predict poorer survival, underscoring the need to strengthen early detection and optimize care pathways.
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Aubakirova et al. (2026) studied this question.
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