Epidemiology & Health Data Insights (ISSN 3080-8111) is an international, open-access, peer-reviewed journal that advances epidemiology by integrating health data science. It fosters multidisciplinary collaboration to address global health challenges through evidence-based research, promoting equity and guiding healthcare policy. The journal covers a wide range of topics including disease surveillance, predictive modeling, public health interventions, and big data applications, with an editorial team of experts in epidemiology, biostatistics, and public health.
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CURRENT ISSUE
Volume 2, Issue 2, 2026
(Ongoing)
Materials and Methods: A retrospective study utilized data from the Unified National Electronic Health System on thyroid cancer patients in Kazakhstan from 2014 to 2021. A descriptive analysis of patients was performed based on key demographic factors. Survival analysis was conducted using the Kaplan-Meier estimator and Cox proportional hazards regression.
Results: In total, 4,877 cases of thyroid cancer have been included during the period from 2014 to 2021 in Kazakhstan. Most of the diagnosed patients throughout the given period were females. The highest incidence and prevalence rates were found in the age group of 51-70 years old, while the highest mortality rate was among patients older than 70 years. Increasing age and male sex were the major predictors of mortality among thyroid cancer patients.
Conclusion: The obtained data coaligned with global data on thyroid cancer. Increased age, male sex, and living area were associated with poor prognosis. The study was limited by missing information on comorbidities and treatment types that the patients could have received. Therefore, further research is needed to assess the impact of such significant factors on survival.