Tariq Daaniya, Kafali Onuralp, Cabrera Macias Jorge, Karnan Nithin, Kim Min Ji
Department of Internal Medicine, Shaheed Suhrawardy Medical College and Hospital, Dhaka, BGD.
Department of Internal Medicine, Duzce University Medical School, Duzce, TUR.
Cureus. 2025 May 17;17(5):e84305. doi: 10.7759/cureus.84305. eCollection 2025 May.
Thyroid cancer is a growing concern in public health and has noticeable disparities in incidence among demographic subgroups and regions. This study analyzed the incidence of thyroid cancer from 1999 to 2020 using the Centers for Disease Control and Prevention Wide-ranging Online Data for Epidemiologic Research (CDC-WONDER) database, focusing on age, race, and gender. Additionally, the study sought to identify geographical disparities in thyroid cancer incidence and understand temporal trends over the study period.
The study extracted thyroid cancer incidences from the CDC-WONDER database from 1999 to 2020 by age, race, and gender demographics. Crude incidence rates were calculated based on a 100,000 population, and temporal trends were identified to peak incidence periods, using Excel (Microsoft Corporation, Redmond, WA) and RStudio version 4.3.1 (Posit Software, Boston, MA).
The data included a total population of 6,722,531,004, with 837,105 (0.0124%) diagnosed cases of thyroid cancer between 1999 and 2020. The crude rate was highest in the 65-74-year age group with a rate of 22.5 per 100,000, in females at 18.4 per 100,000, and in the White race with a rate of 13.2 per 100,000, while California had the highest statewise distribution, exceeding 75,000 per 100,000 population. From temporal trends, there is a general increasing trend in the incidence of thyroid cancer, with the crude incidence rate for the period under study amounting to 12.5 per 100,000 population, and a peak observed in 2015.
The findings point to significant demographic and geographic disparities in the incidence of thyroid cancer across the United States. Such an insight should be crucial for designing directed public health interventions and well-conceived screening protocols for high-risk subgroups. Geographic disparities further aid in resource mobilization and health service planning. This study emphasizes the importance of good cancer surveillance and continuous monitoring of public health strategies, which would provide early detection to attain better patient outcomes.
甲状腺癌日益引起公众健康关注，在不同人口亚组和地区的发病率存在显著差异。本研究利用美国疾病控制与预防中心的广泛在线流行病学研究数据（CDC-WONDER）数据库分析了1999年至2020年甲状腺癌的发病率，重点关注年龄、种族和性别。此外，该研究旨在确定甲状腺癌发病率的地理差异，并了解研究期间的时间趋势。
该研究按年龄、种族和性别特征从CDC-WONDER数据库中提取了1999年至2020年的甲状腺癌发病率。基于每10万人口计算粗发病率，并使用Excel（微软公司，华盛顿州雷德蒙德）和RStudio 4.3.1版本（Posit软件公司，马萨诸塞州波士顿）确定发病率高峰期的时间趋势。
数据涵盖总人口6,722,531,004，1999年至2020年期间有837,105例（0.0124%）甲状腺癌确诊病例。粗发病率在65 - 74岁年龄组最高，为每10万人22.5例；女性为每10万人18.4例；白人种族为每10万人13.2例，而加利福尼亚州的全州分布率最高，超过每10万人口75,000例。从时间趋势来看，甲状腺癌发病率总体呈上升趋势，研究期间的粗发病率为每10万人口12.5例，2015年出现峰值。
研究结果表明美国甲状腺癌发病率在人口统计学和地理方面存在显著差异。这种认识对于为高危亚组设计有针对性的公共卫生干预措施和精心制定筛查方案至关重要。地理差异有助于进一步调动资源和进行卫生服务规划。本研究强调了良好的癌症监测以及持续监测公共卫生策略的重要性，这将实现早期发现以取得更好的患者治疗效果。
