Trends and Disparities in Mortality from Malignant Parotid Gland Tumors in the United States, 1999-2023: A Population-Based Analysis.

IF 2.1 Q2 MATHEMATICAL & COMPUTATIONAL BIOLOGY
Cancer Informatics Pub Date : 2026-07-20 eCollection Date: 2026-01-01 DOI:10.1177/11769351261471527
Qianqian Xu, Sunjun Li, Fangyuan Liao, Donghao Lou, Tongbin Zhang
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Abstract

Introduction: Malignant parotid gland tumors account for less than 1% of all cancers yet represent a substantial proportion of head and neck malignancies. Long-term mortality trends and demographic disparities remain poorly defined. This study examined mortality trends and disparities across demographic and geographic subgroups in the United States.

Methods: This repeated cross-sectional study analyzed CDC WONDER death certificate data for malignant parotid gland tumors (ICD-10-CM C07) from 1999 to 2023. AAMRs were calculated using the 2000 US standard population. Joinpoint regression estimated APCs and AAPCs with 95% CIs. Mortality was stratified by age, sex, race/ethnicity, and geography.

Results: During the study period, 15,133 deaths from malignant parotid gland tumors were recorded. Annual deaths increased from 491 in 1999 to 696 in 2023, but the overall AAMR remained stable (AAPC = -0.09, 95% CI, -0.43 to 0.25). Declines were observed among females, males, adults aged 45 to 74 years, the Northeast region, Florida, and New York. Mortality increased among adults aged 85 years or older (AAPC = 1.22, 95% CI, 0.67 to 1.77). Trends for NH White and NH Black populations were stable; smaller race/ethnicity groups had limited or unstable estimates.

Conclusion: Overall mortality from malignant parotid gland tumors remained stable from 1999 to 2023. This stable national pattern masked declines in selected strata and increasing mortality among adults aged 85 years or older. Because CDC WONDER lacks clinical, treatment, socioeconomic, and tumor-specific variables, these findings should be interpreted as descriptive mortality patterns rather than causal evidence.

1999-2023年美国恶性腮腺肿瘤死亡率的趋势和差异:基于人群的分析
简介:恶性腮腺肿瘤占所有癌症的不到1%,但在头颈部恶性肿瘤中占相当大的比例。长期死亡率趋势和人口差异仍然不明确。这项研究调查了美国人口和地理亚组的死亡率趋势和差异。方法:本重复横断面研究分析1999年至2023年恶性腮腺肿瘤(ICD-10-CM C07)的CDC WONDER死亡证明数据。aamr是根据2000年美国标准人口计算的。联合点回归估计APCs和AAPCs的ci值为95%。死亡率按年龄、性别、种族/民族和地理位置分层。结果:在研究期间,记录了15133例恶性腮腺肿瘤死亡病例。年死亡人数从1999年的491人增加到2023年的696人,但总体AAMR保持稳定(AAPC = -0.09, 95% CI, -0.43至0.25)。在女性、男性、45岁至74岁的成年人、东北地区、佛罗里达和纽约,都观察到这种下降。85岁及以上的成人死亡率增加(AAPC = 1.22, 95% CI, 0.67 ~ 1.77)。NH白人和NH黑人人口趋势稳定;较小的种族/族裔群体的估计有限或不稳定。结论:从1999年到2023年,恶性腮腺肿瘤的总死亡率保持稳定。这种稳定的全国模式掩盖了某些阶层的下降和85岁或以上成年人死亡率的上升。由于CDC WONDER缺乏临床、治疗、社会经济和肿瘤特异性变量,这些发现应被解释为描述性死亡模式,而不是因果证据。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Cancer Informatics
Cancer Informatics Medicine-Oncology
CiteScore
3.00
自引率
5.00%
发文量
30
审稿时长
8 weeks
期刊介绍: The field of cancer research relies on advances in many other disciplines, including omics technology, mass spectrometry, radio imaging, computer science, and biostatistics. Cancer Informatics provides open access to peer-reviewed high-quality manuscripts reporting bioinformatics analysis of molecular genetics and/or clinical data pertaining to cancer, emphasizing the use of machine learning, artificial intelligence, statistical algorithms, advanced imaging techniques, data visualization, and high-throughput technologies. As the leading journal dedicated exclusively to the report of the use of computational methods in cancer research and practice, Cancer Informatics leverages methodological improvements in systems biology, genomics, proteomics, metabolomics, and molecular biochemistry into the fields of cancer detection, treatment, classification, risk-prediction, prevention, outcome, and modeling.
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