2000年至2018年德克萨斯州黑色素瘤发病率的人口统计学、地理和时间模式:回顾性研究

IF 2.7 Q2 ONCOLOGY
JMIR Cancer Pub Date : 2025-05-02 DOI:10.2196/67902
Kehe Zhang, Madison M Taylor, Jocelyn Hunyadi, Hung Q Doan, Adewole S Adamson, Paige Miller, Kelly C Nelson, Cici Bauer
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引用次数: 0

摘要

背景:黑色素瘤目前被列为第五大癌症诊断,预计到2040年将成为美国第二大常见癌症。早期发现的黑色素瘤可以采用风险更低、成本更低的治疗方案进行治疗。目的:本研究旨在分析2000年至2018年德克萨斯州按诊断阶段(总体、早期和晚期)黑色素瘤发病率的时空趋势,重点分析人口统计学和地理变化,以确定高危人群和地区,从而开展有针对性的预防工作。方法:我们使用德克萨斯州癌症登记处(TCR) 2000年至2018年所有254个德克萨斯州县的黑色素瘤发病率数据,按县和年份汇总。其中,250个县在此期间报告了黑色素瘤病例。某年未报告病例的县按无病例处理。黑色素瘤病例按SEER总结分期进行分类,并按以下四个关键协变量进行分层:年龄、性别、种族和民族以及诊断时的分期。计算每10万人口的发病率(IRs),并使用连接点回归分析时间趋势,以确定整个时间段(2000-2018年)、最近10年(2009-2018年)和最近5年(2014-2018年)95% ci的年均百分比变化(AAPCs)。热图可视化是用来评估患者年龄、诊断年份、诊断阶段、性别、种族和民族的时间趋势。采用Getis-Ord Gi*统计进行空间聚类分析,按诊断分期确定黑色素瘤高、低发病率的县级地理聚类。结果:共记录黑色素瘤病例82462例,其中早期74.7% (n= 61588),晚期11.3% (n= 9352),分期不详14% (n= 11522)。大多数病例被确定为男性和非西班牙裔白人。从2000年到2018年,黑色素瘤ir有所增加,尤其是在老年人(60岁以上;AAPC范围1.20% ~ 1.84%;结论:在研究期间,德克萨斯州的黑色素瘤发病率增加,高危人群是非西班牙裔白人、男性和50岁及以上的个体。种族和少数民族人群和农村人群中晚期黑色素瘤的稳定发病率突出了在获得诊断护理方面的潜在差异。未来的预防工作可能会受益于在诊断为晚期黑色素瘤的较高比率的地区增加获得皮肤科护理的机会。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Examining Demographic, Geographic, and Temporal Patterns of Melanoma Incidence in Texas From 2000 to 2018: Retrospective Study.

Examining Demographic, Geographic, and Temporal Patterns of Melanoma Incidence in Texas From 2000 to 2018: Retrospective Study.

Examining Demographic, Geographic, and Temporal Patterns of Melanoma Incidence in Texas From 2000 to 2018: Retrospective Study.

Examining Demographic, Geographic, and Temporal Patterns of Melanoma Incidence in Texas From 2000 to 2018: Retrospective Study.

Background: Melanoma currently ranks as the fifth leading cancer diagnosis and is projected to become the second most common cancer in the United States by 2040. Melanoma detected at earlier stages may be treated with less-risky and less-costly therapeutic options.

Objective: This study aims to analyze temporal and spatial trends in melanoma incidence by stage at diagnosis (overall, early, and late) in Texas from 2000 to 2018, focusing on demographic and geographic variations to identify high-risk populations and regions for targeted prevention efforts.

Methods: We used melanoma incidence data from all 254 Texas counties from the Texas Cancer Registry (TCR) from 2000 to 2018, aggregated by county and year. Among these, 250 counties reported melanoma cases during the period. Counties with no cases reported in a certain year were treated as having no cases. Melanoma cases were classified by SEER Summary Stage and stratified by the following four key covariates: age, sex, race and ethnicity, and stage at diagnosis. Incidence rates (IRs) were calculated per 100,000 population, and temporal trends were analyzed using joinpoint regression to determine average annual percentage changes (AAPCs) with 95% CIs for the whole time period (2000-2018), the most recent 10-year period (2009-2018), and the most recent 5-year period (2014-2018). Heat map visualizations were developed to assess temporal trends by patient age, year of diagnosis, stage at diagnosis, sex, and race and ethnicity. Spatial cluster analysis was conducted using Getis-Ord Gi* statistics to identify county-level geographic clusters of high and low melanoma incidence by stage at diagnosis.

Results: A total of 82,462 melanoma cases were recorded, of which 74.7% (n=61,588) were early stage, 11.3% (n=9,352) were late stage, and 14% (n=11,522) were of unknown stage. Most cases were identified as males and non-Hispanic White individuals. Melanoma IRs increased from 2000 to 2018, particularly among older adults (60+ years; AAPC range 1.20%-1.84%; all P values were <.001), males (AAPC 1.59%; P<.001), and non-Hispanic White individuals (AAPC of 3.24% for early stage and 2.38% for late stage; P<.001 for early stage and P = .03 for late state). Early-stage diagnoses increased while the rates of late-stage diagnoses remained stable for the overall population. The spatial analysis showed that urban areas had higher early-stage incidence rates (P=.06), whereas rural areas showed higher late-stage incidence rates (P=.05), indicating possible geographic-based differences in access to dermatologic care.

Conclusions: Melanoma incidence in Texas increased over the study time period, with the most-at-risk populations being non-Hispanic White individuals, males, and individuals aged 50 years and older. The stable rates of late-stage melanoma among racial and ethnic minority populations and rural populations highlight potential differences in access to diagnostic care. Future prevention efforts may benefit from increasing access to dermatologic care in areas with higher rates of late-stage melanoma at diagnosis.

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来源期刊
JMIR Cancer
JMIR Cancer ONCOLOGY-
CiteScore
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64
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