2010-2021年甘肃省肿瘤登记地区皮肤黑色素瘤发病特征及趋势预测分析
Epidemiological characteristics and future trend prediction of cutaneous melanoma in the cancer registration areas of Gansu Province from 2010 to 2021
投稿时间:2026-04-20  修订日期:2026-06-16
DOI:
中文关键词:  皮肤黑色素瘤  贝叶斯年龄‐时期‐队列  发病率  预测  甘肃省
英文关键词:Cutaneous melanoma  Bayesian age-period-cohort  Incidence  Prediction  Gansu Province
基金项目:
作者单位邮编
罗冰芝 甘肃省武威肿瘤医院-肿瘤登记随访中心 733000
叶延程 甘肃省武威肿瘤医院-肿瘤登记随访中心 733000
高彩云 甘肃省武威肿瘤医院-肿瘤登记随访中心 733000
陈雪莲 甘肃省武威肿瘤医院-肿瘤登记随访中心 733000
朱佳禾 甘肃省肿瘤医院 733000
丁高恒 甘肃省肿瘤医院 733000
刘玉琴 甘肃省肿瘤医院 733000
秦天燕* 甘肃省武威肿瘤医院 733000
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中文摘要:
      摘要 目的 分析2010-2021年甘肃省肿瘤登记地区皮肤黑色素瘤发病趋势病预测2022-2030年发病情况。方法 从中国肿瘤登记平台系统数据中筛选出甘肃省15个肿瘤登记处2010-2021年皮肤黑色素瘤的发病数据;采用Joinpoint回归模型计算平均年度变化百分比(average annual percentage change,AAPC),分析发病率趋势;采用贝叶斯年龄‐时期‐队列(Bayesian age‐period‐cohort,BAPC)模型对甘肃省中欧登记地区皮肤黑色素瘤患者发病状况进行预测。结果 2010-2021年,甘肃省肿瘤登记地区皮肤黑色素瘤的ASIRC总体呈下降趋势,由0.65/10万降至0.29/10万,平均年度变化百分比(AAPC)为-8.82%(95% CI:-13.55%~-3.85%,P=0.003)。男性和女性ASIRC均呈下降趋势,男性下降速率(AAPC=-9.59%)大于女性(AAPC=-6.74%);城镇地区ASIRC显著下降(AAPC=-12.16%),农村地区下降趋势无统计学意义(P=0.376)。2010-2021年,0~39岁年龄组皮肤黑色素瘤ASIRC呈现上升趋势(P=0.048),40~69岁年龄组和70岁及以上年龄组呈显著下降趋势(P=0.018和P=0.029)。出生队列分析显示,ASIRC随出生年代推移显著下降。BAPC模型预测结果显示,全省、男性和城镇地区的皮肤黑色素瘤ASIRC将由2021年的0.29/10万、0.28/10万和0.24/10万分别下降至2030年的0.19/10万、0.11/10万和0.03/10万,女性将由2021年的0.32/10万升至2023年的1.56/10万,农村地区203年预计升至6.32/10万,较2021年增幅显著。 结论 2010-2021年甘肃省皮肤黑色素瘤总体发病呈下降趋势,城镇地区降幅显著。预测2022-2030年全省及男性发病将继续下降,城镇地区降幅更大;但女性及农村地区发病预计呈大幅上升态势,提示该人群将成为未来皮肤黑色素瘤的主要发病群体,应纳入重点监测与早期干预对象。
英文摘要:
      Abstract Objective To analyze the incidence trend of cutaneous melanoma in the cancer registration areas of Gansu Province from 2010 to 2021 and to predict its incidence from 2022 to 2030. Methods Incidence data of cutaneous melanoma from 2010 to 2021 were extracted from 15 cancer registries in Gansu Province through the China Cancer Registry Platform System. The average annual percentage change (AAPC) was calculated using Joinpoint regression model to analyze the incidence trend. A Bayesian age-period-cohort (BAPC) model was employed to predict the incidence of cutaneous melanoma in the cancer registration areas of Gansu Province. Results From 2010 to 2021, the age-standardized incidence rate (ASIR) of cutaneous melanoma in the cancer registration areas of Gansu Province showed an overall downward trend, decreasing from 0.65/105 to 0.29/105, with an average annual percentage change (AAPC) of -8.82% (95% CI: -13.55% to -3.85%, P=0.003). Both males and females exhibited decreasing trends, with a greater decline in males (AAPC=-9.59%) than in females (AAPC=-6.74%). A significant decline was observed in urban areas (AAPC=-12.16%), whereas the downward trend in rural areas was not statistically significant (P=0.376). During 2010-2021, the ASIR of cutaneous melanoma showed an increasing trend in the 0-39 years age group (P=0.048), while significant decreasing trends were observed in the 40-69 years and ≥70 years age groups (P=0.018 and P=0.029). Birth cohort analysis indicated a significant decline in ASIR with the advancement of birth years. The BAPC model predicted that the ASIR of cutaneous melanoma for the entire province, males, and urban areas would decrease from 0.29/105, 0.28/105, and 0.24/105 in 2021 to 0.19/105, 0.11/105, and 0.03/105 in 2030, respectively. In contrast, the ASIR for females was predicted to increase from 0.32/105 in 2021 to 1.56/105 in 2030, and that for rural areas was predicted to rise substantially to 6.32/105 in 2030, indicating a marked increase compared to 2021.Conclusion The overall incidence of cutaneous melanoma in Gansu Province showed a downward trend from 2010 to 2021, with a significant decline in urban areas. The predicted trends from 2022 to 2030 suggest that the incidence will continue to decrease for the entire province and for males, with a greater decline in urban areas. However, a substantial increase is predicted for females and rural areas, indicating that these populations will become the main groups affected by cutaneous melanoma in the future and should be prioritized for surveillance and early intervention.
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