1972—2021年江苏省启东市骨恶性肿瘤发病趋势及年龄-时期-队列分析
Incidence Trend and Age-Period-Cohort Analysis of Bone Malignant Tumors in Qidong City of Jiangsu Province from 1972 to 2021
投稿时间:2025-08-01  修订日期:2025-11-18
DOI:
中文关键词:  骨恶性肿瘤  发病率  趋势  年龄-时期-队列模型  启东
英文关键词:Bone malignant tumors  incidence  trend  age-period-cohort model  Qidong
基金项目:南通市“十四五”科教强卫工程(通卫科技〔2021〕15号);南通市卫生健康委员会科研项目(MS2023121,MSZ2023109);南通大学临床医学专项科研基金项目(2024JY050)
作者单位邮编
严永锋 启东市人民医院 226200
丁璐璐 启东市人民医院 226200
王军 启东市人民医院 226200
陈永胜 启东市人民医院 226200
张永辉 启东市人民医院 226200
徐源佑 启东市人民医院 226200
蔡春岳 启东市人民医院 226200
朱健* 启东市人民医院 226200
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中文摘要:
      [目的] 分析1972—2021年江苏省启东市骨恶性肿瘤发病趋势,为精准防控提供依据。[方法] 收集整理江苏省启东市癌症登记数据库中1972—2021年骨恶性肿瘤发病资料,分析计算粗发病率、中国人口标化发病率(中标率)、世界人口标化发病率(世标率)、35~64岁截缩率、0~74 岁累积发病率、累积发病风险等指标。通过Joinpoint回归模型分析发病率的平均年度变化百分比(average annual percentage change,AAPC)。采用年龄-时期-队列模型(age-period-cohort model,APC)分析年龄、时期、队列因素对启东市骨恶性肿瘤发病的影响。[结果] 1972—2021年启东市共报告骨恶性肿瘤发病数779例,占同时期恶性肿瘤发病总数的0.53%,粗发病率、中标率、世标率分别为1.39/10万、1.06/10万及1.04/10万,35~64岁截缩率为1.48/10万,0~74岁累积发病率为0.11%,骨恶性肿瘤的累积发病风险为0.11%。男性发病452例,粗发病率、中标率及世标率分别为1.63/10万、1.29/10万和1.26/10万;女性发病327例,粗发病率、中标率及世标率分别为1.15/10万、0.85/10万和0.83/10万。50年间男女合计、女性的粗发病率的AAPC值分别为1.23%、1.56%(均P<0.05),上升趋势有统计学意义。年龄组发病率出现两个峰值,低年龄组以10~19岁组最高为0.63/10万、高年龄组以70~79岁组最高为4.86/10万,时间趋势分析显示10~19岁年龄组发病率呈上升趋势(AAPC值为3.10%)、而60~69岁年龄组呈下降趋势(AAPC值为-1.77%)(均P<0.05)。出生队列分析显示40岁以上年龄组发病率随出生时期后移呈先升后降趋势,而10~29岁年龄组在最后一时期的发病率达到了峰值。APC模型分析显示发病率净漂移值为0.00%(男性-0.71%,女性0.58%)(均P>0.05),10~19岁年龄组的男女合计、男性的局部漂移值分别为2.68%(95%CI:0.79%~4.61%)、2.63%(95%CI:0.71%~4.60%),上升趋势明显。纵向年龄曲线显示发病风险在10-19岁及70~79岁为两个峰值,分别为0.68/10万和4.41/10万。时期效应显示1972-1981年率比(rate ratio,RR)值(0.71,95%CI:0.51~0.98)、2012—2021年的RR值(0.72,95%CI:0.55~0.95)均低于参照期1992-2001年RR值(1.00),呈现先升后降趋势。队列效应以1952—1961年出生组为对照, RR值波动变化,2002—2011年出生队列组发病风险RR值最高为2.32(95%CI:0.96~5.58)(P>0.05)。Wald c2检验结果显示,启东市骨恶性肿瘤发病率的总年龄偏差和总时期偏差均存在统计学意义(均P<0.05)。[结论] 1972—2021年启东市全人群骨恶性肿瘤标化后发病率稳定但粗发病率呈上升趋势,10~19岁年龄组人群发病率的上升趋势值得重点关注。骨恶性肿瘤发病风险随年龄变化明显,时期存在波动,出生队列和整体长期趋势的影响较弱。需针对高风险人群制定精准防控策略,加强骨恶性肿瘤的防治研究。
英文摘要:
      [Purpose] To analyze the incidence trend of bone malignant tumors in Qidong City of Jiangsu Province from 1972 to 2021, so as to provide a basis for precise prevention and control. [Methods] Based on the cancer registration case database of Qidong City, the incidence registration data of bone malignant tumors from 1972 to 2021 were collected, and the crude rate (CR), age-standardized incidence rates by Chinese standard population (ASRC), age-standardized incidence rates by world standard population (ASRW), truncated rates for 35~64 years old, the cumulative rates for 0~74 years old and the cumulative risk were analyzed and calculated. The average annual percentage change (AAPC) of the incidence rate was analyzed using the Joinpoint regression model. The age-period-cohort (APC) model was used to analyze the effects of age, period, and cohort factors on the incidence of bone malignant tumors in Qidong City. [Results] A total of 779 cases of bone malignant tumors were reported in Qidong City from 1972 to 2021, accounting for 0.53% of the total number of malignant tumor cases during the same period.?The CR, ASRC, ASRW were 1.39/105, 1.06/105 and 1.04/105 respectively. The truncated rates for 35~64 years old was 1.48/105, the cumulative incidence rates for 0~74 years old was 0.11%, and the cumulative incidence risk was 0.11%. There were 452 male cases, the CR, ASRC, ASRW were 1.63/105, 1.29/105 and 1.26/105, respectively. There were 327 female cases, the CR, ASRC, ASRW were 1.15/105, 0.85/105 and 0.83/105, respectively. Over the 50 years, the average AAPC values of the CR for the total population (both males and females combined) and females were 1.23% and 1.56% respectively (both P < 0.05), indicating that the upward trends were statistically significant. There are two peaks in the incidence rate by age group: the highest incidence in the low-age group is 0.63/105 for the 10~19 years old, and the highest in the high-age group is 4.86/105 for the 70~79 years old. Time trend analysis shows that the incidence rate in the age group of 10~19 years old is on the rise (AAPC = 3.10%), while that in the age group of 60~69 years old is on the decline (AAPC = -1.77%) (both P < 0.05). Birth cohort analysis showed that the incidence rate of the age group over 40 years old first increased and then decreased with the delay of birth periods, while the incidence rate of the age group of 10~29 years old reached a peak in the last period. The APC model analysis showed that the net drift value of the incidence rate was 0.00% (-0.71% for males and 0.58% for females), and all were not statistically significant (all P > 0.05). For the age group of 10~19 years old, the local drift values of the total population (both males and females) and males were 2.68% (95%CI: 0.79%~4.61%) and 2.63% (95%CI: 0.71%~4.60%) respectively, indicating a significant upward trend. The longitudinal age curve shows that the incidence risk has two peaks in the age group of 10~19 years old and 70~79 years old, which were 0.68/105 and 4.41/105 respectively. The period effect showed that the rate ratio (RR) values for the periods of 1972—1981 (0.71, 95%CI: 0.51~0.98) and 2012—2021 (0.72, 95%CI: 0.55~0.95) were both lower than the RR value of the reference period 1992—2001 (1.00), presenting a trend of first increasing and then decreasing. Taking the birth cohort of 1952—1961 as the reference, the RR values fluctuated, the birth cohort of 2002—2011 had the highest incidence risk with an RR value of 2.32 (95%CI: 0.96~5.58), but the difference was not statistically significant (P>0.05). The results of the Wald chi-square test showed that both the all age deviations and all period deviations in the incidence rate of bone malignant tumors in Qidong City were statistically significant (both P<0.05). [Conclusion] From 1972 to 2021, the age-standardized incidence rate of bone malignant tumors in the total population of Qidong City remained stable, while the crude incidence rate showed an upward trend. The rising trend of the incidence rate in the age group of 10~19 years old deserves special attention. The risk of bone malignant tumors varies significantly with age, showing fluctuations across different periods, while the impact of birth cohorts and the overall long-term trend is relatively weak. Precise prevention and control strategies should be formulated for high-risk groups, and research on the prevention and treatment of bone malignant tumors should be strengthened.
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