Long-term trends analysis of the incidence and mortality in patients with ovarian cancer: a large sample study based on SEER database

医学 入射(几何) 流行病学 卵巢癌 置信区间 比例危险模型 内科学 癌症 肿瘤科 癌肉瘤 危险系数 生存分析 妇科 光学 物理
作者
Hongwei Zhao,Yu Zhang,Qianyong Zhu
出处
期刊:Postgraduate Medical Journal [BMJ]
标识
DOI:10.1093/postmj/qgae143
摘要

Abstract Background To analyze long-term trends of the incidence and mortality of ovarian cancer in the United States. Methods Patients diagnosed with ovarian cancer were obtained from the Surveillance, Epidemiology, and End Results (SEER) database between 2000 and 2017. Joinpoint regression analysis was used to analyze the incidence and mortality trend, and the changes were reported as average annual percentage change (AAPC) with a 95% confidence interval (CI). Kaplan–Meier survival curve and Cox regression analyses were utilized for survival analysis. Results A total of 74 682 patients were included, among whom 49 491 (66.27%) died and 44 487 (59.57%) died from ovarian cancer. The mean age was 61.95 ± 15.23 years. The incidence of ovarian cancer showed a decreased trend from 2000 to 2017 with an AAPC of −1.9 (95%CI: −2.0, −1.7). Both the overall mortality and cancer-specific mortality for ovarian cancer decreased from 2000 to 2017, with AAPCs of −5.0 (95%CI: −5.7, −4.2) and −4.6 (95%CI: −5.4, −3.8), respectively. There was a significant decrease in the incidence and mortality of patients with the distant SEER stage, histological subtypes of serous and malignant Brenner carcinoma, and grades II and III from 2000 to 2017. Older age, Black race, histological subtypes of carcinosarcoma, higher tumor grade, and radiotherapy were associated with poorer overall survival and cancer-specific survival, whereas higher income, histological subtype of endometrioid, and surgery were associated with better survival. Conclusion This study provided evidence of a statistically significant decrease in the incidence and mortality of ovarian cancer from 2000 to 2017. Key message What is already known on this topic? Ovarian cancer is one of the most common tumors in women, with high morbidity and mortality. However, trends in long-term morbidity and mortality of patients with ovarian cancer have not been reported. What this study adds Overall incidence and mortality for ovarian cancer showed a decreased trend from 2000 to 2017, and trends in incidence and mortality varied by stage, histological subtype, and tumor grade. Factors associated with overall survival and cancer-specific survival also differ. How this study might affect research, practice, or police This study provides evidence of long-term trends in ovarian cancer incidence and mortality from 2000 to 2017.
最长约 10秒,即可获得该文献文件

科研通智能强力驱动
Strongly Powered by AbleSci AI
科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
Heyley发布了新的文献求助10
1秒前
2秒前
小二郎应助Ancestor采纳,获得10
2秒前
星辰大海应助Zhang采纳,获得10
4秒前
熙熙完成签到,获得积分10
4秒前
QJL完成签到,获得积分20
6秒前
6秒前
狸花小喵完成签到,获得积分10
7秒前
7秒前
孤独完成签到 ,获得积分20
9秒前
打打应助hyodong采纳,获得10
9秒前
10秒前
Gavin发布了新的文献求助10
10秒前
无限的雨梅完成签到 ,获得积分10
11秒前
阿拉发布了新的文献求助10
11秒前
lololing完成签到,获得积分10
14秒前
16秒前
16秒前
Shin发布了新的文献求助10
18秒前
kekemu完成签到 ,获得积分10
18秒前
19秒前
hyodong发布了新的文献求助10
20秒前
Mika完成签到 ,获得积分10
21秒前
Lpyyy完成签到,获得积分10
23秒前
科目三应助儒雅芙蓉采纳,获得10
23秒前
家欣发布了新的文献求助10
23秒前
24秒前
热情白晴完成签到,获得积分20
24秒前
24秒前
ricardo应助xs采纳,获得10
25秒前
25秒前
27秒前
思敏完成签到,获得积分20
29秒前
29秒前
29秒前
天天快乐应助家欣采纳,获得10
30秒前
30秒前
30秒前
woshiwuziq应助pinxin采纳,获得20
32秒前
new完成签到,获得积分10
33秒前
高分求助中
(应助此贴封号)【重要!!请各用户(尤其是新用户)详细阅读】【科研通的精品贴汇总】 10000
Kinesiophobia : a new view of chronic pain behavior 2000
Research for Social Workers 1000
Mastering New Drug Applications: A Step-by-Step Guide (Mastering the FDA Approval Process Book 1) 800
The Social Psychology of Citizenship 600
Signals, Systems, and Signal Processing 510
Discrete-Time Signals and Systems 510
热门求助领域 (近24小时)
化学 材料科学 生物 医学 工程类 计算机科学 有机化学 物理 生物化学 纳米技术 复合材料 内科学 化学工程 人工智能 催化作用 遗传学 数学 基因 量子力学 物理化学
热门帖子
关注 科研通微信公众号,转发送积分 5912187
求助须知:如何正确求助?哪些是违规求助? 6831436
关于积分的说明 15785215
捐赠科研通 5037204
什么是DOI,文献DOI怎么找? 2711599
邀请新用户注册赠送积分活动 1661950
关于科研通互助平台的介绍 1603905