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 物理 光学
作者
Hongwei Zhao,Yu Zhang,Qianyong Zhu
出处
期刊:Postgraduate Medical Journal [Oxford University Press]
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
Ariel完成签到 ,获得积分10
2秒前
mark完成签到,获得积分10
4秒前
yihahaha完成签到,获得积分20
4秒前
warte发布了新的文献求助10
5秒前
Knowledge发布了新的文献求助10
5秒前
ffff应助生动丑采纳,获得10
6秒前
lxaiczn发布了新的文献求助10
7秒前
殷勤的可兰完成签到,获得积分10
7秒前
8秒前
冷酷飞荷发布了新的文献求助10
8秒前
傑丨楽完成签到,获得积分10
9秒前
10秒前
SciGPT应助zeliansiji-采纳,获得10
10秒前
11秒前
11秒前
11秒前
柔弱的幼翠完成签到 ,获得积分10
12秒前
kitsuki发布了新的文献求助10
12秒前
李健应助缓慢玉米采纳,获得30
12秒前
慕青应助西啃采纳,获得10
13秒前
momo完成签到,获得积分20
14秒前
15秒前
理躺丁真完成签到,获得积分10
15秒前
16秒前
友好白凡发布了新的文献求助10
16秒前
Lchemistry发布了新的文献求助10
17秒前
zzzzz完成签到,获得积分10
17秒前
老迟到的念文完成签到,获得积分10
17秒前
18秒前
1233456完成签到,获得积分20
18秒前
yiyi完成签到,获得积分10
18秒前
悠南完成签到 ,获得积分10
18秒前
希望天下0贩的0应助dongtan采纳,获得10
18秒前
19秒前
梦玲发布了新的文献求助10
19秒前
Candy发布了新的文献求助10
19秒前
Luke发布了新的文献求助10
20秒前
20秒前
20秒前
淡淡海蓝发布了新的文献求助10
22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
Lewis’s Child and Adolescent Psychiatry: A Comprehensive Textbook Sixth Edition 2000
Wolffs Headache and Other Head Pain 9th Edition 1000
Continuing Syntax 1000
Encyclopedia of Quaternary Science Reference Work • Third edition • 2025 800
Signals, Systems, and Signal Processing 510
荧光膀胱镜诊治膀胱癌 500
热门求助领域 (近24小时)
化学 材料科学 医学 生物 纳米技术 工程类 有机化学 化学工程 生物化学 计算机科学 物理 内科学 复合材料 催化作用 物理化学 光电子学 电极 细胞生物学 基因 无机化学
热门帖子
关注 科研通微信公众号,转发送积分 6221320
求助须知:如何正确求助?哪些是违规求助? 8046326
关于积分的说明 16774182
捐赠科研通 5306753
什么是DOI,文献DOI怎么找? 2827000
邀请新用户注册赠送积分活动 1805188
关于科研通互助平台的介绍 1664589