卵巢癌条件相对生存率:韩国国家癌症登记研究(表格4)

基于韩国国家癌症登记处1997-2016年卵巢癌患者数据,提供按多种因素分层的条件相对生存率表格。

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表格ovarian cancerrelative survivalconditional survivalKoreacohort study
Table_4_Conditional Relative Survival of Ovarian Cancer: A Korean National Cancer Registry Study.docx

基本信息

模态
表格
大小
0.000677278 GB
许可
CC BY 4.0
创建/更新时间
2026-10-08
版本
v1

资源简介

卵巢癌条件相对生存率:韩国国家癌症登记研究(表格4)

【一句话概览】

本数据集是 figshare 公开的结构化表格数据集,收录 1 个文件、合计 677.28 KB,主题涵盖 ovarian cancer、relative survival、conditional survival、Korea、cohort study,可用于统计建模、特征工程与队列分析,CC BY 4.0 许可开放获取。

【数据集背景】

本数据集源站标题为《Table_4_Conditional Relative Survival of Ovarian Cancer: A Korean National Cancer Registry Study.docx》。配套论文《Changes in ovarian cancer survival during the 20 years before the era of targeted therapy》发表于 BMC Cancer(2018),DOI:10.1186/s12885-018-4498-z。源站首次发布:2021-04-28。

【数据内容】

源站原始描述:ObjectiveConditional relative survival (CRS) rates, which take into account changes in prognosis over time, are useful estimates for survivors and their clinicians as they make medical and personal decisions. We aimed to present the 5-year relative conditional survival probabilities of patients diagnosed with ovarian cancer from 1997–2016. MethodsThis nationwide retrospective cohort study used data from the Korean Central Cancer Registry. Patients diagnosed with ovarian cancer between 1997 and 2…

中文译文(机器翻译,仅供快速理解,请以原文为准):目的:条件相对生存率考虑了预后随时间的变化,对于幸存者及其临床医生做出医疗和个人决策是具有价值的估计指标。我们旨在呈现1997—2016年确诊卵巢癌患者的5年相对条件生存概率。 方法:这项全国性回顾性队列研究使用了韩国中央癌症登记处的数据。纳入1997年至2016年间确诊卵巢癌的患者。条件相对生存率按确诊年龄、癌症分期、组织学类型、接受的治疗、确诊年份和社会剥夺指数进行分层计算。 结果:所有病例确诊时的5年相对生存率为61.1%。在已存活1年、2年、3年、4年和5年的条件下,再存活5年的概率分别为65.0%、69.5%、74.6%、79.3%和83.9%。初始生存估计较差的患者(年龄较大、远处转移期、浆液性组织学类型)通常表现出条件相对生存率随时间增加幅度最大。确诊后第一年的死亡概率最高(11.8%),第2年、第3年、第4年和第5年的条件死亡概率分别降至9.4%、7.9%、6.1%和5.2%。 结论:卵巢癌患者每存活一年,其条件相对生存率均有所提高,但即使在确诊5年后也未达到“无超额死亡”的水平。条件相对生存率改善幅度最大的是初始预后较差的患者。我们的研究结果为卵巢癌幸存者和临床医生提供了更新的预后信息。

【数据结构与技术规格】

文件数 1 个,合计 677.28 KB。Table_4_Conditional Relative Survival of Ovarian Cancer: A Korean National Cancer Registry Study.docx:application/vnd.openxmlformats-officedocument.wordprocessingml.document,677.28 KB。数据集 DOI:10.3389/fonc.2021.639839.s005。

【主题与分类】

源站学科分类:Cancer、Haematological Tumours、Radiation Therapy、Solid Tumours、Oncology and Carcinogenesis not elsewhere classified、Molecular Targets。主题标签:ovarian cancer、relative survival、conditional survival、Korea、cohort study。

【适用方向】

结构化表格数据可直接用于统计建模、特征工程与队列分析。

【获取与许可】

源站页面:https://frontiersin.figshare.com/articles/dataset/Table_4_Conditional_Relative_Survival_of_Ovarian_Cancer_A_Korean_National_Cancer_Registry_Study_docx/14499645

使用许可:CC BY 4.0(https://creativecommons.org/licenses/by/4.0/)。

规范引用:Shin, Dong Wook; Bae, Jaeman; Ha, Johyun; Jung, Kyu-Won (2021). Table_4_Conditional Relative Survival of Ovarian Cancer: A Korean National Cancer Registry Study.docx. Frontiers. Dataset

【使用注意】

· 源站最后修改于 2023-06-05,引用时请注意版本时效。

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下载信息

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需要注册 Kaggle 账号并登录后下载,适合需要跟踪下载记录和使用 API 的用户。

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当前数据集主要来源为 Kaggle 公开托管,完整影像包建议通过原始链接或 Kaggle API 获取。

使用方式

数据集获取(Figshare)

命令行下载

curl -L -o "Table_4_Conditional Relative Survival of Ovarian Cancer: A Korean National Cancer Registry Study.docx" "https://ndownloader.figshare.com/files/27773748"

文件清单

  • Table_4_Conditional Relative Survival of Ovarian Cancer: A Korean National Cancer Registry Study.docx(677.28 KB)

文件总体积 677.28 KB(源站 API 实测)。

数据加载示例(图像类)

from PIL import Image
import glob, os

files = (glob.glob(os.path.join(path, "**", "*.png"), recursive=True)
       + glob.glob(os.path.join(path, "**", "*.jpg"), recursive=True)
       + glob.glob(os.path.join(path, "**", "*.tif"), recursive=True))
print("图像文件数:", len(files))
img = Image.open(files[0]); print("尺寸/模式:", img.size, img.mode)

# torchvision Dataset 方式:
# from torchvision import datasets
# ds = datasets.ImageFolder(path)  # 要求 子目录=类别

目录组织与标注格式以源站说明和下载后实际文件为准。

数据说明

ObjectiveConditional relative survival (CRS) rates, which take into account changes in prognosis over time, are useful estimates for survivors and their clinicians as they make medical and personal decisions. We aimed to present the 5-year relative conditional survival probabilities of patients diagnosed with ovarian cancer from 1997–2016.
MethodsThis nationwide retrospective cohort study used data from the Korean Central Cancer Registry. Patients diagnosed with ovarian cancer between 1997 and 2016 were included. CRS rates were calculated stratified by age at diagnosis, cancer stage, histology, treatment received, year of diagnosis, and social deprivation index.
ResultsThe 5-year relative survival rate at the time of diagnosis was 61.1% for all cases. The probability of surviving an additional 5 years, conditioned on having already survived 1, 2, 3, 4, and 5 years after diagnosis was 65.0, 69.5, 74.6, 79.3, and 83.9%, respectively. Patients with poorer initial survival estimates (older, distant stage, serous histology) generally showed the largest increases in CRS over time. The probability of death was highest in the first year after diagnosis (11.8%), and the conditional probability of death in the 2nd, 3rd, 4th, and 5th years declined to 9.4%, 7.9%, 6.1%, and 5.2%, respectively.
ConclusionCRS rates for patients with ovarian cancer increased with each year they survived, but this did not reach the level of ‘no excess mortality’ even 5 years after diagnosis. The largest improvements in CRS were observed in patients with poorer initial prognoses. Our findings provide updated prognosis to ovarian cancer survivors and clinicians.

许可

CC BY 4.0

引用

学术使用请引用 DOI 10.3389/fonc.2021.639839.s005(source: https://frontiersin.figshare.com/articles/dataset/Table_4_Conditional_Relative_Survival_of_Ovarian_Cancer_A_Korean_National_Cancer_Registry_Study_docx/14499645)。

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