癌症筛查项目相关效用的系统综述
系统综述癌症筛查项目相关效用数据,包含筛查、诊断和治疗阶段的效用值及质量调整生命年损失。

基本信息
资源简介
癌症筛查项目相关效用的系统综述
【数据集背景】
本数据集源站标题为《Disutility associated with cancer screening programs: A systematic review》。配套论文《Disutility associated with cancer screening programs: A systematic review》发表于 PLOS ONE(2019),DOI:10.1371/journal.pone.0220148。源站首次发布:2019-07-24。
【数据内容】
源站原始描述:Objectives Disutility allows to identify how much population values intervention-related harms contributing to knowledge on the benefits/harms ratio of cancer screening programs. This systematic review evaluates disutility related to cancer screening applying a utility theory framework. Methods Using a predefined protocol, Embase, Medline Ovid, Web of Science, Cochrane, Google scholar and supplementary sources were systematically searched. The framework grouped disutilities associated with breas…
【数据结构与技术规格】
文件数 6 个,合计 2.99 MB。pone.0220148.s001.pdf:application/pdf,405.54 KB。pone.0220148.s002.pdf:application/pdf,424.54 KB。pone.0220148.s003.pdf:application/pdf,402.62 KB。数据集 DOI:10.1371/journal.pone.0220148。
【主题与分类】
源站学科分类:Medicine、Cell Biology、Biotechnology、Cancer、Science Policy、Infectious Diseases。主题标签:review Objectives Disutility、treatment phases、utility theory framework、disutilitie、Quality Adjusted Life Years loss、prostate cancer screening programs、cancer screening programs、disutility values、Conclusions Cancer screening programs、population values intervention-related。
【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://plos.figshare.com/articles/dataset/Disutility_associated_with_cancer_screening_programs_A_systematic_review/9036278
使用许可:CC BY 4.0(https://creativecommons.org/licenses/by/4.0/)。
规范引用:Li, Lin; Severens, J. L.; Mandrik, Olena (2019). Disutility associated with cancer screening programs: A systematic review. PLOS ONE. Dataset
【使用注意】
· 源站最后修改于 2023-05-31,引用时请注意版本时效。
下载信息
注册下载
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。
暂未开放公开下载
无需注册即可直接获取公开样本或文档,适合快速预览和评估数据集质量。
免登录有偿下载
公开数据集受托下载与技术交付服务。
提供高速下载与技术交付服务(收技术服务费,非数据销售)
暂未开放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)
- 源站标题:Disutility associated with cancer screening programs: A systematic review
- DOI:10.1371/journal.pone.0220148
- 发布日期:2019-07-24
- 文件数:6 个
- 文件总体积:2.99 MB
- 源站页面:https://plos.figshare.com/articles/dataset/Disutility_associated_with_cancer_screening_programs_A_systematic_review/9036278
命令行下载
curl -L -o "pone.0220148.s001.pdf" "https://ndownloader.figshare.com/files/16530368"
curl -L -o "pone.0220148.s002.pdf" "https://ndownloader.figshare.com/files/16530371"
curl -L -o "pone.0220148.s003.pdf" "https://ndownloader.figshare.com/files/16530377"
curl -L -o "pone.0220148.s004.pdf" "https://ndownloader.figshare.com/files/16530380"
curl -L -o "pone.0220148.s005.pdf" "https://ndownloader.figshare.com/files/16530383"
curl -L -o "pone.0220148.s006.pdf" "https://ndownloader.figshare.com/files/16530389"
文件清单
pone.0220148.s001.pdf(405.54 KB)pone.0220148.s002.pdf(424.54 KB)pone.0220148.s003.pdf(402.62 KB)pone.0220148.s004.pdf(741.83 KB)pone.0220148.s005.pdf(552.85 KB)pone.0220148.s006.pdf(461.02 KB)
文件总体积 2.99 MB(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
Objectives
Disutility allows to identify how much population values intervention-related harms contributing to knowledge on the benefits/harms ratio of cancer screening programs. This systematic review evaluates disutility related to cancer screening applying a utility theory framework.
Methods
Using a predefined protocol, Embase, Medline Ovid, Web of Science, Cochrane, Google scholar and supplementary sources were systematically searched. The framework grouped disutilities associated with breast, cervical, lung, colorectal, and prostate cancer screening programs into the screening, diagnostic work up, and treatment phases. We assessed the quality of included studies according to the relevance to target population, risk of bias, appropriateness of measure and the time frame.
Results
Out of 2840 hits, we included 38 studies, of which 27 measured (and others estimated) disutilities. Around 70% of studies had medium to high-level quality. Measured disutilities and Quality Adjusted Life Years loss were 0–0.03 and 0–0.0013 respectively in screening phases. Both disutilities and Quality Adjusted Life Years loss had similar ranges in diagnostic work up (0–0.26), and treatment (0.09–0.27) phases. We found no measured disutilities available for lung cancer screening and—little evidence for disutilities in treatment phase. Almost 40% of the estimated disutility values were above the range of measured ones.
Conclusions
Cancer screening programs led to low disutities related to screening phase, and low to moderate disutilities related to diagnostic work up and treatment phases. These disutility values varied by the measurement instrument applied, and were higher in studies with lower quality. The estimated disutility values comparing to the measured ones tended to overestimate the harms.
许可
CC BY 4.0
引用
学术使用请引用 DOI 10.1371/journal.pone.0220148(source: https://plos.figshare.com/articles/dataset/Disutility_associated_with_cancer_screening_programs_A_systematic_review/9036278)。
数据缺失?
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