量效关系再探:医院和外科医生手术量对食管胃癌手术多结局指标的影响

基于英国国家食管胃癌审计数据,分析医院和外科医生手术量对食管胃癌术后30天/90天死亡率及吻合口漏率的影响。

Figshare
2017-10-27 更新
浏览 26
表格outcome measuresOG30- daysurgeon volumecentralise O-G cancer servicesMORUK30- day mortalityCIleakage ratesbetween-hospital variation90- day mortality
Volume-outcome revisited: The effect of hospital and surgeon volumes on multiple outcome measures in oesophago-gastric cancer surgery

基本信息

模态
表格
大小
0.000083115 GB
许可
CC BY 4.0
创建/更新时间
2017-10-27
版本
v1

资源简介

量效关系再探:医院和外科医生手术量对食管胃癌手术多结局指标的影响

【数据集背景】

本数据集源站标题为《Volume-outcome revisited: The effect of hospital and surgeon volumes on multiple outcome measures in oesophago-gastric cancer surgery》。配套论文《Volume-outcome revisited: The effect of hospital and surgeon volumes on multiple outcome measures in oesophago-gastric cancer surgery》发表于 PLOS ONE(2017),DOI:10.1371/journal.pone.0183955。源站首次发布:2017-10-26。

【数据内容】

源站原始描述:Background Most studies showing a volume outcome effect in resection surgery for oesophago-gastric cancer were conducted before the centralisation of clinical services. This study evaluated the relation between hospital- and surgeon volume and different risk-adjusted outcomes after oesophago-gastric (OG) cancer surgery in England between 2011 and 2013. Methods In data from the National Oesophago-Gastric Cancer Audit from the UK, multivariable random-effects logistic regression models were used t…

【数据结构与技术规格】

文件数 3 个,合计 83.11 KB。S1 Fig.docx:application/vnd.openxmlformats-officedocument.wordprocessingml.document,52.85 KB。S1 Text.docx:application/vnd.openxmlformats-officedocument.wordprocessingml.document,14.16 KB。S1 Table.docx:application/vnd.openxmlformats-officedocument.wordprocessingml.document,16.10 KB。数据集 DOI:10.1371/journal.pone.0183955。

【主题与分类】

源站学科分类:Medicine、Biotechnology、Biological Sciences not elsewhere classified、Cancer、Science Policy、Infectious Diseases。主题标签:outcome measures、OG、30- day、oesophago-gastric cancer surgery Background、surgeon volume、centralise O-G cancer services、MOR、UK、30- day mortality、CI。

【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/Volume-outcome_revisited_The_effect_of_hospital_and_surgeon_volumes_on_multiple_outcome_measures_in_oesophago-gastric_cancer_surgery/5544037

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

规范引用:Fischer, Claudia; Lingsma, Hester; Klazinga, Niek; Hardwick, Richard; Cromwell, David; Steyerberg, Ewout; et al. (2017). Volume-outcome revisited: The effect of hospital and surgeon volumes on multiple outcome measures in oesophago-gastric cancer surgery. PLOS ONE. Dataset

【使用注意】

· 源站最后修改于 2023-06-01,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

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。

免费样本无法满足模型训练要求?千方提供经三甲医院脱敏、带病理回证与专家标注的商业级专病数据集。

使用方式

数据集获取(Figshare)

命令行下载

curl -L -o "S1 Fig.docx" "https://ndownloader.figshare.com/files/9603448"
curl -L -o "S1 Text.docx" "https://ndownloader.figshare.com/files/9603451"
curl -L -o "S1 Table.docx" "https://ndownloader.figshare.com/files/9603454"

文件清单

  • S1 Fig.docx(52.85 KB)
  • S1 Text.docx(14.16 KB)
  • S1 Table.docx(16.10 KB)

文件总体积 83.11 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

Background
Most studies showing a volume outcome effect in resection surgery for oesophago-gastric cancer were conducted before the centralisation of clinical services. This study evaluated the relation between hospital- and surgeon volume and different risk-adjusted outcomes after oesophago-gastric (OG) cancer surgery in England between 2011 and 2013.
Methods
In data from the National Oesophago-Gastric Cancer Audit from the UK, multivariable random-effects logistic regression models were used to quantify the effect of surgeon and hospital volume on three outcomes: 30-day and 90-day mortality and anastomotic leakage. The models included patient risk factors to adjust for differences in case-mix among hospitals and surgeons. The between-cluster heterogeneity was estimated with the median odds ratio (MOR).
Results
The study included patients treated at 42 hospitals and 329 surgeons. The median (interquartile range) of the annual hospital and surgeon volumes were 110 patients (82 to 137) and 13 patients (8 to 19), respectively. The overall rates for 30-day and 90-day mortality were 2.3% and 4.4% respectively, and the anastomotic leakage was 6.3%. Higher hospital volume was associated with lower 30-day mortality (OR: 0.94; 95% CI: 0.91–0.98) and lower anastomotic leakage rates (OR: 0.96; 95% CI: 0.93–0.98) but not 90-day mortality. Higher surgeon volume was only associated with lower anastomotic leakage rates (OR: 0.81; 95% CI: 0.72–0.92). Hospital volume explained a part of the between-hospital variation in 30-day mortality whereas surgeon volume explained part of the between-hospital variation in anastomotic leakage.
Conclusions
In the setting of centralized O-G cancer surgery in England, we could still observe an effect of volume on short-term outcomes. However, the effect is inconsistent, depending on the type of outcome measure under consideration, and much smaller than in previous studies. Efforts to centralise O-G cancer services further should carefully address the effects of both hospital and surgeon volume on the range of outcome measures that are relevant to patients.

许可

CC BY 4.0

引用

学术使用请引用 DOI 10.1371/journal.pone.0183955(source: https://plos.figshare.com/articles/dataset/Volume-outcome_revisited_The_effect_of_hospital_and_surgeon_volumes_on_multiple_outcome_measures_in_oesophago-gastric_cancer_surgery/5544037)。

需要用于商业化训练或医疗器械注册(NMPA/FDA)?

公开数据往往缺乏完整的病理回证与专家标注。千方医数集依托三甲直采网络,提供合规、去标识化、支持注册级质控的专病数据集交易服务。