Scored patient-generated Subjective Global Assessment:癌症患者的住院时长和死亡率

包含366名癌症患者病历数据,用于评估SGA评分与住院时长及死亡率的关联。

SciELO journalsSciELO journals
DataCite Commons
2022-06-07 更新
浏览 16
表格DeathLengthMalnutritionNeoplasmsNutrition assessment
Scored patient-generated Subjective Global Assessment: Length of hospital stay and mortality in cancer patients

基本信息

模态
表格
大小
0.000026624 GB
许可
CC BY 4.0
创建/更新时间
2022-06-07
版本
v1

资源简介

Scored patient-generated Subjective Global Assessment:癌症患者的住院时长和死亡率

【一句话概览】

本数据集是 figshare 公开的结构化表格数据集,收录 4 个文件、合计 26.62 KB,主题涵盖 Death、Length、Malnutrition、Neoplasms、Nutrition assessment,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《Scored patient-generated Subjective Global Assessment: Length of hospital stay and mortality in cancer patients》。配套论文《Scored patient-generated Subjective Global Assessment: Length of hospital stay and mortality in cancer patients》发表于 Revista de Nutrição(2017),DOI:10.1590/1678-98652017000500001。源站首次发布:2017-12-20。

【数据内容】

源站原始描述:ABSTRACT Objective To determine the association of a scored patient-generated Subjective Global Assessment with mortality and length of hospital stay in cancer patients. Methods Cross-sectional study carried out between July and September 2014 using secondary data collection using data from 366 medical records of patients admitted to a hospital recognized as a cancer center of excellence. The present study included patients with hospital stay over than or equal three days and minimum age of 20 y…

【数据结构与技术规格】

文件数 4 个,合计 26.62 KB。数据集 DOI:10.6084/m9.figshare.5720797.v1。

【主题与分类】

源站学科分类:Nutrition and Dietetics not elsewhere classified。主题标签:Death、Length、Malnutrition、Neoplasms、Nutrition assessment。

【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://scielo.figshare.com/articles/dataset/Scored_patient-generated_Subjective_Global_Assessment_Length_of_hospital_stay_and_mortality_in_cancer_patients/5720797

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

规范引用:SANTOS, Alexsandro Ferreira dos; RABELO JUNIOR, Antonio Aragão; CAMPOS, Fernanda Larissa Brito; SOUSA, Rosângela Maria Lopes de; VELOSO, Helma Jane Ferreira; CHEIN, Maria Bethânia da Costa (2017). Scored patient-generated Subjective Global Assessment: Length of hospital stay and mortality in cancer…

【使用注意】

· 源站最后修改于 2023-05-31,引用时请注意版本时效。

官方服务

专家保障全链路合规授权与标注交付

陕川双基地 × 超十家三甲医院直连

从合规授权、采集治理、专业标注到数据集交付,我们提供全链路闭环服务,让高质量临床数据即拿即用。

⚡️ 需要原始数据或标注支持?联系我们获取定制方案。

帮我联系

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)

命令行下载

curl -L -o "Table_1.xls" "https://ndownloader.figshare.com/files/35701746"
curl -L -o "Table_2.xls" "https://ndownloader.figshare.com/files/35701749"
curl -L -o "Table_3.xls" "https://ndownloader.figshare.com/files/35701752"
curl -L -o "Table_4.xls" "https://ndownloader.figshare.com/files/35701755"

文件清单

  • Table_1.xls(5.63 KB)
  • Table_2.xls(9.73 KB)
  • Table_3.xls(5.63 KB)
  • Table_4.xls(5.63 KB)

文件总体积 26.62 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

ABSTRACT Objective To determine the association of a scored patient-generated Subjective Global Assessment with mortality and length of hospital stay in cancer patients. Methods Cross-sectional study carried out between July and September 2014 using secondary data collection using data from 366 medical records of patients admitted to a hospital recognized as a cancer center of excellence. The present study included patients with hospital stay over than or equal three days and minimum age of 20 years. The patient-generated Subjective Global Assessment scores were calculated and compared with the patients’ clinical and anthropometric characteristics and outcomes (death and long length of stay in hospital). Results Of the 366 patients evaluated, 36.0% were malnourished. The presence of malnutrition, according to the scored patient-generated Subjective Global Assessment, was statistically associated with the presence of metastasis (52.4%). On the other hand, malnutrition, according to the body mass index in adults (55.8%) and in older elderly patients (54.2%), was associated with death (55.0%). The adjusted logistic regression model showed that the following factors were associated with prolonged hospitalization: early nutritional screening, presence of severe malnutrition, radiotherapy and chemotherapy, and surgical procedures. As for mortality, the associated factors were: male reproductive system tumor, presence of metastasis, clinical treatment, prolonged hospitalization, and the presence of some degree of malnutrition. Conclusion The patient-generated Subjective Global Assessment score is an important risk marker of prolonged hospitalization and mortality rates. It is a useful tool capable of circumventing significant biases in the nutritional evaluation of cancer patients.

许可

CC BY 4.0

引用

学术使用请引用 DOI 10.6084/m9.figshare.5720797.v1(source: https://scielo.figshare.com/articles/dataset/Scored_patient-generated_Subjective_Global_Assessment_Length_of_hospital_stay_and_mortality_in_cancer_patients/5720797)。

数据缺失?

依托陕西、四川两大基地,我们与超过十家三甲医院建立直接合作关系,覆盖合规授权、采集治理、专业标注、数据交付的全流程,为AI医疗团队提供即拿即用的高质量临床数据。

⚡️ 需要数据支持或标注服务?立即联系我们获取专业方案。

获取专属数据定制方案