GBD数据集(肌肉骨骼疾病)

基于GBD 2021数据,构建肌肉骨骼疾病护理质量指数(QCI),评估全球204个国家1990-2021年的疾病负担与护理质量趋势。

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表格multidimensional evaluation frameworkg .vanuatug .italycentral african republicadjusted life years69 billion individualsglobal primary cause649 &# 8211dalys occurred globallydalys correlated positivelypain relief ratelow back pain
GBD dataset (1)

基本信息

模态
表格
大小
0.073442872 GB
许可
CC BY 4.0
创建/更新时间
2026-10-07
版本
v1

资源简介

GBD数据集(肌肉骨骼疾病)

【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 73.44 MB,主题涵盖 multidimensional evaluation framework、g ., vanuatu、g ., italy、central african republic、adjusted life years,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《GBD dataset (1).》。源站首次发布:2025-10-31。

【数据内容】

源站原始描述:Background Musculoskeletal disorders (MSDs) represent a global primary cause of disability, affecting over 1.69 billion individuals and accounting for over 160 million disability-adjusted life years (DALYs) in 2021. Conventional metrics assess care quality inadequately, necessitating a multidimensional evaluation framework. Thus, this study introduces a novel metric — the Quality of Care Index (QCI) — to comprehensively evaluate the MSD landscape. Objective To develop a novel QCI for MSDs and ev…

【数据结构与技术规格】

文件数 1 个,合计 73.44 MB。数据集 DOI:10.1371/journal.pone.0335235.s001。

【主题与分类】

源站学科分类:Medicine、Biotechnology、Ecology、Cancer、Science Policy、Infectious Diseases。主题标签:multidimensional evaluation framework、g ., vanuatu、g ., italy、central african republic、adjusted life years、69 billion individuals、global primary cause、649 &# 8211、dalys occurred globally、dalys correlated positively。

【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/GBD_dataset_1_/30502723

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

规范引用:Xia, Zhicong; Wang, Jiangguang; Wen, Xia (2025). GBD dataset (1).. PLOS ONE. Dataset

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。

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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 "pone.0335235.s001.csv" "https://ndownloader.figshare.com/files/59213647"

文件清单

  • pone.0335235.s001.csv(73.44 MB)

文件总体积 73.44 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

Background
Musculoskeletal disorders (MSDs) represent a global primary cause of disability, affecting over 1.69 billion individuals and accounting for over 160 million disability-adjusted life years (DALYs) in 2021. Conventional metrics assess care quality inadequately, necessitating a multidimensional evaluation framework. Thus, this study introduces a novel metric — the Quality of Care Index (QCI) — to comprehensively evaluate the MSD landscape.
Objective
To develop a novel QCI for MSDs and evaluate global trends, disparities, and drivers from 1990 to 2021.
Methods
Using Global Burden of Disease (GBD) 2021 data across 204 countries, we constructed a composite QCI integrating four domains: Pain Relief Rate(PRR), Opioid Use Rate(OUR), Need-Independent Coverage(NIC), and Patient Satisfaction(PS). These were standardized into a single index using Principal Component Analysis (PCA). Trends were analyzed via Estimated Annual Percentage Change (EAPC), with disparities assessed by Socio-Demographic Index (SDI) and geography.
Results
Significant increases in MSDs prevalence (over 12.7% of low back pain; near doubling of osteoarthritis) and DALYs occurred globally, driven by aging populations. Geographic Paradox: Lower- and middle-income countries (LMICs; e.g., Vanuatu, Nicaragua, Central African Republic) achieved higher QCI scores than high-income nations (e.g., Italy, Germany, Japan). QCI improved in LMICs (notably for osteoarthritis/neck pain) but stagnated or even declined in high-income regions. DALYs correlated positively with SDI (R = 0.649–0.863; p Conclusion
The QCI scores reveal critical relationship between MSDs burden and care quality. High-income regions experience challenges of opioid overuse and stagnant patient satisfaction, while LMICs express gains in access and perceived relief. Implementing context-stratified strategies — de-implementing low-value care in high-SDI areas while scaling evidence-based access in resource-constrained regions — constitutes a critical pathway to equitably alleviate the global MSDs burden.

许可

CC BY 4.0

引用

学术使用请引用 DOI 10.1371/journal.pone.0335235.s001(source: https://plos.figshare.com/articles/dataset/GBD_dataset_1_/30502723)。

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