支持性文件（非洲卒中患者院前延迟系统综述与Meta分析）

数据集获取（Figshare）

• 源站标题：Supporting files.
• DOI：10.1371/journal.pone.0326323.s002
• 发布日期：2025-06-16
• 文件数：1 个
• 文件总体积：25.94 KB
• 源站页面：https://plos.figshare.com/articles/dataset/Supporting_files_/29331289

命令行下载

curl -L -o "pone.0326323.s002.xlsx" "https://ndownloader.figshare.com/files/55421401"

文件清单

• pone.0326323.s002.xlsx（25.94 KB）

文件总体积 25.94 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

Introduction
Stroke is one of the leading causes of death and disability, predominantly affecting low- and middle-income countries. Timely intervention following stroke onset is critical for reducing stroke-related outcomes. However, delayed hospital arrival frequently compromises the effectiveness of treatment. Previous African studies on delayed hospital arrival among stroke patients have reported inconsistent prevalence rates and determinants. Therefore, this systematic review and meta-analysis aimed to assess the overall prevalence of prehospital delay and identify its contributing factors among stroke patients in African countries.
Methodology
This systematic review and meta-analysis followed the Preferred Reporting Items for Systematic Reviews and Meta-Analyses guidelines. The study protocol was registered with PROSPERO under record number CRD42024545741. Relevant studies were retrieved by searching databases such as PubMed, Google Scholar, the Cochrane Library, AJOL, and Hinari. Additional studies were identified through manual searches and the review of article references. The identified studies were critically evaluated for quality. Data were extracted and exported to R (version 4.2.3) and STATA (version 15.0) for analysis. The pooled prevalence of prehospital delay and the pooled odds ratios for associated factors were subsequently estimated. The risk of bias was assessed using a funnel plot and Egger’s test. The results were presented using tables, figures, and statements.
Results
This systematic review and meta-analysis included 16 studies. The pooled prevalence of prehospital delay among stroke patients was 80% (95% CI: 74–86%). Lack of stroke symptom awareness (AOR = 4.43, 95% CI: 1.04–7.83) and increased distance from a health facility (AOR = 1.28, 95% CI: 1.22–1.34) were significantly associated with prehospital delay.
Conclusion and recommendation
The prevalence of prehospital delay among stroke patients in Africa is alarmingly high, with contributing factors including a lack of stroke symptom awareness and increased distance from health facilities. Accordingly, stakeholders should implement targeted interventions that enhance community educatio

许可

CC BY 4.0

引用

学术使用请引用 DOI 10.1371/journal.pone.0326323.s002（source: https://plos.figshare.com/articles/dataset/Supporting_files_/29331289）。