置信区间摘要

提供埃塞俄比亚创伤性脑损伤患病率、病因、严重程度、并发症及死亡率的置信区间摘要表格数据。

Figshare
2025-05-30 更新
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表格strengthening neurosurgeons capabilitiesroad traffic incidentsmajor cause morbidityjoanna briggs instituteheterogeneity observed amongdecrease tbis linkedcritical appraisal checklist28 &# 821118 %respectively15 &# 8211overall mortality ratertis )assaults
summary of the confidence intervals.

基本信息

模态
表格
大小
0.000005632 GB
许可
CC BY 4.0
创建/更新时间
2025-05-30
版本
v1

资源简介

置信区间摘要

【数据集背景】

本数据集源站标题为《summary of the confidence intervals.》。源站首次发布:2025-05-30。

【数据内容】

源站原始描述:Introduction Traumatic brain injury (TBI) is a major cause morbidity and mortality globally. In Ethiopia, the prevalence of TBI is high, driven by factors such as road traffic incidents (RTIs), assaults, and falls. However, comprehensive data regarding the epidemiology, causes, severity, and outcomes of TBI in Ethiopia remain limited. This scarcity hinders the formulation of evidence-based interventions and policies that are specifically tailored to this context. Therefore, this systematic revie…

【数据结构与技术规格】

文件数 1 个,合计 5.63 KB。Table 1.xls:application/vnd.ms-excel,5.63 KB。数据集 DOI:10.1371/journal.pone.0322641.t001。

【主题与分类】

源站学科分类:Medicine、Biotechnology、Science Policy、Infectious Diseases。主题标签:strengthening neurosurgeons capabilities、road traffic incidents、major cause morbidity、joanna briggs institute、heterogeneity observed among、decrease tbis linked、critical appraisal checklist、28 &# 8211、18 %, respectively、15 &# 8211。

【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/summary_of_the_confidence_intervals_/29201106

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

规范引用:Molla, Yohannis Derbew; Alemu, Hirut Tesfahun (2025). summary of the confidence intervals.. PLOS ONE. Dataset

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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。

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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/55000269"

文件清单

  • Table 1.xls(5.63 KB)

文件总体积 5.63 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
Traumatic brain injury (TBI) is a major cause morbidity and mortality globally. In Ethiopia, the prevalence of TBI is high, driven by factors such as road traffic incidents (RTIs), assaults, and falls. However, comprehensive data regarding the epidemiology, causes, severity, and outcomes of TBI in Ethiopia remain limited. This scarcity hinders the formulation of evidence-based interventions and policies that are specifically tailored to this context. Therefore, this systematic review and meta-analysis was conducted to provide pooled estimates on the prevalence, causes, severity, complications, and outcomes associated with TBI.
Method
A comprehensive review of existing literature was carried out by searching through PubMed, Scopus, Web of Science and EMBASE to gather studies published until September 2024. The inclusion criteria were centered on studies that discussed the frequency, causes, risk factors and results of brain injury, in Ethiopia. The quality of the studies included in the review was evaluated using the Joanna Briggs Institute (JBI) critical appraisal checklist. We utilized Stata 17 statistical software for analysis. To address the heterogeneity observed among the studies, random-effects models were employed.
Results
The pooled prevalence of TBI among patients presented with trauma was approximately 30.5%. The average age of the patients was 27.48 ± 2.047 years. The main causes for TBI were assaults 36% (CI: 0.28–0.44) road traffic incidents 35% (CI: 0.28–0.41) and falls 21% (CI: 0.15–0.27). Mild TBI made up 57% while moderate and severe TBI accounted for 25% and 18%, respectively. Complications, such as post-traumatic seizures and infections, were reported in 17% of cases. Additionally, the overall mortality rate was 12%. However, significant variability was observed among studies.
Conclusion
The meta-analysis underscores the impact of TBI, in Ethiopia with high mortality rates and associated challenges. The results underscore the pressing requirement for measures to decrease TBIs linked to accidents and violence while also enhancing emergency services access and strengthening neurosurgeons capabilities, in Ethiopian medical facilities

许可

CC BY 4.0

引用

学术使用请引用 DOI 10.1371/journal.pone.0322641.t001(source: https://plos.figshare.com/articles/dataset/summary_of_the_confidence_intervals_/29201106)。

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