使用JBI检查表进行偏倚风险评估

结核病培训干预系统评价的JBI偏倚评估数据,以表格形式呈现文献筛选与质量评价结果。

Figshare
2023-03-23 更新
浏览 11
表格tb case detectionrandomized control trialsrandom effect modeljoanna briggs institutecommon infectious cause15 february 2021leaving eight studiesfourth reviewers participating00 %pdetermine whether trainingxlink "> tuberculosisfinal systematic review
Risk bias assessment using JBI checklist.

基本信息

模态
表格
大小
0.000009728 GB
许可
CC BY 4.0
创建/更新时间
2023-03-23
版本
v1

资源简介

使用JBI检查表进行偏倚风险评估

【数据集背景】

本数据集源站标题为《Risk bias assessment using JBI checklist.》。源站首次发布:2023-03-23。

【数据内容】

源站原始描述:Introduction Tuberculosis is the second most common infectious cause of death globally. Low TB case detection remains a major challenge to achieve the global End TB targets. This systematic review and meta-analysis aimed to determine whether training of health professionals and volunteers increase TB case detection. Methods We performed a systematic review and meta-analysis of randomized control trials and non-randomized control trials reporting on the effectiveness of health professionals and v…

【数据结构与技术规格】

文件数 1 个,合计 9.73 KB。Table 2.xls:application/vnd.ms-excel,9.73 KB。数据集 DOI:10.1371/journal.pone.0271825.t002。

【主题与分类】

源站学科分类:Biotechnology、Science Policy、Infectious Diseases。主题标签:tb case detection、randomized control trials、random effect model、joanna briggs institute、common infectious cause、15 february 2021、leaving eight studies、fourth reviewers participating、00 %, p、determine whether training。

【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/Risk_bias_assessment_using_JBI_checklist_/22326138

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

规范引用:Amare, Desalegne; Getahun, Fentie Ambaw; Mengesha, Endalkachew Worku; Dessie, Getenet; Shiferaw, Melashu Balew; Dires, Tegenaw Asemamaw; et al. (2023). Risk bias assessment using JBI checklist.. PLOS ONE. Dataset

【使用注意】

· 源站最后修改于 2023-06-21,引用时请注意版本时效。

官方服务

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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。

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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 "Table 2.xls" "https://ndownloader.figshare.com/files/39718440"

文件清单

  • Table 2.xls(9.73 KB)

文件总体积 9.73 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
Tuberculosis is the second most common infectious cause of death globally. Low TB case detection remains a major challenge to achieve the global End TB targets. This systematic review and meta-analysis aimed to determine whether training of health professionals and volunteers increase TB case detection.
Methods
We performed a systematic review and meta-analysis of randomized control trials and non-randomized control trials reporting on the effectiveness of health professionals and volunteers training on TB case detection. We searched PubMed, SCOPUS, Cochrane Library, and reference sections of included articles from inception through to 15 February 2021, for studies published in English. Study screening, data extraction, and bias assessments were performed independently by two reviewers with third and fourth reviewers participating to resolve conflicts. The risk of bias was assessed using the Joanna Briggs Institute (JBI) checklist. Meta-analyses were performed with a random effect model to estimate the effectiveness of training intervention on TB case detection.
Results
Of the 2015 unique records identified through our search strategies, 2007 records were excluded following the screening, leaving eight studies to be included in the final systematic review and meta-analysis. The results showed that providing training to health professionals and volunteers significantly increased TB case detection (RR: 1.60, 95% CI: 1.53, 1.66). There was not a significant degree of heterogeneity across the included study on the outcome of interest (I2 = 0.00%, p = 0.667).
Conclusions
Providing training to healthcare workers and volunteers can increase TB case detection.

许可

CC BY 4.0

引用

学术使用请引用 DOI 10.1371/journal.pone.0271825.t002(source: https://plos.figshare.com/articles/dataset/Risk_bias_assessment_using_JBI_checklist_/22326138)。

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。

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