内脏脂肪组织减少干预措施系统综述与Meta分析原始数据

数据集获取（Figshare）

• 源站标题：<b>Comparative Efficacy of Lifestyle </b><b>Modification</b><b> and GLP-1RA-Based Interventions for Visceral Adipose Tissue Reduction: Meta-Analysis of 36 Randomised Controlled Trials</b>
• DOI：10.6084/m9.figshare.29875070.v5
• 发布日期：2026-07-07
• 文件数：7 个
• 文件总体积：1.90 MB
• 源站页面：https://figshare.com/articles/dataset/RawData_xlsx/29875070

命令行下载

curl -L -o "pubmed-visceralfa-set.txt" "https://ndownloader.figshare.com/files/57081800"
curl -L -o "Zotero.png" "https://ndownloader.figshare.com/files/57081803"
curl -L -o "Analysis.xlsx" "https://ndownloader.figshare.com/files/57263144"
curl -L -o "Baseline.xlsx" "https://ndownloader.figshare.com/files/57263147"
curl -L -o "R codes used for analysis.docx" "https://ndownloader.figshare.com/files/57263141"
curl -L -o "Picture 1.png" "https://ndownloader.figshare.com/files/66390341"
curl -L -o "summary-visceralad-set.txt" "https://ndownloader.figshare.com/files/66390344"

文件清单

• pubmed-visceralfa-set.txt（1.18 MB）
• Zotero.png（316.02 KB）
• Analysis.xlsx（18.54 KB）
• Baseline.xlsx（15.35 KB）
• R codes used for analysis.docx（28.52 KB）
• Picture 1.png（229.71 KB）
• summary-visceralad-set.txt（116.60 KB）

文件总体积 1.90 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

This dataset supports a systematic review and meta-analysis evaluating the efficacy of lifestyle and pharmacological interventions for reducing visceral adipose tissue (VAT) in adults, a key driver of cardio-renal-hepatic-metabolic (CRHM) risks, including insulin resistance, type 2 diabetes mellitus (T2DM), and cardiovascular disease. Conducted under PRISMA guidelines, the study searched PubMed (January 1, 2010–August 5, 2025) for randomized controlled trials (RCTs) assessing VAT via computed tomography (CT), magnetic resonance imaging (MRI), or dual-energy X-ray absorptiometry (DXA) in adults ≥18 years, excluding those with Type 1 Diabetes, latent autoimmune diabetes in adults, gestational diabetes mellitus, pregnancy, or acute organ insufficiency.
Thirty six RCTs involving 5,769 participants were included for this meta-analysis. Interventions included Diet, Exercise, Diet + Exercise, and GLP1RA-based treatment. The primary outcome was % VAT Change, with secondary outcomes including Total Fat % Change, BMI Change, Weight Change, and Waist Circumference Change.
Data were extracted using a standardized Excel template, capturing study characteristics (author, year, intervention, comparison, sample size, duration), participant characteristics (age, weight, BMI, waist circumference, total fat, VAT, female proportion, T2DM prevalence), and outcomes. Meta-analyses used random-effects models in R (metafor package, version 4.2.3), with prediction intervals to assess heterogeneity. Key findings include Diet + Exercise achieving the largest VAT reduction (-18.19%, 95% CI[-27.26, -9.12]), followed by GLP1RT(-14.23%, PI [-18.80, 9.66]), with VLED, tirzepatide, and retatrutide leading their categories. Semaglutide doses >1.0 mg enhanced VAT reduction beyond BMI/weight loss. Weight loss correlated strongly with VAT reduction. Moderators included age, T2DM, and adiposity.
This dataset includes two Excel files: “RCTs.xlsx” (36 RCTs, study-level data) and “Analysis.xlsx” (including multi-arm studies). Variables include study identifiers, intervention details, participant demographics, and outcome measures (% VAT Change, etc.), with units (cm², liters, kg) specified. A README fi

许可

CC BY 4.0

引用

学术使用请引用 DOI 10.6084/m9.figshare.29875070.v5（source: https://figshare.com/articles/dataset/RawData_xlsx/29875070）。