癌症患者中心静脉导管相关性血栓风险预测模型表2

数据集获取（Figshare）

• 源站标题：Table 2_Predictive model for CRT risk in cancer patients with central venous access devices: a systematic review and meta-analysis.docx
• DOI：10.3389/fmed.2025.1580920.s002
• 发布日期：2025-06-27
• 文件数：1 个
• 文件总体积：29.29 KB
• 源站页面：https://frontiersin.figshare.com/articles/dataset/Table_2_Predictive_model_for_CRT_risk_in_cancer_patients_with_central_venous_access_devices_a_systematic_review_and_meta-analysis_docx/29422529

命令行下载

curl -L -o "Table 2_Predictive model for CRT risk in cancer patients with central venous access devices: a systematic review and meta-analysis.docx" "https://ndownloader.figshare.com/files/55710356"

文件清单

• Table 2_Predictive model for CRT risk in cancer patients with central venous access devices: a systematic review and meta-analysis.docx（29.29 KB）

文件总体积 29.29 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

IntroductionWith the high incidence of central venous access device catheter-related thrombosis (CRT) in patients with cancer, its early onset, and the characteristics of clinically insignificant symptoms, risk assessment is essential for the targeted application of thromboprophylaxis. The aim of this paper was to review the risk prediction models developed for central venous access device CRT in patients with cancer and to evaluate their performance.
MethodsPubMed, Embase, Web of Science, Cochrane Library, CNKI, SinoMed, Wanfang Data, and VIP databases were searched, and the search timeframes ranged from the establishment of the database to May 22, 2024. Two researchers independently performed literature screenings, data extractions, and quality assessments. The risk of bias and applicability of the included studies were assessed using the Predictive Model Risk of Bias Assessment Tool. A meta-analysis of the areas under the curve (AUC) values for model validation was performed using Stata 17.0 software.
ResultsNineteen papers with 29 predictive models were included in this systematic review, reporting AUC values of 0.470–1.000. The incidence of central venous access device CRT in cancer patients ranges from 2.02 to 39.4%. The most commonly used predictors are D-dimer levels, BMI, and diabetes. All studies were judged to have a high risk of bias, mainly due to poor reporting of the areas analyzed. The combined AUC value of the six validated models was 0.81 (95% confidence interval: 0.76–0.86), indicating good model discrimination.
DiscussionMost available CRT prediction models exhibited moderate-to-good predictive performance. However, all the studies were rated as having a high risk of bias according to the PROBAST scale. Future studies should adhere to methodological and reporting guidelines for large-sample, multi-center external validation of models, focusing on studies that report rigorous design and optimization or on the development of new models.
Systematic review registrationPROSPERO, identifier: CRD42024516563.

许可

CC BY 4.0

引用

学术使用请引用 DOI 10.3389/fmed.2025.1580920.s002（source: https://frontiersin.figshare.com/articles/dataset/Table_2_Predictive_model_for_CRT_risk_in_cancer_patients_with_central_venous_access_devices_a_systematic_review_and_meta-analysis_docx/29422529）。