类风湿关节炎甲氨蝶呤反应预测模型数据集
用于预测类风湿关节炎患者对甲氨蝶呤反应不足的多变量模型数据集,包含临床、遗传和代谢特征。

基本信息
资源简介
类风湿关节炎甲氨蝶呤反应预测模型数据集
【数据集背景】
本数据集源站标题为《Development and validation of a prognostic multivariable model to predict insufficient clinical response to methotrexate in rheumatoid arthritis》。配套论文《Development and validation of a prognostic multivariable model to predict insufficient clinical response to methotrexate in rheumatoid arthritis》发表于 PLOS ONE(2018),DOI:10.1371/journal.pone.0208534。源站首次发布:2018-12-10。
【数据内容】
源站原始描述:Objective The objective was to predict insufficient response to 3 months methotrexate (MTX) in DMARD naïve rheumatoid arthritis patients. Methods A Multivariable logistic regression model of rheumatoid arthritis patients starting MTX was developed in a derivation cohort with 285 patients starting MTX in a clinical multicentre, stratified single-blinded trial, performed in seven secondary care clinics and a tertiary care clinic. The model was validated in a validation cohort with 102 patients sta…
【数据结构与技术规格】
文件数 2 个,合计 98.42 KB。pone.0208534.s001.sav:application/octet-stream,84.98 KB。pone.0208534.s002.docx:application/vnd.openxmlformats-officedocument.wordprocessingml.document,13.44 KB。数据集 DOI:10.1371/journal.pone.0208534。
【主题与分类】
源站学科分类:Medicine、Genetics、Pharmacology、Biotechnology、Ecology、Immunology。主题标签:ROC、derivation cohort、prognostics prediction model、3 months methotrexate、BMI、lifestyle variables、disease activity score、multivariable prediction model、arthritis patients、RA。
【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/Development_and_validation_of_a_prognostic_multivariable_model_to_predict_insufficient_clinical_response_to_methotrexate_in_rheumatoid_arthritis/7443950
使用许可:CC BY 4.0(https://creativecommons.org/licenses/by/4.0/)。
规范引用:de Rotte, Maurits C. F. J.; Pluijm, Saskia M. F.; de Jong, Pascal H. P.; Ćalasan, Maja Bulatović; Wulffraat, Nico M.; E. A. M. Weel, Angelique; et al. (2018). Development and validation of a prognostic multivariable model to predict insufficient clinical response to methotrexate in rheumatoid arthri…
【使用注意】
· 源站最后修改于 2023-05-31,引用时请注意版本时效。
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)
- 源站标题:Development and validation of a prognostic multivariable model to predict insufficient clinical response to methotrexate in rheumatoid arthritis
- DOI:10.1371/journal.pone.0208534
- 发布日期:2018-12-10
- 文件数:2 个
- 文件总体积:98.42 KB
- 源站页面:https://plos.figshare.com/articles/dataset/Development_and_validation_of_a_prognostic_multivariable_model_to_predict_insufficient_clinical_response_to_methotrexate_in_rheumatoid_arthritis/7443950
命令行下载
curl -L -o "pone.0208534.s001.sav" "https://ndownloader.figshare.com/files/13779950"
curl -L -o "pone.0208534.s002.docx" "https://ndownloader.figshare.com/files/13779953"
文件清单
pone.0208534.s001.sav(84.98 KB)pone.0208534.s002.docx(13.44 KB)
文件总体积 98.42 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
Objective
The objective was to predict insufficient response to 3 months methotrexate (MTX) in DMARD naïve rheumatoid arthritis patients.
Methods
A Multivariable logistic regression model of rheumatoid arthritis patients starting MTX was developed in a derivation cohort with 285 patients starting MTX in a clinical multicentre, stratified single-blinded trial, performed in seven secondary care clinics and a tertiary care clinic. The model was validated in a validation cohort with 102 patients starting MTX at a tertiary care clinic. Outcome was insufficient response (disease activity score (DAS)28 >3.2) after 3 months of MTX treatment. Clinical characteristics, lifestyle variables, genetic and metabolic biomarkers were determined at baseline in both cohorts. These variables were dichotomized and used to construct a multivariable prediction model with backward logistic regression analysis.
Results
The prediction model for insufficient response in the derivation cohort, included: DAS28>5.1, Health Assessment Questionnaire>0.6, current smoking, BMI>25 kg/m2, ABCB1 rs1045642 genotype, ABCC3 rs4793665 genotype, and erythrocyte-folateConclusions
A prognostics prediction model for insufficient response to MTX in 2 prospective RA cohorts by combining genetic, metabolic, clinical and lifestyle variables was developed and validated. This model satisfactorily identified RA patients with high risk of insufficient response to MTX.
许可
CC BY 4.0
引用
学术使用请引用 DOI 10.1371/journal.pone.0208534(source: https://plos.figshare.com/articles/dataset/Development_and_validation_of_a_prognostic_multivariable_model_to_predict_insufficient_clinical_response_to_methotrexate_in_rheumatoid_arthritis/7443950)。
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。
⚡️ 需要数据支持或标注服务?立即联系我们获取专业方案。




