瑞典非特异性癌症症状诊断中心时间间隔分析（表2）

数据集获取（Figshare）

• 源站标题：Table_2_Time Intervals Under the Lens at Sweden’s First Diagnostic Center for Primary Care Patients With Nonspecific Symptoms of Cancer. A Comparison With Matched Control Patients.docx
• DOI：10.3389/fonc.2020.561379.s002
• 发布日期：2020-11-30
• 文件数：1 个
• 文件总体积：14.90 KB
• 源站页面：https://frontiersin.figshare.com/articles/dataset/Table_2_Time_Intervals_Under_the_Lens_at_Sweden_s_First_Diagnostic_Center_for_Primary_Care_Patients_With_Nonspecific_Symptoms_of_Cancer_A_Comparison_With_Matched_Control_Patients_docx/13306319

命令行下载

curl -L -o "Table_2_Time Intervals Under the Lens at Sweden’s First Diagnostic Center for Primary Care Patients With Nonspecific Symptoms of Cancer. A Comparison .docx" "https://ndownloader.figshare.com/files/25638266"

文件清单

• Table_2_Time Intervals Under the Lens at Sweden’s First Diagnostic Center for Primary Care Patients With Nonspecific Symptoms of Cancer. A Comparison .docx（14.90 KB）

文件总体积 14.90 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

IntroductionFast-track referral pathways for patients with nonspecific, serious symptoms have been implemented in several countries. Our objective was to analyze time intervals in the diagnostic routes of patients diagnosed with cancer at Sweden’s first Diagnostic Center (DC) for nonspecific symptoms and compare with time intervals of matched control patients.
MethodsAdult patients with nonspecific symptoms that could not be explained by an initial investigation in primary care were eligible for referral to the DC. Patients diagnosed with cancer were matched with patients at another hospital within the same healthcare organization. We aimed for two control patients per DC-patient and matched on tumor type, age and sex. Five time intervals were compared: 1) patient interval (first symptom—primary care contact), 2) primary care interval (first visit—referral to the DC/secondary care), 3) diagnostic interval (first visit—cancer diagnosis), 4) information interval (cancer diagnosis—patient informed) and 5) treatment interval (cancer diagnosis—treatment start). Comparisons between groups and matched cohort analyses were made.
ResultsSixty-four patients (22.1%) were diagnosed with cancer at the DC, of which eight were not matchable. Forty-two patients were matched with two controls and 14 were matched with one control. There were no significant differences in patient-, primary care-, or diagnostic intervals between the groups. The information interval was shorter at the DC compared to the control group (difference between matched pairs 7 days, p = 0.001) and the treatment interval was also shorter at the DC with significant differences in the matched analysis (difference between matched pairs 13 days, p = 0.049). The findings remained the same in four sensitivity analyses, made to compensate for differences between the groups.
ConclusionsUp to diagnosis, we could not detect significant differences in time intervals between the DC and the control group. However, the shorter information and treatment intervals at the DC should be advantageous for these patients who will get timely access to treatment or palliative care. Due to limitations regarding comparability between

许可

CC BY 4.0

引用

学术使用请引用 DOI 10.3389/fonc.2020.561379.s002（source: https://frontiersin.figshare.com/articles/dataset/Table_2_Time_Intervals_Under_the_Lens_at_Sweden_s_First_Diagnostic_Center_for_Primary_Care_Patients_With_Nonspecific_Symptoms_of_Cancer_A_Comparison_With_Matched_Control_Patients_docx/13306319）。