瑞典第一家针对非特异性癌症症状患者的诊断中心的诊断谱和时间间隔

数据集获取（Figshare）

• 源站标题：Diagnostic spectrum and time intervals in Sweden’s first diagnostic center for patients with nonspecific symptoms of cancer
• DOI：10.6084/m9.figshare.7578221.v1
• 发布日期：2019-01-11
• 文件数：3 个
• 文件总体积：47.27 KB
• 源站页面：https://tandf.figshare.com/articles/dataset/Diagnostic_spectrum_and_time_intervals_in_Sweden_s_first_diagnostic_center_for_patients_with_nonspecific_symptoms_of_cancer/7578221

命令行下载

curl -L -o "Table S1 revised.docx" "https://ndownloader.figshare.com/files/14075594"
curl -L -o "Table S2 revised.docx" "https://ndownloader.figshare.com/files/14075597"
curl -L -o "Table S3 revised.docx" "https://ndownloader.figshare.com/files/14075600"

文件清单

• Table S1 revised.docx（15.58 KB）
• Table S2 revised.docx（16.29 KB）
• Table S3 revised.docx（15.40 KB）

文件总体积 47.27 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

Background: Fast-track referral is an increasingly used method for diagnostic evaluation of patients suspected of having cancer. This approach is challenging and not used as often for patients with only nonspecific symptoms. In order to expedite the diagnostics for these patients, we established Sweden’s first Diagnostic Center (DC) focusing on outcomes related to diagnoses and diagnostic time intervals.
Material and Methods: The study was designed as a prospective cohort study. Patients aged ≥18 years who presented in primary care with nonspecific symptoms of a serious disease were eligible for referral to the DC after having completed an initial investigation. Acceptable diagnostic time intervals were defined to be a maximum of 15 days in primary care and 22 days at the DC. Diagnostic outcome, length of diagnostic time intervals and patient satisfaction were evaluated.
Results: A total of 290 patients were included in the study. Cancer was diagnosed in 22.1%, other diseases in 64.1%, and no diagnosis was identified in 13.8% of these patients. Patients diagnosed with cancer were older, had shorter patient interval (time from first symptom to help-seeking), shorter DC-interval (time from referral decision in primary care to diagnosis) and showed a greater number of symptoms compared to patients with no diagnosis. The median primary care interval was 21 days and the median DC interval was 11 days. Few symptoms, no diagnosis, female sex, longer patient interval, and incomplete investigations were associated with prolonged diagnostic time intervals. Patient satisfaction was high; 86% of patients reported a positive degree of satisfaction with the diagnostic procedures.
Conclusions: We demonstrated that the DC concept is feasible with a diagnosis reached in 86.2% of the patients in addition to favorable diagnostic time intervals at the DC and a high degree of patient satisfaction.
Trial registration:ClinicalTrials.gov identifier: NCT01709539.

许可

CC BY 4.0

引用

学术使用请引用 DOI 10.6084/m9.figshare.7578221.v1（source: https://tandf.figshare.com/articles/dataset/Diagnostic_spectrum_and_time_intervals_in_Sweden_s_first_diagnostic_center_for_patients_with_nonspecific_symptoms_of_cancer/7578221）。