15种癌症诊断间隔的年龄和性别差异：基于英国临床实践研究数据链的数据分析

数据集获取（Figshare）

• 源站标题：Age and Gender Variations in Cancer Diagnostic Intervals in 15 Cancers: Analysis of Data from the UK Clinical Practice Research Datalink
• DOI：10.1371/journal.pone.0127717
• 发布日期：2015-05-15
• 文件数：5 个
• 文件总体积：182.81 KB
• 源站页面：https://plos.figshare.com/articles/dataset/_Age_and_Gender_Variations_in_Cancer_Diagnostic_Intervals_in_15_Cancers_Analysis_of_Data_from_the_UK_Clinical_Practice_Research_Datalink_/1417403

命令行下载

curl -L -o "S1_Table.docx" "https://ndownloader.figshare.com/files/2071023"
curl -L -o "S2_Table.docx" "https://ndownloader.figshare.com/files/2071024"
curl -L -o "S3_Table.docx" "https://ndownloader.figshare.com/files/2071025"
curl -L -o "S4_Table.docx" "https://ndownloader.figshare.com/files/2071026"
curl -L -o "S5_Table.docx" "https://ndownloader.figshare.com/files/2071027"

文件清单

• S1_Table.docx（68.66 KB）
• S2_Table.docx（60.92 KB）
• S3_Table.docx（20.08 KB）
• S4_Table.docx（16.02 KB）
• S5_Table.docx（17.12 KB）

文件总体积 182.81 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
Time from symptomatic presentation to cancer diagnosis (diagnostic interval) is an important, and modifiable, part of the patient’s cancer pathway, and can be affected by various factors such as age, gender and type of presenting symptoms. The aim of this study was to quantify the relationships of diagnostic interval with these variables in 15 cancers diagnosed between 2007 and 2010 using routinely collected data from the Clinical Practice Research Datalink (CPRD) in the UK.
Methods
Symptom lists for each cancer were prepared from the literature and by consensus amongst the clinician researchers, which were then categorised into either NICE qualifying (NICE) or not (non-NICE) based on NICE Urgent Referral Guidelines for Suspected Cancer criteria. Multivariable linear regression models were fitted to examine the relationship between diagnostic interval (outcome) and the predictors: age, gender and symptom type.
Results
18,618 newly diagnosed cancer patients aged ≥40 who had a recorded symptom in the preceding year were included in the analysis. Mean diagnostic interval was greater for older patients in four disease sites (difference in days per 10 year increase in age; 95% CI): bladder (10.3; 5.5 to 15.1; Pnon-NICE symptoms in 10 of 15 cancers (mean difference in days; 95% CI): bladder (62.9; 48.7 to 77.2; Pnon-NICE symptoms (27.7 days; 23.9 to 31.5; PConclusions
We found age and gender-specific inequalities in time to diagnosis for some but not all cancer sites studied. Whilst these need further explanation, these findings can inform the development and evaluation of interventions intended to achieve timely diagnosis and improved cancer outcomes, such as to provide equity across all age and gender groupings.

许可

CC BY 4.0

引用

学术使用请引用 DOI 10.1371/journal.pone.0127717（source: https://plos.figshare.com/articles/dataset/_Age_and_Gender_Variations_in_Cancer_Diagnostic_Intervals_in_15_Cancers_Analysis_of_Data_from_the_UK_Clinical_Practice_Research_Datalink_/1417403）。