马里乳腺癌患者首次就诊、诊断和治疗时间的影响因素及其对生存的影响

数据集获取（Figshare）

• 源站标题：Factors associated with time to first healthcare visit, diagnosis and treatment, and their impact on survival among breast cancer patients in Mali
• DOI：10.1371/journal.pone.0207928
• 发布日期：2018-11-29
• 文件数：3 个
• 文件总体积：191.26 KB
• 源站页面：https://plos.figshare.com/articles/dataset/Factors_associated_with_time_to_first_healthcare_visit_diagnosis_and_treatment_and_their_impact_on_survival_among_breast_cancer_patients_in_Mali/7401470

命令行下载

curl -L -o "pone.0207928.s001.pdf" "https://ndownloader.figshare.com/files/13690286"
curl -L -o "pone.0207928.s002.pdf" "https://ndownloader.figshare.com/files/13690289"
curl -L -o "pone.0207928.s003.sav" "https://ndownloader.figshare.com/files/13690292"

文件清单

• pone.0207928.s001.pdf（89.09 KB）
• pone.0207928.s002.pdf（90.62 KB）
• pone.0207928.s003.sav（11.55 KB）

文件总体积 191.26 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
To analyse patient and healthcare system related factors influencing the time to first healthcare visit, diagnosis and treatment of breast cancer patients in sub-Saharan Africa and the impact on survival in order to advise on early detection strategies.
Methods
A prospective hospital cohort study was conducted at the only pathology department in Mali, at the University Hospital in Bamako. All the female patients with a breast cancer diagnosis between January and April 2016 were interviewed with a structured questionnaire (N = 64) to gather information about breast symptom recognition and first healthcare visit. Information on beginning of treatment and survival were collected at 18-months follow-up. Simple Cox regression analyses were performed.
Results
The median time to first healthcare visit was 4.8 months, from first healthcare visit to diagnosis was 0.9 months and for the patients who started treatment (N = 46) the time from diagnosis to treatment was 1.3 months. Knowledge of breast-self-examination and correct symptom interpretation increased the chance of an earlier healthcare visit. Prolonged time to diagnosis was found with shorter duration to first healthcare visit, for working women compared to housewives and for those living within Bamako. Living outside Bamako and smaller tumour size (T1/T2) prolonged time to treatment. Visit of a traditional healer and larger tumour size (T3/T4) shortened survival time, whereas time to first healthcare visit and subsequent time to diagnosis had no influence on survival.
Conclusions
Down-staging strategies are only useful if the continuum of breast cancer care is warranted for the majority of patients.

许可

CC BY 4.0

引用

学术使用请引用 DOI 10.1371/journal.pone.0207928（source: https://plos.figshare.com/articles/dataset/Factors_associated_with_time_to_first_healthcare_visit_diagnosis_and_treatment_and_their_impact_on_survival_among_breast_cancer_patients_in_Mali/7401470）。