基于人群行政健康数据评估癌症非相关合并症的可重复性、可靠性和有效性

数据集获取（Figshare）

• 源站标题：Reproducibility, reliability and validity of population-based administrative health data for the assessment of cancer non-related comorbidities
• DOI：10.1371/journal.pone.0172814
• 发布日期：2017-03-06
• 文件数：3 个
• 文件总体积：223.69 KB
• 源站页面：https://plos.figshare.com/articles/dataset/Reproducibility_reliability_and_validity_of_population-based_administrative_health_data_for_the_assessment_of_cancer_non-related_comorbidities/4727068

命令行下载

curl -L -o "pone.0172814.s001.docx" "https://ndownloader.figshare.com/files/7717321"
curl -L -o "pone.0172814.s002.xlsx" "https://ndownloader.figshare.com/files/7717327"
curl -L -o "pone.0172814.s003.xlsx" "https://ndownloader.figshare.com/files/7717333"

文件清单

• pone.0172814.s001.docx（30.59 KB）
• pone.0172814.s002.xlsx（181.94 KB）
• pone.0172814.s003.xlsx（11.16 KB）

文件总体积 223.69 KB（源站 API 实测）。

数据说明

Background
Patients with comorbidities do not receive optimal treatment for their cancer, leading to lower cancer survival. Information on individual comorbidities is not straightforward to derive from population-based administrative health datasets. We described the development of a reproducible algorithm to extract the individual Charlson index comorbidities from such data. We illustrated the algorithm with 1,789 laryngeal cancer patients diagnosed in England in 2013. We aimed to clearly set out and advocate the time-related assumptions specified in the algorithm by providing empirical evidence for them.
Methods
Comorbidities were assessed from hospital records in the ten years preceding cancer diagnosis and internal reliability of the hospital records was checked. Data were right-truncated 6 or 12 months prior to cancer diagnosis to avoid inclusion of potentially cancer-related comorbidities. We tested for collider bias using Cox regression.
Results
Our administrative data showed weak to moderate internal reliability to identify comorbidities (ICC ranging between 0.1 and 0.6) but a notably high external validity (86.3%). We showed a reverse protective effect of non-cancer related Chronic Obstructive Pulmonary Disease (COPD) when the effect is split into cancer and non-cancer related COPD (Age-adjusted HR: 0.95, 95% CI:0.7–1.28 for non-cancer related comorbidities). Furthermore, we showed that a window of 6 years before diagnosis is an optimal period for the assessment of comorbidities.
Conclusion
To formulate a robust approach for assessing common comorbidities, it is important that assumptions made are explicitly stated and empirically proven. We provide a transparent and consistent approach useful to researchers looking to assess comorbidities for cancer patients using administrative health data.

许可

CC BY 4.0

引用

学术使用请引用 DOI 10.1371/journal.pone.0172814（source: https://plos.figshare.com/articles/dataset/Reproducibility_reliability_and_validity_of_population-based_administrative_health_data_for_the_assessment_of_cancer_non-related_comorbidities/4727068）。