Part Ⅲ of database building: tag and structure of comorbidities and preoperative physical status of colorectal cancer_CHINESE JOURNAL OF BASES AND CLINICS IN GENERAL SURGERY

Authors：

WANG Xiaodong ¹ , LIU Jianbo ^1,2 ,  LI Li ¹

1. Department of Gastrointestinal Surgery, West China Hospital, Sichuan University, Chengdu 610041, P. R. China;
2. West China School of Medicine, Sichuan University, Chengdu 610041, P. R. China;

Corresponding author：

LI Li, Email: drlili116@126.com

Keywords：

colorectal cancer; database; big data; comorbidity; physical status; tag; structure

DOI：

10.7507/1007-9424.201907113

Video：

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Objective To explain surgical and medical comorbidities and preoperative physical status of colorectal cancer in detail as well as their tags and structures of Database from Colorectal Cancer (DACCA) in West China Hospital.Method The article was described in words.Results The definition to the surgical comorbidities with its related content module, the medical comorbidity with its related content modules, and the preoperative physical status and characteristics of the DACCA in West China Hospital were given. The data label corresponding to each item in the database and the structured way needed for the big data application stage in detail were explained. And the error correction notes for all classification items were described.Conclusions Through the detailed description of the medical and surgical comorbidities and the preoperative physical status of DACCA in West China Hospital, it provides the standard and basis for the clinical application of DACCA in the future, and provides reference for other peers who wish to build a colorectal cancer database.

Citation： WANG Xiaodong, LIU Jianbo, LI Li. Part Ⅲ of database building: tag and structure of comorbidities and preoperative physical status of colorectal cancer. CHINESE JOURNAL OF BASES AND CLINICS IN GENERAL SURGERY, 2019, 26(9): 1110-1115. doi: 10.7507/1007-9424.201907113 Copy

1.	汪晓东, 李立. 数据库建设第一部分:个人数据的标签与结构化. 中国普外基础与临床杂志, 2019, 26(3): 335-342.
2.	汪晓东, 吕炘沂, 黄明君, 等. 数据库建设第二部分: 结直肠癌住院流程管理的标签与结构化. 中国普外基础与临床杂志, 2019, 26(5): 852-855.
3.	刘健博, 吕炘沂, 邹雨恒, 等. 多周期新辅助化疗联合阿帕替尼对进展期直肠癌的疗效评价: 基于DACCA数据库的辅助研究. 中国普外基础与临床杂志, 2019, 26(6): 728-734.
4.	汪晓东, 安丽珉, 李立. 数据库研究第二部分: 结直肠癌的住院流程管理. 中国普外基础与临床杂志, 2019, 26(4): 469-475.
5.	汪晓东, 李希, 何欣林, 等. 数据库研究第一部分: 区域性医疗中心的结直肠癌与人群特征. 中国普外基础与临床杂志, 2016, 26(2): 212-220.
6.	于瑞璇, 何欣林, 张秋露, 等. 华西DACCA的辅助研究: 单独的新辅助化疗不会影响直肠癌术后近期的肛门功能. 中国普外基础与临床杂志, 2019, 26(5): 595-601.
7.	汪晓东, 刘健博, 张诗, 等. 数据库研究第三部分: 结直肠癌的内外科合并症及术前体质状态. 中国普外基础与临床杂志, 2019, 26(8): 985-991.
8.	Zhang Y P, Genkin D, Katz J, et al. vSQL: Verifying arbitrary SQL queries over dynamic outsourced databases. 2017 Ieee Symposium on Security and Privacy. New York: Ieee, 2017: 863-880.
9.	No authors listed. ICD-10: there's a code for that. Lancet, 2015, 386(10002): 1420.
10.	Tsoris A, Marlar CA. Use of the Child-Pugh score in liver disease. StatPearls, Treasure Island (FL): StatPearls Publishing LLC, 2019.
11.	Akbari A, Clase CM, Acott P, et al. Canadian Society of Nephrology commentary on the KDIGO clinical practice guideline for CKD evaluation and management. Am J Kidney Dis, 2015, 65(2): 177-205.
12.	Laszlo G. Standardisation of lung function testing: helpful guidance from the ATS/ERS Task Force. Thorax, 2006, 61(9): 744-746.
13.	Bredy C, Ministeri M, Kempny A, et al. New York Heart Association (NYHA) classification in adults with congenital heart disease: relation to objective measures of exercise and outcome. Eur Heart J Qual Care Clin Outcomes, 2018, 4(1): 51-58.
14.	Wang Y, Zheng J, Gao Z, et al. Investigation on nutritional risk assessment and nutritional support status of surgical patients with colorectal cancer. J BUON, 2018, 23(1): 62-67.
15.	Reischl S, Wilhelm DF, Neumann PA, et al. Peri- and postoperative nutrition in colorectal cancer patients. Ther Umsch, 2018, 75(10): 642-648.
16.	陈凤姣, 黄明君, 张小艳, 等. 营养风险筛查2002与生理生化指标联合评估大肠癌术前营养. 华西医学, 2011, 26(10): 1533-1535.
17.	胡艳杰, 李卡, 黄明君. 我国使用营养风险筛查2002的文献计量学分析. 护理研究, 2014, 28(22): 2813-2815.
18.	Yoshimatsu K, Sagawa M, Yokomizo H, et al. A prognostic factor based on inflammation, nutrition, and immune status for fstage Ⅱ/Ⅲ colorectal cancer. Gan To Kagaku Ryoho, 2017, 44(10): 906-908.
19.	Shibutani M, Maeda K, Nagahara H, et al. A comparison of the local immune status between the primary and metastatic tumor in colorectal cancer: a retrospective study. BMC Cancer, 2018, 18(1): 371.
20.	Galon J, Costes A, Sanchez-Cabo F, et al. Type, density, and location of immune cells within human colorectal tumors predict clinical outcome. Science, 2006, 313(5795): 1960-1964.

1. 汪晓东, 李立. 数据库建设第一部分:个人数据的标签与结构化. 中国普外基础与临床杂志, 2019, 26(3): 335-342.
2. 汪晓东, 吕炘沂, 黄明君, 等. 数据库建设第二部分: 结直肠癌住院流程管理的标签与结构化. 中国普外基础与临床杂志, 2019, 26(5): 852-855.
3. 刘健博, 吕炘沂, 邹雨恒, 等. 多周期新辅助化疗联合阿帕替尼对进展期直肠癌的疗效评价: 基于DACCA数据库的辅助研究. 中国普外基础与临床杂志, 2019, 26(6): 728-734.
4. 汪晓东, 安丽珉, 李立. 数据库研究第二部分: 结直肠癌的住院流程管理. 中国普外基础与临床杂志, 2019, 26(4): 469-475.
5. 汪晓东, 李希, 何欣林, 等. 数据库研究第一部分: 区域性医疗中心的结直肠癌与人群特征. 中国普外基础与临床杂志, 2016, 26(2): 212-220.
6. 于瑞璇, 何欣林, 张秋露, 等. 华西DACCA的辅助研究: 单独的新辅助化疗不会影响直肠癌术后近期的肛门功能. 中国普外基础与临床杂志, 2019, 26(5): 595-601.
7. 汪晓东, 刘健博, 张诗, 等. 数据库研究第三部分: 结直肠癌的内外科合并症及术前体质状态. 中国普外基础与临床杂志, 2019, 26(8): 985-991.
8. Zhang Y P, Genkin D, Katz J, et al. vSQL: Verifying arbitrary SQL queries over dynamic outsourced databases. 2017 Ieee Symposium on Security and Privacy. New York: Ieee, 2017: 863-880.
9. No authors listed. ICD-10: there's a code for that. Lancet, 2015, 386(10002): 1420.
10. Tsoris A, Marlar CA. Use of the Child-Pugh score in liver disease. StatPearls, Treasure Island (FL): StatPearls Publishing LLC, 2019.
11. Akbari A, Clase CM, Acott P, et al. Canadian Society of Nephrology commentary on the KDIGO clinical practice guideline for CKD evaluation and management. Am J Kidney Dis, 2015, 65(2): 177-205.
12. Laszlo G. Standardisation of lung function testing: helpful guidance from the ATS/ERS Task Force. Thorax, 2006, 61(9): 744-746.
13. Bredy C, Ministeri M, Kempny A, et al. New York Heart Association (NYHA) classification in adults with congenital heart disease: relation to objective measures of exercise and outcome. Eur Heart J Qual Care Clin Outcomes, 2018, 4(1): 51-58.
14. Wang Y, Zheng J, Gao Z, et al. Investigation on nutritional risk assessment and nutritional support status of surgical patients with colorectal cancer. J BUON, 2018, 23(1): 62-67.
15. Reischl S, Wilhelm DF, Neumann PA, et al. Peri- and postoperative nutrition in colorectal cancer patients. Ther Umsch, 2018, 75(10): 642-648.
16. 陈凤姣, 黄明君, 张小艳, 等. 营养风险筛查2002与生理生化指标联合评估大肠癌术前营养. 华西医学, 2011, 26(10): 1533-1535.
17. 胡艳杰, 李卡, 黄明君. 我国使用营养风险筛查2002的文献计量学分析. 护理研究, 2014, 28(22): 2813-2815.
18. Yoshimatsu K, Sagawa M, Yokomizo H, et al. A prognostic factor based on inflammation, nutrition, and immune status for fstage Ⅱ/Ⅲ colorectal cancer. Gan To Kagaku Ryoho, 2017, 44(10): 906-908.
19. Shibutani M, Maeda K, Nagahara H, et al. A comparison of the local immune status between the primary and metastatic tumor in colorectal cancer: a retrospective study. BMC Cancer, 2018, 18(1): 371.
20. Galon J, Costes A, Sanchez-Cabo F, et al. Type, density, and location of immune cells within human colorectal tumors predict clinical outcome. Science, 2006, 313(5795): 1960-1964.

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Part Ⅲ of database building: tag and structure of comorbidities and preoperative physical status of colorectal cancer

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