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.	汪曉東, 李立. 數據庫建設第一部分:個人數據的標簽與結構化. 中國普外基礎與臨床雜志, 2019, 26(3): 335-342.
2.	汪曉東, 呂炘沂, 黃明君, 等. 數據庫建設第二部分: 結直腸癌住院流程管理的標簽與結構化. 中國普外基礎與臨床雜志, 2019, 26(5): 852-855.
3.	劉健博, 呂炘沂, 鄒雨恒, 等. 多周期新輔助化療聯合阿帕替尼對進展期直腸癌的療效評價: 基于DACCA數據庫的輔助研究. 中國普外基礎與臨床雜志, 2019, 26(6): 728-734.
4.	汪曉東, 安麗珉, 李立. 數據庫研究第二部分: 結直腸癌的住院流程管理. 中國普外基礎與臨床雜志, 2019, 26(4): 469-475.
5.	汪曉東, 李希, 何欣林, 等. 數據庫研究第一部分: 區域性醫療中心的結直腸癌與人群特征. 中國普外基礎與臨床雜志, 2016, 26(2): 212-220.
6.	于瑞璇, 何欣林, 張秋露, 等. 華西DACCA的輔助研究: 單獨的新輔助化療不會影響直腸癌術后近期的肛門功能. 中國普外基礎與臨床雜志, 2019, 26(5): 595-601.
7.	汪曉東, 劉健博, 張詩, 等. 數據庫研究第三部分: 結直腸癌的內外科合并癥及術前體質狀態. 中國普外基礎與臨床雜志, 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.	陳鳳姣, 黃明君, 張小艷, 等. 營養風險篩查2002與生理生化指標聯合評估大腸癌術前營養. 華西醫學, 2011, 26(10): 1533-1535.
17.	胡艷杰, 李卡, 黃明君. 我國使用營養風險篩查2002的文獻計量學分析. 護理研究, 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. 汪曉東, 李立. 數據庫建設第一部分:個人數據的標簽與結構化. 中國普外基礎與臨床雜志, 2019, 26(3): 335-342.
2. 汪曉東, 呂炘沂, 黃明君, 等. 數據庫建設第二部分: 結直腸癌住院流程管理的標簽與結構化. 中國普外基礎與臨床雜志, 2019, 26(5): 852-855.
3. 劉健博, 呂炘沂, 鄒雨恒, 等. 多周期新輔助化療聯合阿帕替尼對進展期直腸癌的療效評價: 基于DACCA數據庫的輔助研究. 中國普外基礎與臨床雜志, 2019, 26(6): 728-734.
4. 汪曉東, 安麗珉, 李立. 數據庫研究第二部分: 結直腸癌的住院流程管理. 中國普外基礎與臨床雜志, 2019, 26(4): 469-475.
5. 汪曉東, 李希, 何欣林, 等. 數據庫研究第一部分: 區域性醫療中心的結直腸癌與人群特征. 中國普外基礎與臨床雜志, 2016, 26(2): 212-220.
6. 于瑞璇, 何欣林, 張秋露, 等. 華西DACCA的輔助研究: 單獨的新輔助化療不會影響直腸癌術后近期的肛門功能. 中國普外基礎與臨床雜志, 2019, 26(5): 595-601.
7. 汪曉東, 劉健博, 張詩, 等. 數據庫研究第三部分: 結直腸癌的內外科合并癥及術前體質狀態. 中國普外基礎與臨床雜志, 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. 陳鳳姣, 黃明君, 張小艷, 等. 營養風險篩查2002與生理生化指標聯合評估大腸癌術前營養. 華西醫學, 2011, 26(10): 1533-1535.
17. 胡艷杰, 李卡, 黃明君. 我國使用營養風險篩查2002的文獻計量學分析. 護理研究, 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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