Part Ⅺ of database building: tag and structure of follow-up of colorectal cancer_CHINESE JOURNAL OF BASES AND CLINICS IN GENERAL SURGERY

Authors：

WANG Xiaodong ¹ , ZHU Jiayi ² ,  LI Li ¹

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

Corresponding author：

LI Li, Email: drlili116@126.com

Keywords：

colorectal cancer; database; big data; follow-up; tag; structure

DOI：

10.7507/1007-9424.202107120

Video：

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Abstract Full text Figures/Tables Video References Cited by

Objective To describe the constructive process of follow-up of colorectal cancer part in the Database from Colorectal Cancer (DACCA) in West China Hospital. Method The article was described in words. Results The specific concepts of follow-up of colorectal cancer including end-stage of follow-up, survival status, follow-up strategy, follow-up emphasis, follow-up plan, follow-up record using communication tools, follow-up frequency, annual follow-up times, and single follow-up record of the DACCA in the West China Hospital were defined. Then they were detailed for their definition, label, structure, error correction, and update. Conclusion Through the detailed description of the details of follow-up of colorectal cancer 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, ZHU Jiayi, LI Li. Part Ⅺ of database building: tag and structure of follow-up of colorectal cancer. CHINESE JOURNAL OF BASES AND CLINICS IN GENERAL SURGERY, 2021, 28(10): 1353-1359. doi: 10.7507/1007-9424.202107120 Copy

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4.	Smith JJ, Strombom P, Chow OS, et al. Assessment of a watch-and-wait strategy for rectal cancer in patients with a complete response after neoadjuvant therapy. JAMA Oncol, 2019, 5(4): e185896.
5.	Yang Y, Wang G, He J, et al. Gender differences in colorectal cancer survival: A meta-analysis. Int J Cancer, 2017, 141(10): 1942-1949.
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7.	胡蓉, 王晓燕, 陈春花, 等. 出院患者随访率低的调查研究及对策. 中国现代医生, 2021, 59(4): 146-149.
8.	张丽. 病案随访率的影响因素分析以及相应举措. 健康之友, 2019, (22): 291, 292.
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1. 汪晓东, 曾渝, 李立. 数据库建设第十部分: 结直肠癌辅助治疗的标签与结构化. 中国普外基础与临床杂志, 2021, 28(8): 1070-1077.
2. 汪晓东, 由屹先, 余其澳, 等. 数据库建设第九部分: 结直肠癌新辅助治疗的标签与结构化. 中国普外基础与临床杂志, 2021, 28(6): 799-804.
3. Breugom AJ, Bastiaannet E, Guren MG, et al. Treatment strategies and overall survival for incurable metastatic colorectal cancer - A EURECCA international comparison including 21, 196 patients from the Netherlands and Norway. Eur J Surg Oncol, 2020, 46(6): 1167-1173.
4. Smith JJ, Strombom P, Chow OS, et al. Assessment of a watch-and-wait strategy for rectal cancer in patients with a complete response after neoadjuvant therapy. JAMA Oncol, 2019, 5(4): e185896.
5. Yang Y, Wang G, He J, et al. Gender differences in colorectal cancer survival: A meta-analysis. Int J Cancer, 2017, 141(10): 1942-1949.
6. Li Y, Liang L, Dai W, et al. Prognostic impact of programed cell death-1 (PD-1) and PD-ligand 1 (PD-L1) expression in cancer cells and tumor infiltrating lymphocytes in colorectal cancer. Mol Cancer, 2016, 15(1): 55.
7. 胡蓉, 王晓燕, 陈春花, 等. 出院患者随访率低的调查研究及对策. 中国现代医生, 2021, 59(4): 146-149.
8. 张丽. 病案随访率的影响因素分析以及相应举措. 健康之友, 2019, (22): 291, 292.
9. Farzandipour M, Meidani Z, Nabovati E, et al. Technical requirements framework of hospital information systems: design and evaluation. BMC Med Inform Decis Mak, 2020, 20(1): 61.
10. Sakamoto N. Availability of software services for a hospital information system. Int J Med Inform, 1998, 49(1): 89-96.

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CHINESE JOURNAL OF BASES AND CLINICS IN GENERAL SURGERY

Part Ⅺ of database building: tag and structure of follow-up of colorectal cancer

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