An infographic model of a database for conducting an analytical study of the long-term consequences of cervical cancer treatment

Author:

Radzishevska Ye.B.ORCID,Sukhina О.М.ORCID,Vasylyev L.Ya.ORCID,Sukhin V.S.ORCID,Nemaltsova К.V.ORCID,Solodovnikova O.O.ORCID

Abstract

Relevance. The development of ideas of critical attitude to medical information led to the concepts of evidence-based medicine (EM) in the late 1980s. The main postulates of EM are following: – every doctor’s decision must be based on scientific data; – the weight of each fact is greater, the stricter the method of scientific research in the course of which it was obtained. Correct planning of the research design and qualified statistical analysis are the most important for obtaining reliable, scientifically based results. The application of modern information technologies to arrays of catamnetic data of patients with cervical cancer (CRC) provides an opportunity to conduct a scientific study on the detection of the dependence of the appearance of oncological consequences of CRC treatment (metastases, relapses, secondary cancers) and manifestations of radiation toxicity on the clinical and biological characteristics of the patient and the features of the performed chemoradiation treatment. A necessary component of the success of such research is strict adherence to the principles of evidence-based medicine at all stages, in particular research planning. The main task at this stage is to determine the informative constitutional and biological, biometric, and social characteristics of the patient, parameters of treatment and the development of the disease in order to create a relevant informational model of the research database. The purpose of the work is to create an infological model of the catamnetic database of patients with CRC in order to determine the risk factors of local and distant metastasis and radiation toxicity during radical chemoradiation treatment of patients with CRC. Materials and methods: scientific literature with a level of evidence of primary data not lower than 2+, analysis of own experience, specialized analytical system «Database of patients». Results and discussion. An infological model of the database of catamnetic data of patients with CRC has been created, which provides the most complete representation of the subject area, contains all the entities and their attributes necessary for implementation. It is shown which parameters, factors and features of the disease should be taken into account when creating a database to obtain informationally significant results based on the accumulated data. Conclusions. The relevant informational model of the research database created in accordance with the approaches of evidence-based medicine is a necessary component for obtaining scientifically based results based on the catamnetic data of patients with CRC.

Publisher

Institute for Medical Radiology and Oncology of NAMS of Ukraine

Subject

Radiology, Nuclear Medicine and imaging,Oncology,Education,Radiological and Ultrasound Technology

Reference23 articles.

1. Vasiliev LYa, Vikman YE. Improvement of the monitoring system of breast cancer patients based on taking into account the terms of the maximum risk of distant metastasis. Ministry of Health Protection of Ukraine. Academy of Medical Sciences of Ukraine Ukrainian center of scientific medical information and patent-licensing work. Guidelines. Kyiv: 2006. 8 с. (In Ukrainian).

2. Radzishevska YB, Vasil’ev LY, Knigavko VG, Lykhovitskaya NI. Relationships of Nosological form of the Primary and Second Neoplasms in Oncological Patients. Novosti Khirurgii. 2017;25(6):613–20. (In English). DOI: https://doi.org/10.18484/2305-0047.2017.6.613

3. Vasyliev LYa, Radzishevska YB, Savchenko AS, Vygivska LA, Radzishevska YaK, Boiko OM. Results of the analysis of oncological complications of anti-tumor treatment in patients with thyroid cancer on the basis of mathematical analysis of the catamnestic data. Wiadomości Lekarskie. 2022;LXXV(2):404–9. (In English). DOI: https://doi.org/10.36740/WLek202202114

4. Regalado Porras GO, Chávez Nogueda J, Poitevin Chacón A. Chemotherapy and molecular therapy in cervical cancer. Reports of Practical Oncology and Radiotherapy. 2018;23(6):533–9. (In English). DOI: https://doi.org/10.1016/j.rpor.2018.09.002

5. Yu W, Huang L, Zhong Z, Song T, Xu H, Jia Y, Hu J, Shou H. A Nomogram-Based Risk Classification System Predicting the Overall Survival of Patients With Newly Diagnosed Stage IVB Cervix Uteri Carcinoma. Frontiers in Medicine. 2021;8:693567–9. (In English). DOI: https://doi.org/10.3389/fmed.2021.693567

Cited by 2 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3