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The Assisi Think Tank Meeting Breast Large Database for Standardized Data Collection in Breast Cancer—ATTM.BLADE

机译:ASSISI智库会议乳房大型数据库用于乳腺癌的标准数据收集 - attm.Blade

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摘要

Background: During the 2016 Assisi Think Tank Meeting (ATTM) on breast cancer, the panel of experts proposed developing a validated system, based on rapid learning health care (RLHC) principles, to standardize inter-center data collection and promote personalized treatments for breast cancer. Material and Methods: The seven-step Breast LArge DatabasE (BLADE) project included data collection, analysis, application, and evaluation on a data-sharing platform. The multidisciplinary team developed a consensus-based ontology of validated variables with over 80% agreement. This English-language ontology constituted a breast cancer library with seven knowledge domains: baseline, primary systemic therapy, surgery, adjuvant systemic therapies, radiation therapy, follow-up, and toxicity. The library was uploaded to the BLADE domain. The safety of data encryption and preservation was tested according to General Data Protection Regulation (GDPR) guidelines on data from 15 clinical charts. The system was validated on 64 patients who had undergone post-mastectomy radiation therapy. In October 2018, the BLADE system was approved by the Ethical Committee of Fondazione Policlinico Gemelli IRCCS, Rome, Italy (Protocol No. 0043996/18). Results: From June 2016 to July 2019, the multidisciplinary team completed the work plan. An ontology of 218 validated variables was uploaded to the BLADE domain. The GDPR safety test confirmed encryption and data preservation (on 5000 random cases). All validation benchmarks were met. Conclusion:BLADE is a support system for follow-up and assessment of breast cancer care. To successfully develop and validate it as the first standardized data collection system, multidisciplinary collaboration was crucial in selecting its ontology and knowledge domains. BLADE is suitable for multi-center uploading of retrospective and prospective clinical data, as it ensures anonymity and data privacy.
机译:背景:在2016年Assisi智库会议(ATTM)在乳腺癌上,专家小组提出基于快速学习保健(RLHC)原则的验证系统,以规范中心数据收集,并促进乳房的个性化治疗方法癌症。材料和方法:七步乳房大型数据库(刀片)项目包括数据共享平台上的数据收集,分析,应用和评估。多学科团队开发了一种基于共识的验证变量本体,超过80%的协议。这种英语本体构成患有七个知识域的乳腺癌库:基线,初级系统性治疗,手术,佐剂全身疗法,放射治疗,随访和毒性。图书馆上传到刀片域。根据一般数据保护规则(GDPR)关于来自15个临床图表的数据的一般数据保护规则(GDPR)指南测试了数据加密和保存的安全性。该系统验证了64名患有乳房切除后放射治疗的64名患者。 2018年10月,刀片制度由意大利罗马罗马罗马的伦理林科Gemelli Irccs伦理委员会批准(议定书号0043996/18)。结果:2016年6月至2019年7月,多学科团队完成了工作计划。将218个验证变量的本体上载到刀片域。 GDPR安全测试确认了加密和数据保存(在5000个随机情况下)。所有验证基准都满足。结论:刀片是一种用于后续和评估乳腺癌护理的支持系统。要成功开发和验证它作为第一个标准化数据收集系统,多学科协作对于选择本体和知识域来说至关重要。刀片适用于多中心上传的回顾性和预期临床数据,因为它确保了匿名和数据隐私。

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