埃德蒙顿癌症疼痛分类系统:在癌症疼痛评估和管理中具有发展潜力的工具

P. Lawlor, Niamh Lawlor, P. Reis-Pina
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引用次数: 10

摘要

摘要:癌症疼痛的治疗不足与评估不充分和不一致或不标准化的分类有关,导致未能认识到其多维性和适当的靶向治疗干预。本文综述了癌症疼痛的分类,重点介绍了埃德蒙顿癌症疼痛分类系统(ECS-CP)的逐步发展;其组成特征的适当性,相关结果及其在癌痛分类中的潜在未来发展。涵盖领域:从1989年到2017年11月的Medline搜索,使用组合术语“癌症”或“肿瘤学”,“埃德蒙顿”,“疼痛”或“镇痛”,“分期”或“分类”,确定了280条记录。共有20项研究的实证数据与ECS-CP的验证研究或其成分或拟议领域的评估有关,被选择纳入核心综述。专家评论:ECS-CP是一种进化中的工具,也是进一步癌症疼痛分类发展的有效模板。ECS-CP域的评估需要一种标准化的方法。区域评分可以告知治疗策略,并与疼痛管理结果有关,特别是稳定的疼痛控制。ECS-CP可以根据患者的疼痛和相关特征进行标准化报告,从而可以提高研究样本间比较的有效性。
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The Edmonton Classification System for Cancer Pain: a tool with potential for an evolving role in cancer pain assessment and management
ABSTRACT Introduction: Undertreatment of cancer pain is associated with inadequate assessment and inconsistent or non-standardized classification, resulting in failure to both appreciate its multidimensional nature and appropriately target therapeutic interventions. This review examines the classification of cancer pain with a focus on the progressive development of the Edmonton Classification System for Cancer Pain (ECS-CP); the appropriateness of its constituent features, associated outcomes and its potential future development in cancer pain classification. Areas covered: A Medline search from 1989 to November 2017, using combined terms ‘cancer’ or ‘oncology’, ‘Edmonton’, ‘pain’ or ‘analgesia’, and ‘staging’ or ‘classification’, identified 280 records. A total of 20 studies with empirical data relating to validation studies of the ECS-CP or evaluation of either its constituent or proposed domains were selected for inclusion in the core review. Expert commentary: The ECS-CP is a tool in evolution and a valid template for further cancer pain classification development. The assessment of ECS-CP domains requires a standardized approach. The domain ratings can inform the therapeutic strategy, and are associated with pain management outcomes, particularly stable pain control. The ECS-CP enables standardized reporting, based on patients’ pain and related characteristics, and thus may improve the validity of comparisons across research study samples.
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