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Updated: Jan 15, 2026

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A Protocol of Manual Tests to Measure Sensation and Pain in Humans
Published on: December 19, 2016
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在人口研究中表型化慢性疼痛和神经病痛
Ian-Ju Liang1, Dhaneesha N S Senaratne1, Blair H Smith1
1Chronic Pain Research Group, School of Medicine, University of Dundee, Dundee, Scotland, UK.
European journal of pain (London, England)
|October 8, 2025
概括
标准化慢性疼痛表型对于准确的流行病学研究至关重要. 本文提出了一个金字塔模型,用于可重复和可比的疼痛研究,改善患者的治疗结果.
科学领域:
- 流行病学 流行病学
- 疼痛研究 疼痛研究
- 生物统计学 生物统计学
背景情况:
- 慢性疼痛是一个重大的全球健康负担,影响个人和社会.
- 流行病学研究对于了解慢性疼痛的流行率和管理策略至关重要.
- 由于疼痛定义和表型方法不一致,目前的估计差异很大 (10-50%).
研究的目的:
- 讨论慢性疼痛流行病学中的表型化方法.
- 突出需要标准化,透明的案例定义,以提高研究可比性.
- 引入一个可扩展和可重现的疼痛表型的框架.
主要方法:
- 对慢性疼痛表型化方法的流行病学文献的综述.
- 从大型队列和联盟中识别成功的表型化策略.
- 使用神经病痛作为案例的金字塔模型的探索.
主要成果:
- 确定了两个主要的表型化方法:"宽而浅"和"深而窄".
- 金字塔模型为表型形成提供了一个结构化的框架.
- 现代方法整合了大样本,数据和先进的建模,以提高可比性.
结论:
- 对标准化表型的共识对于慢性疼痛研究至关重要.
- 对表型的结构化,可扩展的方法支持数据集成,可比性和复制.
- 标准化表型强化研究和临床翻译,以获得更好的患者结果.
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