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开放标签安慰剂:关于研究议程的思考

Open-Label Placebo: Reflections on a Research Agenda.

作者信息

Kaptchuk Ted J

出版信息

Perspect Biol Med. 2018;61(3):311-334. doi: 10.1353/pbm.2018.0045.

Abstract

Open-label placebos (OLP)-placebo pills honestly prescribed-have challenged the notion that placebos require either deception or concealment to evoke salubrious benefits. This essay describes how the author arrived at the counter-intuitive OLP hypothesis, discusses evidence for OLP effectiveness, and examines mechanistic explanations for OLP. Current dominant theories such as expectation and conditioning are found to be insufficient or inaccurate. The author proposes that emerging concepts of prediction and error processing (PEP), Bayesian brain, and embodied cognition are more appropriate models for understanding OLP. As a neural processing model, PEP argues that sensory predictions are embedded in and inseparable from perceptions; PEP circumvents mind-body dualism. The author discusses how OLP, mostly non-consciously, might perturb aberrant symptom amplifications and central sensitization resulting in perceptions of improvement in symptoms. Placebo effects are neurologically encoded predictions, less what patients think and more what they enact and perform.

摘要

开放标签安慰剂(OLP)——即诚实地开出的安慰剂药丸——对安慰剂需要欺骗或隐瞒才能产生有益效果这一观念提出了挑战。本文描述了作者是如何得出这一违反直觉的OLP假设的,讨论了OLP有效性的证据,并审视了对OLP的机制性解释。发现诸如期望和条件作用等当前占主导地位的理论并不充分或不准确。作者提出,新兴的预测与误差处理(PEP)、贝叶斯大脑和具身认知概念是理解OLP更合适的模型。作为一种神经处理模型,PEP认为感觉预测嵌入于感知之中且与感知不可分割;PEP规避了身心二元论。作者讨论了OLP如何在很大程度上无意识地干扰异常的症状放大和中枢敏化,从而使患者产生症状改善的感觉。安慰剂效应是神经学上编码的预测,更多地取决于患者的行为表现而非他们的想法。

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