Possible contribution of quantum-like correlations to the placebo effect: consequences on blind trials.

Q1 Mathematics
Francis Beauvais
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引用次数: 5

Abstract

Background: Factors that participate in the biological changes associated with a placebo are not completely understood. Natural evolution, mean regression, concomitant procedures and other non specific effects are well-known factors that contribute to the "placebo effect". In this article, we suggest that quantum-like correlations predicted by a probabilistic modeling could also play a role.

Results: An elementary experiment in biology or medicine comparing the biological changes associated with two placebos is modeled. The originality of this modeling is that experimenters, biological system and their interactions are described together from the standpoint of a participant who is uninvolved in the measurement process. Moreover, the small random probability fluctuations of a "real" experiment are also taken into account. If both placebos are inert (with only different labels), common sense suggests that the biological changes associated with the two placebos should be comparable. However, the consequence of this modeling is the possibility for two placebos to be associated with different outcomes due to the emergence of quantum-like correlations.

Conclusion: The association of two placebos with different outcomes is counterintuitive and this modeling could give a framework for some unexplained observations where mere placebos are compared (in some alternative medicines for example). This hypothesis can be tested in blind trials by comparing local vs. remote assessment of correlations.

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量子相关性对安慰剂效应的可能贡献:盲法试验的结果。
背景:参与与安慰剂相关的生物学变化的因素尚不完全清楚。众所周知,自然进化、平均回归、伴随手术和其他非特异性效应是导致“安慰剂效应”的因素。在本文中,我们建议通过概率模型预测的类量子相关性也可能发挥作用。结果:在生物学或医学的一个基本实验比较生物学变化与两种安慰剂相关的模型。该模型的独创性在于,实验人员、生物系统和他们之间的相互作用被从一个不参与测量过程的参与者的角度描述在一起。此外,还考虑了“真实”实验的小随机概率波动。如果两种安慰剂都是惰性的(只有不同的标签),常识表明,与两种安慰剂相关的生物学变化应该是可比的。然而,这种建模的结果是,由于量子相关性的出现,两种安慰剂可能与不同的结果相关联。结论:两种安慰剂与不同结果的关联是违反直觉的,这种模型可以为一些无法解释的观察提供一个框架,其中仅仅是安慰剂进行比较(例如在一些替代药物中)。这一假设可以在盲法试验中通过比较本地和远程相关性评估来检验。
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来源期刊
Theoretical Biology and Medical Modelling
Theoretical Biology and Medical Modelling MATHEMATICAL & COMPUTATIONAL BIOLOGY-
自引率
0.00%
发文量
0
审稿时长
6-12 weeks
期刊介绍: Theoretical Biology and Medical Modelling is an open access peer-reviewed journal adopting a broad definition of "biology" and focusing on theoretical ideas and models associated with developments in biology and medicine. Mathematicians, biologists and clinicians of various specialisms, philosophers and historians of science are all contributing to the emergence of novel concepts in an age of systems biology, bioinformatics and computer modelling. This is the field in which Theoretical Biology and Medical Modelling operates. We welcome submissions that are technically sound and offering either improved understanding in biology and medicine or progress in theory or method.
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