Stein Madeline V, Heller Monika, Hughes Natasha, Marr Danielle, Brake Benjamin, Chapman Sarah, James Rubin G, Terhune Devin B
Department of Psychology, Institute of Psychology, Psychiatry, and Neuroscience, King's College London, London, UK.
Centre for Behavioural Medicine, UCL School of Pharmacy, London, UK.
Neurosci Biobehav Rev. 2025 May;172:106042. doi: 10.1016/j.neubiorev.2025.106042. Epub 2025 Feb 4.
Nocebo effects are a heterogenous phenomenon in which contextual cues trigger or exacerbate symptoms independently of active interventions. Suggestion, conditioning, and social observation are widely recognised as hallmark methods for inducing nocebo effects, but the extent to which nocebo effects are differentially influenced by suggestion type (e.g., direct or indirect suggestion) and mode of administration (e.g., verbal, textual, visual, etc.) across symptom domains remains unknown. We conducted a pre-registered meta-analysis (PROSPERO registration number CRD42023402097) to quantitatively synthesize available research on the factors that moderate effects in controlled nocebo experiments. Of 8469 search results, 105 experiments comprising 5017 participants and 391 effect sizes were analyzed. A multi-level meta-analysis revealed an overall moderate effect size for nocebo effects, g=0.50, [0.39, 0.62]. The magnitude of symptom expectancy effects was a significant moderator of nocebo effects. Verbal suggestion and social observation yielded moderate and comparable nocebo effects whereas technological devices, sham stimulation, and conditioning were independently associated with the induction of large nocebo effects. Greater specificity in the reporting of nocebo induction methods is required to elucidate the efficacy of different types of suggestions in inducing nocebo effects.
反安慰剂效应是一种异质性现象,其中情境线索独立于积极干预措施触发或加剧症状。暗示、条件作用和社会观察被广泛认为是诱发反安慰剂效应的标志性方法,但在不同症状领域,反安慰剂效应受暗示类型(如直接或间接暗示)和给药方式(如口头、文本、视觉等)的差异影响程度尚不清楚。我们进行了一项预先注册的荟萃分析(PROSPERO注册号CRD42023402097),以定量综合关于在对照反安慰剂实验中调节效应的因素的现有研究。在8469条搜索结果中,分析了105项实验,包括5017名参与者和391个效应量。多层次荟萃分析显示反安慰剂效应的总体效应量适中,g=0.50,[0.39, 0.62]。症状预期效应的大小是反安慰剂效应的一个显著调节因素。口头暗示和社会观察产生了中等且相当的反安慰剂效应,而技术设备、假刺激和条件作用则分别与大的反安慰剂效应的诱导相关。需要更具体地报告反安慰剂诱导方法,以阐明不同类型暗示在诱发反安慰剂效应方面的效果。