| Author (Year) | Study Type | Mechanism and Effect Placebo | Population | Outcomes and Limitations |
| Benedetti et al. (2005) [140] | Narrative review | Neurobiological mechanisms of placebo effect | General population | Outcomes: |
| Identified several neurobiological mechanisms underlying placebo effects. | ||||
| Highlighted the role of opioid and non-opioid neurotransmitter systems in placebo analgesia. | ||||
| Described how placebo effects can modulate various physiological systems beyond pain, including motor performance and immune responses. | ||||
| Limitations: | ||||
| The complexity of placebo mechanisms makes it challenging to isolate specific factors. | ||||
| Many studies cited were conducted in experimental settings, which may not fully reflect clinical realities. | ||||
| The review doesn’t address potential differences in placebo mechanisms across different medical conditions or populations. | ||||
| Eippert (2009) [88] | Experimental | Descending modulation mechanisms in placebo analgesia | Healthy volunteers | Outcomes: |
| Placebo analgesia is associated with increased activity in the dorsolateral prefrontal cortex, rostral anterior cingulate cortex, and periaqueductal gray matter. | ||||
| This activation was reversed by the opioid antagonist naloxone, indicating the involvement of endogenous opioids. | ||||
| The study provided indirect evidence that opioidergic descending pain control circuits underlie placebo analgesia. | ||||
| Limitations: | ||||
| Relatively small sample size. | ||||
| The study was conducted on healthy volunteers, which may limit generalizability to clinical pain conditions. | ||||
| The use of experimental pain may not fully reflect chronic pain experiences. | ||||
| The study focused on short-term effects and did not address long-term placebo responses. | ||||
| Schweinhardt et al. (2009) [89] | Experimental | Placebo analgesia and personality traits | Healthy volunteers | Outcomes: |
| The study suggests that the anatomy of the mesolimbic reward system may predispose individuals to placebo analgesia. | ||||
| Found a correlation between placebo analgesic responses and gray matter density in the mesolimbic reward system: ventral striatum, insula, and medial prefrontal cortex. | ||||
| Identified a link between placebo analgesia and personality traits: ego-resiliency and straightforwardness. | ||||
| Limitations: | ||||
| Small sample size limits generalizability. | ||||
| The study was conducted on healthy volunteers, which may not reflect responses in clinical pain populations. | ||||
| The correlational nature of the findings limits causal inferences. | ||||
| The study focused on brain structure rather than function, which may not capture the full complexity of placebo responses. | ||||
| Hróbjartsson, Gøtzsche (2010) [91] | Systematic review and meta-analysis | Placebo interventions for all clinical conditions | Patients with various clinical conditions | Outcomes: |
| Found no evidence that placebo interventions have important clinical effects in general. | ||||
| Possible small benefits in studies with continuous subjective outcomes and for the treatment of pain. | ||||
| In general, no significant effects outcomes. | ||||
| Limitations: | ||||
| High heterogeneity among studies. | ||||
| Difficulty in distinguishing genuine placebo effects from bias. | ||||
| Lack of data on harms of placebo interventions. | ||||
| Stein et al. (2012) [146] | Experimental | White matter integrity and placebo analgesia | Healthy volunteers | Outcomes: |
| Found that white matter integrity of the descending pain modulatory system, particularly in the dorsolateral prefrontal cortex and rostral anterior cingulate cortex, predicted individual differences in placebo analgesia. | ||||
| Suggests a neuroanatomical basis for variability in placebo responses. | ||||
| Limitations: | ||||
| Small sample size. | ||||
| Study conducted on healthy volunteers, limiting generalizability to clinical populations. | ||||
| Focus on acute experimental pain may not reflect chronic pain conditions. | ||||
| Amanzio (2013) [142] | Meta-analysis | Brain connectivity in placebo analgesia | Healthy volunteers | Outcomes: |
| Identified consistent activation patterns associated with placebo analgesia, including in the rCCA, CPFDL, and PAG. | ||||
| Deactivation was observed in areas processing pain. | ||||
| The study supports the involvement of opioid and non-opioid mechanisms in placebo analgesia. | ||||
| Limitations: | ||||
| Focus on experimental pain in healthy volunteers may limit generalizability to clinical pain. | ||||
| Heterogeneity in study designs and analysis methods across included studies. | ||||
| The meta-analysis was based on a relatively small number of neuroimaging studies | ||||
| Atlas, Wager (2014) [141] | Meta-analysis | Placebo analgesia and expectancy-based pain modulation | Healthy volunteers | Outcomes: |
| Consistent placebo-induced reductions in pain-related brain regions (dorsal anterior cingulate, thalamus, insula, amygdala, striatum) | ||||
| Increased activation in prefrontal cortex, midbrain, and rCCA. | ||||
| Suggests placebo effects impact both pain processing and emotion/value systems. | ||||
| Limitations: | ||||
| Variability in experimental designs across studies. | ||||
| Focus on contrasts rather than correlations with behavior. | ||||
| Limited ability to determine causal mechanisms. | ||||
| Büchel (2014) [145] | Perspective/Review | Placebo hypoalgesia and predictive coding | N/A (Not applicable) | Outcomes: |
| Proposes a hierarchical Bayesian framework based on predictive coding to explain placebo hypoalgesia. | ||||
| Suggests that placebo hypoalgesia results from combining top-down prior expectations with bottom-up sensory signals. | ||||
| Emphasizes the importance of both the mean and precision of predictions and sensory signals. | ||||
| Reframes the ascending and descending pain systems as a recurrent system implementing predictive coding. | ||||
| Limitations: | ||||
| Conceptual framework, not an empirical study. | ||||
| Focuses only on acute pain in healthy individuals. | ||||
| Precise neurobiological implementation of the model remains speculative. | ||||
| Colloca (2014) [78] | Narrative review | Placebo and nocebo responses in pain management | General population | Outcomes: |
| The paper synthesizes mechanisms behind placebo and nocebo effects, particularly in pain management, highlighting the role of cognitive, emotional, and contextual factors in modulating pain perception. | ||||
| Neurobiological pathways (e.g., endogenous opioids, dopamine) are explored. | ||||
| Limitations: | ||||
| The study is a synthesis, lacking direct empirical data. | ||||
| It heavily relies on secondary sources, which may introduce bias in interpretation. | ||||
| The generalizability of findings across diverse clinical scenarios remains uncertain. | ||||
| Peciña, Zubieta (2014) [139] | Narrative review | Molecular mechanisms of placebo responses in humans | Patients with various clinical conditions | Outcomes: |
| The study investigates the role of the μ-opioid receptor system in mediating placebo analgesia. | ||||
| It identifies specific neurobiological pathways, showing that placebo effects are influenced by the brain’s pain and reward modulation systems. | ||||
| The interaction between dopamine and opioid pathways is highlighted in placebo responses. | ||||
| Limitations: | ||||
| This is a review paper, so it is based on secondary data and may be biased. | ||||
| Further research is needed to explore these mechanisms in diverse clinical populations. | ||||
| Wager, Atlas (2015) [94] | Review | Neuroscience of placebo effects, focusing on context, learning, and health | General population | Outcomes: |
| The review explores neural mechanisms of placebo effects, highlighting the role of the prefrontal cortex, endogenous opioid and dopamine pathways, and the influence of learning and context on treatment outcomes. | ||||
| Limitations: | ||||
| Lacks new empirical data and focuses broadly on neuroscience, limiting its applicability to specific clinical contexts like musculoskeletal care. | ||||
| Further research is needed to validate these mechanisms in diverse settings. | ||||
| Cerritelli (2016) [132] | Systematic Review | Placebo/sham therapy in osteopathy | Healthy population and population with different clinical conditions. | Outcomes: |
| Evaluation of the application of placebo and sham therapies in osteopathic clinical trials. | ||||
| The lack of standardized methods and variability in sham approaches across studies are highlighted. | ||||
| High heterogeneity in the design of placebo controls, making clear conclusions on the effectiveness of sham therapies difficult. | ||||
| Limitations: | ||||
| High risk of bias in studies, particularly in allocation, blinding and selective reporting. | ||||
| Variation in sham therapy methodologies and insufficient reported information make it difficult to assess placebo effects in osteopathy. | ||||
| A quantitative analysis could not be performed due to these methodological limitations. | ||||
| The article highlights the need to develop standardized guidelines for placebo controls in manual medicine trials. | ||||
| Testa, Rossettini (2016) [83] | Narrative review | Placebo and nocebo effects in physiotherapy | General population undergoing physiotherapy | Outcomes: |
| The review examines the neurobiology of placebo and nocebo effects in physiotherapy. | ||||
| It highlights the role of contextual factors, such as the physiotherapist’s and patient’s characteristics, the therapist–patient relationship, and the healthcare environment. | ||||
| Contextual factors are identified as key modulators of clinical outcomes. | ||||
| Focus is placed on enhancing placebo effects and minimizing nocebo effects in physiotherapy treatments. | ||||
| Limitations: | ||||
| The review is a narrative synthesis, relying on existing literature without new empirical data. | ||||
| It centers on general placebo and nocebo concepts but lacks specific experimental evidence. | ||||
| The clinical applicability of the discussed effects in physiotherapy remains unvalidated through direct experimentation. | ||||
| Ashar (2017) [92] | Narrative review | Placebo mechanisms and affective appraisal | Not specified | Outcomes: |
| This review provides an overview of the placebo effect and its underlying brain mechanisms, particularly how appraisals of treatments influence outcomes. | ||||
| It identifies how placebo treatments, including those for pain, engage a core network of brain regions associated with self-evaluation, emotion, and reward processing, within the default mode network. | ||||
| The review emphasizes that placebo effects work by modifying how people evaluate their symptoms and future well-being. | ||||
| Limitations: | ||||
| The review does not introduce new empirical data or clinical trials. | ||||
| The generality of the findings, based on cognitive and neural appraisals, limits its direct applicability to specific clinical conditions or populations. | ||||
| Beedie et al. (2018) [93] | Editorial | The role of placebo effects in CAM use in sports medicine and physiotherapy | Athletes and practitioners (elite and non-elite) | Outcomes: |
| This review discusses the role of placebo and nocebo effects in complementary and alternative medicine (CAM) in sports medicine, emphasizing the complexity and variability of placebo effects. | ||||
| It presents placebo mechanisms like dopamine and opioid systems. | ||||
| Highlights challenges in using placebo effects to legitimize CAM, including variability, negative placebo effects (nocebo), and ethical concerns around deception. | ||||
| Suggests “headroom” mechanisms: the capacity to respond to placebos could indicate reserve capacity for legitimate treatments. | ||||
| Limitations: | ||||
| The review is based on existing literature and lacks original empirical data. | ||||
| Limited to placebo mechanisms, not addressing the full spectrum of CAM effects or evidence. | ||||
| Caveats in using placebo mechanisms for CAM are not fully explored, especially with regards to practical application in sports physiotherapy. | ||||
| Some recommendations may not be directly applicable across all CAM practices. | ||||
| Blasini et al. (2018) [82] | Narrative review | The role of patient-practitioner relationships in placebo and nocebo phenomena | Pain patients (general clinical setting) | Outcomes: |
| Identifies the biopsychosocial factors influencing placebo and nocebo effects in the patient-practitioner relationship. | ||||
| Emphasizes the role of expectancies and contextual factors (verbal suggestions, conditioning, and social observation) in shaping therapeutic outcomes. | ||||
| Found that macro (cultural, societal) and micro (individual psychobiological traits) factors influence expectancies. | ||||
| Empathy, friendliness, and competence of the practitioner enhance positive expectancies and placebo effects. | ||||
| Patient-practitioner caring and warm interactions improve the therapeutic experience, particularly for pain patients. | ||||
| Limitations: | ||||
| The review is based on existing literature without new empirical data. | ||||
| Focuses on theoretical models, lacking direct experimental evidence in the clinical setting. | ||||
| Subjective interpretations and lack of systematic analysis may reduce generalizability of findings across different clinical populations. | ||||
| The review does not provide concrete guidelines for integrating these findings into clinical practice. | ||||
| Cai, He (2019) [137] | Narrative review | Placebo effects and molecular biological components involved | General clinical setting | Outcomes: |
| Summarizes the history and characteristics of placebo effects. | ||||
| Identifies key molecular components involved in placebo effects, including the dopamine, opioid, serotonin, and endocannabinoid systems. | ||||
| Introduces the concept of placebome, aiming to understand the genetic and molecular basis of placebo effects. | ||||
| Discusses placebome studies and the need for no-treatment control (NTC) to identify genetic targets. | ||||
| Limitations: | ||||
| The placebome concept is still in its early stages. | ||||
| Lacks experimental data and new empirical findings. | ||||
| No clinical trials were included to test the molecular findings in real clinical settings. | ||||
| Emphasizes theoretical bioinformatics analysis rather than practical evidence in the clinical context. | ||||
| Need for NTC-controlled placebo studies to validate results and further explore the genetic targets related to placebo effects. | ||||
| Anderson, Stebbins (2020) [80] | Narrative review | Determinants of placebo effects and responses | General clinical and research settings | Outcomes: |
| Explores intrinsic factors influencing placebo responses, including patient expectations, previous experiences, neural systems under treatment, personality traits, and situational factors. | ||||
| Identifies clinician determinants, such as empathy, perceived expertise, clinical relationship quality, and belief in treatment efficacy. | ||||
| Analyzes extrinsic factors, such as study design, advertising, branding, and cultural influences, highlighting their combined impact on placebo effects. | ||||
| Limitations: | ||||
| Provides a theoretical framework without new empirical evidence. | ||||
| Focuses on general determinants of placebo effects rather than specific contexts, such as musculoskeletal care. | ||||
| Does not evaluate how identified factors quantitatively influence placebo responses in clinical practice or research. | ||||
| Crawford et al. (2021) [144] | Experimental study | Brainstem mechanisms involved in placebo analgesia and nocebo hyperalgesia | Healthy volunteers | Outcomes: |
| Found altered activity in key pain modulatory brainstem nuclei during placebo and nocebo responses. | ||||
| Identified distinct recruitment of the PAG-RVM pathway during greater placebo analgesia and nocebo hyperalgesia. | ||||
| Demonstrated differential activation of the parabrachial nucleus and overlapping activation in the substantia nigra and locus coeruleus for both effects. | ||||
| Suggests that the PAG-RVM pathway influences pain modulation at the level of the dorsal horn. | ||||
| Limitations: | ||||
| Small sample size (N = 25) limits generalizability of findings. Study focuses on acute experimental pain, reducing relevance to chronic pain scenarios. | ||||
| Deceptive conditioning may introduce variability in participants’ responses. | ||||
| Findings are correlational, limiting causal inference about brainstem circuitry and pain modulation. | ||||
| Shi et al. (2021) [79] | Experimental study | Placebo and nocebo responses in acute lower back pain (ALBP) | Healthy volunteers | Outcomes: |
| Significant differences in VAS pain scores observed for placebo and nocebo interventions compared to baseline and between placebo and nocebo groups. | ||||
| Placebo network involves negative lagged-temporal correlation between the DLPFC, secondary somatosensory cortex, ACC, and IC. | ||||
| Positive correlations were found between IC, thalamus, ACC, and SMA. | ||||
| Nocebo network includes positive correlations among primary somatosensory cortex, caudate, DLPFC, and SMA. | ||||
| Placebo response engages the reward system, inhibits the pain network, and activates opioid-mediated analgesia and emotion pathways. | ||||
| Nocebo response deactivates emotional control and primarily engages pain-related pathways. | ||||
| Verified that placebo and nocebo networks share brain regions but also have distinct features. | ||||
| Limitations: | ||||
| Small sample size (N = 20) limits the generalizability of findings. | ||||
| Study was conducted in healthy individuals, which may not reflect responses in clinical populations with chronic pain. | ||||
| Correlational nature of findings limits causal interpretations. | ||||
| fMRI-based GCA may be influenced by methodological biases, such as signal variability and lag-time estimation. | ||||
| Thomson et al. (2021) [95] | Editorial/review | Exploration of contextual factors (CFs) in osteopathy and musculoskeletal care | N/A | Outcomes: |
| Highlights the critical role of contextual factors such as clinician habits, patient expectations, therapeutic relationships, and treatment environments in shaping clinical outcomes. | ||||
| Suggests CFs influence outcomes via placebo and nocebo effects. | ||||
| Discusses the lack of CF awareness in osteopathic education and its implications for enhancing patient outcomes. | ||||
| Proposes research directions for better integration and evaluation of CFs in osteopathy and healthcare. | ||||
| Limitations: | ||||
| The study is narrative and does not include new empirical data or quantitative analysis. | ||||
| Limited generalizability due to its focus on osteopathy, though findings may apply broadly. | ||||
| Recommendations are theoretical and require further research validation through robust empirical methods. | ||||
| Does not specify direct evidence linking CF manipulation to improved outcomes in osteopathy. | ||||
| Zunhammer et al. (2021) [148] | Systematic meta-analysis | Neural systems and brain mechanisms underlying placebo analgesia, based on experimental fMRI studies | Healthy volunteers | Outcomes: |
| Identifies placebo analgesia as a multifaceted phenomenon involving multiple brain areas, including ventral attention networks (mid-insula), somatomotor networks (posterior insula), thalamus, habenula, mid-cingulate cortex, and supplementary motor area. | ||||
| Behavioral placebo analgesia correlates with reduced pain-related activity and increased frontoparietal activity, highlighting mechanisms of nociception, affect, and decision-making in pain. | ||||
| Significant between-study heterogeneity suggests variability in cerebral mechanisms across studies. | ||||
| Limitations: | ||||
| High between-study heterogeneity limits the ability to generalize findings across placebo analgesia contexts. | ||||
| Focuses on healthy participants; results may not directly translate to clinical populations with chronic pain. | ||||
| While robust at the neural level, behavioral and psychological interpretations of findings are limited. | ||||
| Excluded eight eligible studies due to lack of participant-level data, potentially introducing selection bias. | ||||
| Bieniek, Bąbel (2023) [86] | Experimental study | Placebo hypoalgesia induced through operant conditioning using verbal, social, and token-based rewards and punishers | Healthy volunteers | Outcomes: |
| Placebo hypoalgesia was successfully induced in groups with social and token-based reinforcement, but not with verbal reinforcement alone. | ||||
| Expectations of pain mediated the hypoalgesic effect, suggesting cognitive involvement. | ||||
| The number of reinforcers received predicted the magnitude of hypoalgesia, highlighting the role of conditioning intensity. | ||||
| Findings suggest token-based and social consequences may optimize pain management interventions. | ||||
| Limitations: | ||||
| Focused on healthy participants, limiting generalizability to clinical populations with chronic pain. | ||||
| Did not evaluate the long-term stability of placebo hypoalgesia effects. | ||||
| The study lacked diversity in participant demographics, potentially influencing the broader applicability of findings. | ||||
| While results highlight conditioning effects, their translation to clinical practice requires further investigation. | ||||
| Testa et al. (2023) [84] | Book chapter/review | Management of cognitive, relational, and environmental contextual factors to optimize placebo effects and minimize nocebo effects in clinical practice | General population | Outcomes: |
| Contextual factors, including beliefs, expectations, and therapeutic relationships, significantly enhance the outcomes of evidence-based treatments. | ||||
| Effective management of negative mindsets through empathic relationships can improve patient experience. | ||||
| Clinician’s attitude and skills in addressing contextual effects add measurable value to the therapeutic process. | ||||
| Limitations: | ||||
| The review provides theoretical guidance but lacks empirical validation of specific strategies for managing contextual factors. | ||||
| Generalized conclusions may not apply across all patient populations or clinical settings. | ||||
| Limited discussion of practical implementation challenges in clinical practice. | ||||
| Colloca et al. (2023) [85] | Book chapter/review | Cultural influences on placebo and nocebo responses, including beliefs, rituals, and healthcare relationships | General population | Outcomes: |
| Cultural beliefs, norms, and values shape treatment expectations and responses to placebo and nocebo effects. | ||||
| Physical and aesthetic preferences, influenced by culture, affect the perceived efficacy of treatments. | ||||
| Spiritual and religious beliefs impact coping strategies and treatment responses. | ||||
| Rituals and healthcare provider-patient dynamics (e.g., verbal and nonverbal cues) are critical in shaping placebo/nocebo responses. | ||||
| Limitations: | ||||
| The review is theoretical and lacks empirical data directly validating the role of cultural factors in placebo/nocebo responses. | ||||
| Generalizations are based on broad cultural concepts, which may not capture specific individual or subgroup variations. | ||||
| Limited exploration of how cultural factors interact with biological or psychological mechanisms. | ||||
| Crawford et al. (2023) [144] | Experimental study | Brain mechanisms of placebo analgesia | Healthy volunteers | Outcomes: |
| No significant differences in gamma-aminobutyric acid (GABA) or other metabolites between placebo responders and non-responders in the right DLPFC. | ||||
| Identified an inverse relationship between glutamate levels and pain rating variability during conditioning. | ||||
| Demonstrated altered functional connectivity between the DLPFC and midbrain periaqueductal gray (PAG) during placebo analgesia. | ||||
| Highlighted the role of the DLPFC in shaping stimulus-response relationships during conditioning. | ||||
| Limitations: | ||||
| The study was conducted on healthy individuals, limiting its applicability to clinical populations. | ||||
| The small sample size (38 participants) reduces the generalizability of findings. | ||||
| The study focuses only on acute pain scenarios, limiting its relevance to chronic pain contexts. | ||||
| Correlational nature of findings does not establish causation between DLPFC activity and placebo response. | ||||
| Hartmann et al. (2023) [81] | Experimental study | Empathy-related psychological and structural brain differences between placebo analgesia responders and non-responders | Healthy volunteers | Outcomes: |
| Placebo analgesia responders exhibited higher helping behavior and lower psychopathic traits compared to non-responders. | ||||
| Responders showed greater pain-related empathic concern. | ||||
| Structural brain differences: non-responders had increased gray matter volume in areas like the left inferior temporal and parietal supramarginal cortical regions and increased cortical surface area in the bilateral middle temporal cortex. | ||||
| Limitations: | ||||
| Uncorrected results in some analyses may lead to overestimated conclusions. | ||||
| Focus on a relatively narrow trait-based classification (e.g., empathy, psychopathy) without comprehensive exploration of other individual differences. | ||||
| Study paradigm and setting could influence outcomes, suggesting that contextual factors were not fully controlled for. | ||||
| Meeuwis et al. (2023) [87] | Systematic Review and Meta-analysis | The effect of observational learning on placebo hypoalgesia and nocebo hyperalgesia | Healthy volunteers | Outcomes: |
| Invest Observational learning (OL) had a small-to-medium effect on pain ratings (SMD = 0.44). | ||||
| - OL had a large effect on pain expectancy (SMD = 1.11). | ||||
| Empathic concern of the observer was positively correlated with the magnitude of placebo/nocebo effects (r = 0.14). | ||||
| Type of observation (in-person vs. videotaped) influenced the effect size (p < 0.01). | ||||
| Limitations: | ||||
| Moderate heterogeneity across studies. | ||||
| No clear clinical application of findings in chronic pain populations. | ||||
| Lack of placebo type modulation in the results (p = 0.23), suggesting further research is needed to clarify its role. | ||||
| Limited exploration of other empathy-related factors beyond empathic concern. | ||||
| Rossettini et al. (2023) [138] | State of the art review | Overview of placebo and nocebo effects in experimental and chronic pain | Healthy volunteers and chronic pain patients | Outcomes: |
| Strong evidence that placebo and nocebo effects are influenced by the psychosocial context. | ||||
| Psychological mechanisms and neurobiological/genetic determinants of placebo and nocebo effects are detailed. | ||||
| Differences in the occurrence of these effects between experimental settings (healthy participants) and clinical settings (chronic pain patients). | ||||
| Emphasizes the heterogeneity of pain in chronic patients affecting the magnitude of these effects. | ||||
| Limitations: | ||||
| Heterogeneity of pain in chronic patients makes results difficult to generalize. | ||||
| No unified results on the magnitude and occurrence of placebo/nocebo effects in chronic pain patients. | ||||
| Lacks specific experimental data to validate the proposed mechanisms in clinical settings. | ||||
| Calls for future research to address these gaps and improve the understanding of contextual factors. | ||||
| Caliskan et al. (2024) [97] | Clinical update Review | Focus on treatment expectations, placebo/nocebo effects, and contextual factors | Patients in clinical settings, with an emphasis on pain management | Outcomes: |
| Treatment expectations significantly influence treatment outcomes, acting as powerful modulators of health outcomes. | ||||
| Contextual factors that modify expectations can improve therapy success. | ||||
| Placebo analgesia and nocebo hyperalgesia are key mechanisms in the management of pain, with the expectations contributing to the overall treatment success. | ||||
| Further research is needed to personalize treatment strategies based on individual patient expectations. | ||||
| Limitations: | ||||
| The article is a clinical update and relies on existing evidence, with limited experimental data. | ||||
| It discusses variability in placebo/nocebo responses but does not identify clear predictors for individual responses. | ||||
| Calls for future research to explore personalized approaches to modulating treatment expectations. | ||||
| Does not address all clinical conditions in depth beyond pain. | ||||
| Pedersen et al. (2024) [96] | Systematic review and meta-analysis | Focus on placebo effects, specific treatment effects, and changes observed without treatment in interventions for chronic nonspecific low back pain (NSLBP) | Adults with chronic nonspecific low back pain (NSLBP) | Outcomes: |
| Approximately half of the overall treatment effect in conservative interventions for chronic NSLBP is attributed to changes observed without treatment, with smaller contributions from specific treatment and placebo effects. | ||||
| For pain intensity, 33% is attributed to specific treatment effects, 18% to placebo effects, and 49% to no-treatment changes. | ||||
| For physical function and HRQoL, 53% and 48% of the effect, respectively, is due to no treatment changes. | ||||
| Limitations: | ||||
| Low certainty of evidence, suggesting that the true effects might differ significantly from the reported estimates. | ||||
| The study is focused on conservative and passive interventions, which limits the applicability to other treatment types. | ||||
| The findings are based on short-term treatment effects and may not reflect long-term outcomes. | ||||
| Saueressig et al. (2024) [46] | Review and methodological analysis | Focus on the methods used to quantify contextual effects in clinical care, particularly in placebo-controlled studies | N/A | Outcomes: |
| The study critiques existing methods for quantifying contextual effects and proposes that the most effective method is comparing a placebo group with a non-treated control group. | ||||
| Other methods (such as the placebo control arm alone or proportional contextual effect calculation) are deemed inappropriate. | ||||
| This paper aims to provide guidance on best practices for estimating contextual effects in clinical research. | ||||
| Limitations: | ||||
| The review lacks empirical data as it is a methodological analysis, meaning it does not directly address clinical outcomes or interventions. | ||||
| It focuses only on theoretical frameworks and does not provide practical examples or real-world clinical applications. | ||||
| The effectiveness of the proposed method has not been fully tested or validated in diverse clinical settings. |