Pain
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The International Classification of Diseases-11 (ICD-11) chronic pain classification includes about 100 chronic pain diagnoses on different diagnostic levels. Each of these diagnoses requires specific operationalized diagnostic criteria to be present. The classification comprises more than 200 diagnostic criteria. ⋯ The results of the pilot evaluation showed good clinical utility of the algorithm. The CAL-CP can contribute to reliable diagnoses by structuring a way through the classification and by increasing adherence to the criteria. Future studies need to evaluate its utility further and analyze its impact on the accuracy of the assigned diagnoses.
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The current study used data from a clinical trial to identify variables that are associated with and/or mediate the beneficial effects of 4 psychological chronic pain treatments: one teaching patients self-hypnosis to reduce pain intensity (HYP), one teaching self-hypnosis to change thoughts about pain (hypnotic cognitive therapy [HYP-CT]), one teaching cognitive restructuring skills to change thoughts about pain (cognitive therapy [CT]), and one providing education about pain (ED; included as an active control condition). Of 17 possible mechanism variables examined, and with alpha not corrected for multiple comparisons, significant between-group differences were observed for 3. Two of these (changes in beliefs about control over pain and number of days of skill practice) were supported as mediators of the beneficial effects of HYP, CT, or HYP-CT, relative to ED. ⋯ In addition, participant ratings of therapeutic alliance at post-treatment were associated significantly with improvements in both pain intensity and pain interference in the sample as a whole. Thus, of the 17 possible mediators examined, there were relatively few that served as mediators for the beneficial effects of specific treatments; a larger number of variables predicted treatment outcome overall. The extent to which these variables are treatment mediators (ie, are responsible for, rather than merely associated with, treatment-related improvements) will require further research.
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Cannabinoids, cannabis, and cannabis-based medicines (CBMs) are increasingly used to manage pain, with limited understanding of their efficacy and safety. We summarised efficacy and adverse events (AEs) of these types of drugs for treating pain using randomised controlled trials: in people of any age, with any type of pain, and for any treatment duration. Primary outcomes were 30% and 50% reduction in pain intensity, and AEs. ⋯ Studies in this field have unclear or high risk of bias, and outcomes had GRADE rating of low- or very low-quality evidence. We have little confidence in the estimates of effect. The evidence neither supports nor refutes claims of efficacy and safety for cannabinoids, cannabis, or CBM in the management of pain.
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Psychological models of chronic pain (CP) highlight cognitive-processing biases (ie, attentional biases, interpretation biases, and attentional control) as pivotal processes that uniquely and synergistically impact the development and maintenance of CP. Very few studies explore multiple cognitive biases, and no studies have examined these 3 processes together in a CP sample. Furthermore, there is a lack of research investigating the relationship between these cognitive processes and pain-relevant variables (eg, pain intensity and pain catastrophising). ⋯ There was weak evidence of associations between attentional biases, interpretation biases, and attentional control. Pain intensity was significantly correlated with interpretation biases, and follow-up analyses revealed people with high pain intensity demonstrated an interpretation bias towards pain significantly more than those with low pain intensity. Findings suggest that attentional biases towards pain are ubiquitous, but for people with moderate-to-severe pain, interpretation biases may have a role worthy of further research.
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Expectancies can shape pain and other experiences. Generally, experiences change in the direction of what is expected (ie, assimilation effects), as seen with placebo effects. However, in case of large expectation-experience discrepancies, experiences might change away from what is expected (ie, contrast effects). ⋯ In conclusion, even strong underpredictions of pain can reduce pain (ie, cause assimilation), although not significantly more than medium underpredictions. However, strong underpredictions can cause uncertainty and undermine trust. These findings suggest that healthcare providers may wish to be cautious with providing overly positive information about painful medical procedures.