Cognitive bias modification for social anxiety: protocol for a living systematic review of human studies and meta-analysis

作者：Jaycee Kennett, Claire Friedrich, Virginia Chiocchia, Simon E. Blackwell, Toshi A. Furukawa, Per Carlbring, Thomy Tonia, Ava Homiar, Simonne Wright, Kelvin Opiepie, Richardson Mojica, Paulina Schenk, Susan Michie, Janna Hastings, Hossein Dehdarirad, Claire Stansfield, James Thomas, Jennifer Potts, Georgia Salanti, Andrea Cipriani · 发表于：Wellcome Open Research · 年份：2024 · DOI：10.12688/wellcomeopenres.23278.1 · 被引用次数：2 · 研究领域：Anxiety, Depression, Psychometrics, Treatment, Cognitive Processes、Child and Adolescent Psychosocial and Emotional Development、Perfectionism, Procrastination, Anxiety Studies

Background Social anxiety is a heightened fear and discomfort in social situations which can be experienced in varying degrees of severity. Cases of elevated distress and impaired functioning and quality of life can lead to a clinical diagnosis of social anxiety disorder. Altering cognitive biases associated with social anxiety has been suggested as potentially beneficial; however, little is known about the comparative effectiveness of such interventions. The aim of this living systematic review is to examine the efficacy of cognitive bias modification for reducing social anxiety, including in people who have not been diagnosed with the disorder. Methods We will search multiple electronic databases for randomised controlled trials evaluating the efficacy of cognitive bias modification for people diagnosed with social anxiety and people exposed to a simulated social stressor. The primary outcome will be change in social anxiety related symptoms; secondary outcomes will be changes in social functioning and quality of life and adverse events. Study selection, data extraction and risk of bias assessment will be done by at least two reviewers using pre-defined tools. We will synthesise data from people with social anxiety diagnosis and those subjected to a simulated social stressor separately using random effects meta-analyses. Heterogeneity will be evaluated by investigating characteristics of included studies. We will appraise the strength of the evidence for each outcome by rev...