Andy
Retired committee member
Full title: Cognitive and emotional variables predicting treatment outcome of cognitive behavior therapies for patients with medically unexplained symptoms: A meta-analysis
Highlights
• A meta-analysis of cognitive-emotional predictors of the outcome of CBT for MUS.
• Comorbid mood and anxiety disorders predict less favorable CBT outcome.
• Catastrophizing and somatosensory amplification predict less favorable CBT outcome.
• Symptom acceptance and self-efficacy predict favorable CBT outcome.
• Predictor-outcome association pronounced in patients with CFS and IBS.
Abstract
Objective
Cognitive behavior therapy (CBT) is the best-evaluated psychological approach to treat patients with medically unexplained symptoms (MUS). We still need a better understanding of what characterizes patients with MUS who benefit more or less from CBT. This systematic review aimed to identify patients' cognitive-emotional characteristics predicting the outcome of CBT for MUS.
Methods
A systematic literature search (PubMed, PsycINFO, Web of Science) revealed 37 eligible studies, 23 of these provided data for meta-analyses. Mean correlation coefficients between predictor variables and the outcomes (symptom intensity, physical or social-emotional functioning) were calculated using a random-effects model. Differences between syndromes of MUS were investigated with moderator analyses.
Results
Meta-analyses showed that patients with a comorbid mood disorder (r = 0.32, p < .01) or anxiety disorder (r = 0.18, p < .01), symptom catastrophizing and worries (r = 0.34, p < .01), tendencies of somatosensory amplification (r = 0.46, p = .04), and low symptom acceptance or self-efficacy (r = 0.25, p < .01) have a less favorable CBT outcome. Moderator analyses revealed that these associations between predictors and treatment outcome are pronounced in patients with chronic fatigue syndrome and irritable bowel syndrome.
Conclusions
Our results show that pre-treatment differences in patients' cognitive-emotional characteristics predict patients' outcome in CBT. Patient-tailored CBT could be a promising approach to address MUS patients' widely varying needs more effectively.
Paywall, https://www.sciencedirect.com/science/article/abs/pii/S0022399921001318
Highlights
• A meta-analysis of cognitive-emotional predictors of the outcome of CBT for MUS.
• Comorbid mood and anxiety disorders predict less favorable CBT outcome.
• Catastrophizing and somatosensory amplification predict less favorable CBT outcome.
• Symptom acceptance and self-efficacy predict favorable CBT outcome.
• Predictor-outcome association pronounced in patients with CFS and IBS.
Abstract
Objective
Cognitive behavior therapy (CBT) is the best-evaluated psychological approach to treat patients with medically unexplained symptoms (MUS). We still need a better understanding of what characterizes patients with MUS who benefit more or less from CBT. This systematic review aimed to identify patients' cognitive-emotional characteristics predicting the outcome of CBT for MUS.
Methods
A systematic literature search (PubMed, PsycINFO, Web of Science) revealed 37 eligible studies, 23 of these provided data for meta-analyses. Mean correlation coefficients between predictor variables and the outcomes (symptom intensity, physical or social-emotional functioning) were calculated using a random-effects model. Differences between syndromes of MUS were investigated with moderator analyses.
Results
Meta-analyses showed that patients with a comorbid mood disorder (r = 0.32, p < .01) or anxiety disorder (r = 0.18, p < .01), symptom catastrophizing and worries (r = 0.34, p < .01), tendencies of somatosensory amplification (r = 0.46, p = .04), and low symptom acceptance or self-efficacy (r = 0.25, p < .01) have a less favorable CBT outcome. Moderator analyses revealed that these associations between predictors and treatment outcome are pronounced in patients with chronic fatigue syndrome and irritable bowel syndrome.
Conclusions
Our results show that pre-treatment differences in patients' cognitive-emotional characteristics predict patients' outcome in CBT. Patient-tailored CBT could be a promising approach to address MUS patients' widely varying needs more effectively.
Paywall, https://www.sciencedirect.com/science/article/abs/pii/S0022399921001318