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Background: Maladaptive trauma appraisal plays an important role in the development and maintenance of posttraumatic stress disorder (PTSD). While studies have demonstrated the effectiveness of exposure and cognitive treatments for PTSD symptomatology, the effect of such treatments on specific trauma appraisals is still not well understood. Objective: The study investigated the effect of an exposure and a cognitive restructuring internet-based treatment on specific trauma appraisals in Arabic-speaking participants with PTSD. Method: 334 participants received either an exposure ( n  = 167) or a cognitive restructuring ( n  = 167) internet-based treatment. PTSD symptom severity (PCL-5) and specific trauma appraisals (TAQ) were assessed at pre- and post-treatment. Changes in specific trauma appraisals within and between the two treatments were analyzed using multi-group change modelling. Associations between changes in PTSD symptom severity and changes in trauma appraisals were evaluated using Pearson product-moment correlation. For both treatments, participants with versus without reliable improvement were compared regarding changes in specific trauma appraisals using Welch tests. Analyses were performed on 100 multiple imputed datasets. Results: Both treatments yielded significant changes in shame, self-blame, fear, anger, and alienation (all p s < .001). Changes in betrayal were only significant in the cognitive restructuring treatment ( p < .001). There was no evidence of differences between treatments for any specific trauma appraisal. Changes in PTSD symptom severity were significantly associated with changes in trauma appraisals (all p s < .001). In both treatments, participants who experienced reliable improvement in PTSD symptom severity showed significantly larger pre- to post-treatment changes in specific trauma appraisals compared to those without reliable improvement. Again, differences in betrayal were only significant in the cognitive restructuring treatment. Conclusions: The findings indicate that both treatments are effective in reducing trauma appraisals in Arabic-speaking people with PTSD. Changes in trauma appraisal seem to be associated with changes in PTSD symptomatology. Trial registration: German Clinical Trials Register identifier: DRKS00010245.

Background: Internet-based cognitive-behavioural interventions seem to be effective for the treatment of posttraumatic stress disorder (PTSD) in Arabic-speaking countries in the MENA region. However, due to high prevalence rates of trauma-related mental disorders in this region, it is important to scale up existing Internet-based interventions in order to increase the number of clients., Objective: The aim of the study was to examine whether a brief Internet-based intervention with one cognitive technique (TF-short, 6 assignments) results in the same PTSD symptom change and lower dropouts compared to a longer intervention with two cognitive techniques (TF-reg, 10 assignments)., Method: A total of 224 Arab participants (67.4% female; M = 25.3 years old) with PTSD were randomly assigned to Internet-based CBT with either a TF-reg protocol ( n  = 110) or a TF-short protocol ( n  = 114). Symptoms of PTSD and secondary outcomes (anxiety, depression, somatic complaints, quality of life) were self-assessed online at baseline and post-treatment. Treatment-associated changes were estimated using multigroup latent difference score models., Results: The overall PTSD score assessed with the PDS decreased by about 15 points in both conditions. The between-group differences (TF-reg vs. TF-short) at post-assessment were non-significant, Δ = 0.29, p = .896, d = 0.02, 95% CI [-0.30, 0.34]. Like the primary outcome, all within-group changes for the secondary outcomes throughout the intervention were statistically significant and all between-group effects were non-significant. Overall, the dropout rates did not differ between the two conditions, χ2 (1/ N  = 175) = 0.83, p = .364., Conclusions: The findings suggest that the shorter condition results in the same symptom change and dropout rate as the longer condition. This highlights the potential of shorter, more scalable Internet-based interventions in socially restricted and (post-)conflict societies., Clinicaltrialsgov Id: NCT01508377., Competing Interests: No potential conflict of interest was reported by the author(s)., (© 2021 The Author(s). Published by Informa UK Limited, trading as Taylor & Francis Group.)

Resection of colorectal liver metastases (CRLM) is a potential curative treatment for patients with metastatic colorectal cancer (mCRC) with liver-limited disease (LLD). Although long-term survival improved considerably within the last decades, high recurrence rates of 50-75% after resection remain a major challenge.Tecemotide (L-BLP25) is an antigen-specific cancer vaccine inducing immunity against mucin-1 (MUC1). The LICC trial aimed to improve survival in patients with mCRC after R0/R1 resection of CRLM. LICC was a binational, randomized, double-blind, placebo-controlled, multicenter phase 2 study including patients with R0/R1 resected CRLM without evidence of metastatic disease outside the liver. Co-primary endpoints were recurrence-free survival (RFS) and 3-year overall survival (OS) rate, secondary endpoints were RFS and OS in subgroups with different MUC1 expression and safety. In total, 121 patients were 2:1 randomized between Oct 2011 and Dec 2014to receive tecemotide (N=79) or placebo (N=42). Baseline characteristics were well balanced. Median RFS was 6.1 months (95% CI 4.5-8.9) and 11.4 months (95% CI 3.7-21.2) ( P = .1754), 3-year OS rate 69.1% and 79.1%, median OS 62.8 months and not reached in the tecemotide vs. placebo arm ( P = .2141), respectively. Cox regression models revealed no dependence of RFS or OS on MUC1 expression. The most common tecemotide-related grade 3/4 adverse events were diarrhea, injection site reaction, intestinal perforation, peritonitis and tinnitus (1.3% each). The LICC trial failed to meet its primary endpoints of significantly improving RFS and OS with tecemotide. However, both arms showed unexpectedly long OS. MUC1 expression was not associated with outcome.EudraCT No: 2011-000218-20Clinical Trial Information: NCT01462513Financial Support: Merck KGaA, Darmstadt, Germany., Abbreviations: AE: adverse event; CP: cyclophosphamide; CRC: colorectal cancer; CT: computed tomography; ECOG: Eastern Cooperative Oncology Group; FU: follow-up; HR: hazard ratio; IHC: immunohistochemical staining; ITT: intention-to-treat; DSMB: Data Safety Monitoring Board; LLD: liver-limited disease; mCRC: metastatic colorectal cancer; MPLA: monophosphoryl lipid; AMRI: magnetic resonance imaging; MUC1: mucin 1; NA: not applicable; NCI-CTCAE: National Cancer Institute Common Terminology Criteria for Adverse Events; NS: normal saline; NSCLC: non-small-cell lung carcinoma; OS: overall surviva; lPP: per protocol; RAS: Rat sarcoma; RFS: recurrence-free survival; TEAE: treatment-emergent adverse event; UICC: Union for International Cancer Control; US: ultrasound; vs.: versus., (© 2020 The Author(s). Published with license by Taylor & Francis Group, LLC.)

Background : Dropout from psychotherapy has negative impacts on clients, therapists, and health-care agencies. Research has identified a variety of variables as predictors of dropout, which can be grouped in three domains: socio-demographic, psychological, and treatment-related variables. Objective : In order to further clarify the question of predictors of dropout, an exploratory research design was applied to a large sample, testing 25 different variables from the three domains as possible predictors. Method : The sample included 386 adults who started an internet-based cognitive-behavioural treatment approach for posttraumatic stress disorder (PTSD) in Arabic. As the participants had different countries of origin and of current residence, multilevel analyses were performed. For the selection of predictor variables, the Least Absolute Shrinkage and Selection Operator was used. Results : Dropout rates did not vary significantly between participants from different countries of origin or from different countries of residence. Likewise, dropout did not vary significantly between clusters of individuals with the same country of origin and the same country of residence, i.e. the same migration path. Three of the 25 variables were identified as significant predictors for dropout: marital status (divorced participants' probability to drop out was higher compared to non-divorced, i.e. single, married, or widowed, clients), treatment credibility scores (higher dropout probability of participants with lower treatment credibility), and the participants' year of registration for the treatment (earlier years of registration predicted lower dropout probability). The overall ability of the three-factor-model to discriminate between dropout and completion was poor (AUC = 0.652, with low sensitivity and acceptable specificity). Conclusions : The predictors belong to the treatment-related domain (credibility, year of registration) or are specific to the target group (marital status). However, the results show that predicting treatment dropout continues to be a very challenging endeavour and indicate that it is important to look at each intervention individually., (© 2020 The Author(s). Published by Informa UK Limited, trading as Taylor & Francis Group.)