The efficacy of Narrative Exposure Therapy for Children (KIDNET) as a treatment for traumatized young refugees versus treatment as usual: study protocol for a multi-center randomized controlled trial (YOURTREAT).

Wilker S, Catani C, Wittmann J, et al. The efficacy of Narrative Exposure Therapy for Children (KIDNET) as a treatment for traumatized young refugees versus treatment as usual: study protocol for a multi-center randomized controlled trial (YOURTREAT). Trials. 2020;21(1): 185.BACKGROUND: Germany hosts a large number of refugees from war-affected countries. The integration of refugees, in particular young refugees from the Middle East, is one of the major current social challenges in Germany. Mental disorders, first of all post-traumatic stress disorder (PTSD) that results from war experiences, are common among young refugees and interfere with quality of life as well as functional integration. Evidence regarding effective treatment options for this population is scarce. In this trial, we aim to evaluate the pragmatic, short-term psychotherapy Narrative Exposure Therapy for Children (KIDNET) for the treatment of young refugees in Germany.; METHODS: In a rater-blinded, multi-center, randomized-controlled trial, KIDNET is compared to treatment as usual (TAU) within the general health care system. A total number of 80 young refugees who fulfill the diagnostic criteria of PTSD will be randomized to either KIDNET or TAU. Diagnostic interviews will take place at baseline before treatment as well as 6 and 12months thereafter. They will assess exposure to traumatic events, PTSD and comorbid symptoms, as well as parameters of integration.; DISCUSSION: The results of this study should provide evidence regarding effective treatment options for young refugees in Germany, a population that has been understudied and received only limited access to mental health care so far. Next to the effects of treatment on mental health outcomes, integration parameters will be investigated. Therefore, this study should provide broad insights into treatment options for young refugees and their potential implications on successful integration.; TRIAL REGISTRATION: German Clinical Trials Register (Deutsches Register Klinischer Studien; DRKS), ID: DRKS00017222. Registered on 15 May 2019

Individualized early death and long-term survival prediction after stereotactic radiosurgery for brain metastases of non-small cell lung cancer:Two externally validated nomograms

Introduction Commonly used clinical models for survival prediction after stereotactic radiosurgery (SRS) for brain metastases (BMs) are limited by the lack of individual risk scores and disproportionate prognostic groups. In this study, two nomograms were developed to overcome these limitations. Methods 495 patients with BMs of NSCLC treated with SRS for a limited number of BMs in four Dutch radiation oncology centers were identified and divided in a training cohort (n = 214, patients treated in one hospital) and an external validation cohort n = 281, patients treated in three other hospitals). Using the training cohort, nomograms were developed for prediction of early death (<3 months) and long-term survival (>12 months) with prognostic factors for survival. Accuracy of prediction was defined as the area under the curve (AUC) by receiver operating characteristics analysis for prediction of early death and long term survival. The accuracy of the nomograms was also tested in the external validation cohort. Results Prognostic factors for survival were: WHO performance status, presence of extracranial metastases, age, GTV largest BM, and gender. Number of brain metastases and primary tumor control were not prognostic factors for survival. In the external validation cohort, the nomogram predicted early death statistically significantly better (p < 0.05) than the unfavorable groups of the RPA, DS-GPA, GGS, SIR, and Rades 2015 (AUC = 0.70 versus range AUCs = 0.51–0.60 respectively). With an AUC of 0.67, the other nomogram predicted 1 year survival statistically significantly better (p < 0.05) than the favorable groups of four models (range AUCs = 0.57–0.61), except for the SIR (AUC = 0.64, p = 0.34). The models are available on www.predictcancer.org. Conclusion The nomograms predicted early death and long-term survival more accurately than commonly used prognostic scores after SRS for a limited number of BMs of NSCLC. Moreover these nomograms enable individualized probability assessment and are easy into use in routine clinical practice