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1.
  • Allgulander, C, et al. (author)
  • WCA recommendations for the long-term treatment of generalized anxiety disorder
  • 2003
  • In: CNS spectrums. - : Cambridge University Press (CUP). - 1092-8529 .- 2165-6509. ; 8:88 Suppl 1, s. 53-61
  • Journal article (peer-reviewed)abstract
    • What are the current recommendations for the long-term treatment of generalized anxiety disorder (GAD)? GAD is a common disorder with a lifetime prevalence of 4% to 7% in the general population. GAD is characterized by excessive, uncontrollable worry or anxiety about a number of events or activities that the individual experiences on more days than not over a 6-month period. Onset of GAD symptoms usually occurs during an individual's early twenties; however, high rates of GAD have also been seen in children and adolescents. The clinical course of GAD is often chronic, with 40% of patients reporting illness lasting >5 years. GAD is associated with pronounced functional impairment, resulting in decreased vocational function and reduced quality of life. Patients with GAD tend to be high users of outpatient medical care, which contributes significantly to healtcare costs. Currently, benzodiazepines and buspirone are prescribed frequently to treat GAD. Although both show efficacy in acute treatment trials, few long-term studies have been perform Benzodiazepines are not recommended for long-term treatment of GAD, due to associated development of tolerance, psychomotor impairment, cognitive and memory changes, physical dependence, and a withdrawal reaction on discontinuation. The antidepressant venlafaxine extended-release (XR) has received approval for the treatment of GAD in the United States and many other countries. Venlafaxine XR has demonstrated efficacy over placebo in two randomized treatment trials of 6 months' duration as well as in other acute trials. Paroxetine is the first of the selective serotonin reuptake inhibitors (SSRIs) to receive US approval for the treatment of GAD. Paroxetine demonstrated superiority to placebo in short-term trials, and investigations into the use of other SSRIs are ongoing. This suggests that other SSRIs, and serotonin and noradrenaline reuptake inhibitors, are likely to be effective in the treatment of GAD. Of the psychological therapies, cognitive-behavioral therapy (CBT) shows the greatest benefit in treating GAD patients. Treatment gains after a 12-week course of CBT may be maintained for up to 1 year. Currently, no guidelines exist for the long-term treatment of GAD.
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  • Carli, V, et al. (author)
  • Self-harm in prisoners
  • 2011
  • In: CNS spectrums. - 1092-8529. ; 16:3, s. 75-81
  • Journal article (peer-reviewed)
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  • Fountoulakis, Konstantinos N., et al. (author)
  • Gender, age at onset, and duration of being ill as predictors for the long-term course and outcome of schizophrenia : an international multicenter study
  • 2022
  • In: CNS Spectrums. - : CAMBRIDGE UNIV PRESS. - 1092-8529 .- 2165-6509. ; 27:6, s. 716-723
  • Journal article (peer-reviewed)abstract
    • Background The aim of the current study was to explore the effect of gender, age at onset, and duration on the long-term course of schizophrenia. Methods Twenty-nine centers from 25 countries representing all continents participated in the study that included 2358 patients aged 37.21 +/- 11.87 years with a DSM-IV or DSM-5 diagnosis of schizophrenia; the Positive and Negative Syndrome Scale as well as relevant clinicodemographic data were gathered. Analysis of variance and analysis of covariance were used, and the methodology corrected for the presence of potentially confounding effects. Results There was a 3-year later age at onset for females (P < .001) and lower rates of negative symptoms (P < .01) and higher depression/anxiety measures (P < .05) at some stages. The age at onset manifested a distribution with a single peak for both genders with a tendency of patients with younger onset having slower advancement through illness stages (P = .001). No significant effects were found concerning duration of illness. Discussion Our results confirmed a later onset and a possibly more benign course and outcome in females. Age at onset manifested a single peak in both genders, and surprisingly, earlier onset was related to a slower progression of the illness. No effect of duration has been detected. These results are partially in accord with the literature, but they also differ as a consequence of the different starting point of our methodology (a novel staging model), which in our opinion precluded the impact of confounding effects. Future research should focus on the therapeutic policy and implications of these results in more representative samples.
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  • Fountoulakis, K.N., et al. (author)
  • Modeling psychological function in patients with schizophrenia with the PANSS : An international multi-center study
  • 2021
  • In: CNS Spectrums. - : Cambridge University Press. - 1092-8529 .- 2165-6509. ; 26:3, s. 290-298
  • Journal article (peer-reviewed)abstract
    • Background.The aim of the current study was to explore the changing interrelationships among clinical variables through the stages of schizophrenia in order to assemble a comprehensive and meaningful disease model.Methods.Twenty-nine centers from 25 countries participated and included 2358 patients aged 37.21 ± 11.87 years with schizophrenia. Multiple linear regression analysis and visual inspection of plots were performed.Results.The results suggest that with progression stages, there are changing correlations among Positive and Negative Syndrome Scale factors at each stage and each factor correlates with all the others in that particular stage, in which this factor is dominant. This internal structure further supports the validity of an already proposed four stages model, with positive symptoms dominating the first stage, excitement/hostility the second, depression the third, and neurocognitive decline the last stage.Conclusions.The current study investigated the mental organization and functioning in patients with schizophrenia in relation to different stages of illness progression. It revealed two distinct “cores” of schizophrenia, the “Positive” and the “Negative,” while neurocognitive decline escalates during the later stages. Future research should focus on the therapeutic implications of such a model. Stopping the progress of the illness could demand to stop the succession of stages. This could be achieved not only by both halting the triggering effect of positive and negative symptoms, but also by stopping the sensitization effect on the neural pathways responsible for the development of hostility, excitement, anxiety, and depression as well as the deleterious effect on neural networks responsible for neurocognition.
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  • Ji, Julie L, et al. (author)
  • Mental imagery in psychiatry : conceptual & clinical implications.
  • 2019
  • In: CNS Spectrums. - 1092-8529 .- 2165-6509. ; 24:1, s. 114-126
  • Journal article (peer-reviewed)abstract
    • Mental imagery refers to the experience of perception in the absence of external sensory input. Deficits in the ability to generate mental imagery or to distinguish it from actual sensory perception are linked to neurocognitive conditions such as dementia and schizophrenia, respectively. However, the importance of mental imagery to psychiatry extends beyond neurocognitive impairment. Mental imagery has a stronger link to emotion than verbal-linguistic cognition, serving to maintain and amplify emotional states, with downstream impacts on motivation and behavior. As a result, anomalies in the occurrence of emotion-laden mental imagery has transdiagnostic significance for emotion, motivation, and behavioral dysfunction across mental disorders. This review aims to demonstrate the conceptual and clinical significance of mental imagery in psychiatry through examples of mood and anxiety disorders, self-harm and suicidality, and addiction. We contend that focusing on mental imagery assessment in research and clinical practice can increase our understanding of the cognitive basis of psychopathology in mental disorders, with the potential to drive the development of algorithms to aid treatment decision-making and inform transdiagnostic treatment innovation.
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