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Nutrients Jan 2020Abnormally high levels of physical activity have been documented throughout the literature in patients with eating disorders (ED), especially those diagnosed with...
Abnormally high levels of physical activity have been documented throughout the literature in patients with eating disorders (ED), especially those diagnosed with anorexia nervosa (AN). Yet no clear definition, conceptualization, or treatment of the problematic use of physical activity (PPA) in ED patients exists. The aim of this review is to propose a new classification of PPA, report the prevalence, triggers, predictors, maintainers and other related factors of PPA in ED patients, in addition to proposing a comprehensive model of the development of PPA in AN. A total of 47 articles, retrieved from Medline and Web of Science, met the inclusion criteria and were included in the analysis. As a result, the new approach of PPA was divided into two groups (group 1 and group 2) according to the dimension (quantitative vs qualitative approach) of physical activity that was evaluated. The prevalence of PPA in ED was reported in 20 out of 47 studies, the comparison of PPA between ED versus controls in 21 articles, and the links between PPA and psychological factors in ED in 26 articles, including depression (16/26), anxiety (13/26), obsessive-compulsiveness (9/26), self-esteem (4/26), addictiveness (1/26), regulation and verbal expression of emotions (1/26) and anhedonia (1/26). The links between PPA and ED symptomatology, PPA and weight, body mass index (BMI) and body composition in ED, PPA and age, onset, illness duration and lifetime activity status in ED, PPA and ED treatment outcome were reported in 18, 15, 7, 5 articles, respectively. All of the factors have been systematically clustered into group 1 and group 2. Results focused more on AN rather than BN due to the limited studies on the latter. Additionally, a model for the development of PPA in AN patients was proposed, encompassing five periods evolving into three clinical stages. Thus, two very opposite components of PPA in AN were suggested: voluntarily PPA increased in AN was viewed as a conscious strategy to maximize weight loss, while involuntarily PPA increased proportionally with weight-loss, indicating that exercise might be under the control of a subconscious biological drive and involuntary cognition.
Topics: Adolescent; Adult; Anorexia Nervosa; Bulimia Nervosa; Compulsive Behavior; Exercise; Female; Humans; Male; Young Adult
PubMed: 31936525
DOI: 10.3390/nu12010183 -
European Archives of Psychiatry and... Feb 2021Transcranial alternating current stimulation (tACS) is a unique form of non-invasive brain stimulation. Sinusoidal alternating electric currents are delivered to the... (Review)
Review
Transcranial alternating current stimulation (tACS) is a unique form of non-invasive brain stimulation. Sinusoidal alternating electric currents are delivered to the scalp to affect mostly cortical neurons. tACS is supposed to modulate brain function and, in turn, cognitive processes by entraining brain oscillations and inducing long-term synaptic plasticity. Therefore, tACS has been investigated in cognitive neuroscience, but only recently, it has been also introduced in psychiatric clinical trials. This review describes current concepts and first findings of applying tACS as a potential therapeutic tool in the field of psychiatry. The current understanding of its mechanisms of action is explained, bridging cellular neuronal activity and the brain network mechanism. Revisiting the relevance of altered brain oscillations found in six major psychiatric disorders, putative targets for the management of mental disorders using tACS are discussed. A systematic literature search on PubMed was conducted to report findings of the clinical studies applying tACS in patients with psychiatric conditions. In conclusion, the initial results may support the feasibility of tACS in clinical psychiatric populations without serious adverse events. Moreover, these results showed the ability of tACS to reset disturbed brain oscillations, and thus to improve behavioural outcomes. In addition to its potential therapeutic role, the reactivity of the brain circuits to tACS could serve as a possible tool to determine the diagnosis, classification or prognosis of psychiatric disorders. Future double-blind randomised controlled trials are necessary to answer currently unresolved questions. They may aim to detect response predictors and control for various confounding factors.
Topics: Brain; Humans; Neuronal Plasticity; Neurons; Psychiatry; Transcranial Direct Current Stimulation
PubMed: 33211157
DOI: 10.1007/s00406-020-01209-9 -
Psychological Medicine Dec 2021Multiple treatments are effective for major depressive disorder (MDD), but the outcomes of each treatment vary broadly among individuals. Accurate prediction of outcomes... (Meta-Analysis)
Meta-Analysis Review
BACKGROUND
Multiple treatments are effective for major depressive disorder (MDD), but the outcomes of each treatment vary broadly among individuals. Accurate prediction of outcomes is needed to help select a treatment that is likely to work for a given person. We aim to examine the performance of machine learning methods in delivering replicable predictions of treatment outcomes.
METHODS
Of 7732 non-duplicate records identified through literature search, we retained 59 eligible reports and extracted data on sample, treatment, predictors, machine learning method, and treatment outcome prediction. A minimum sample size of 100 and an adequate validation method were used to identify adequate-quality studies. The effects of study features on prediction accuracy were tested with mixed-effects models. Fifty-four of the studies provided accuracy estimates or other estimates that allowed calculation of balanced accuracy of predicting outcomes of treatment.
RESULTS
Eight adequate-quality studies reported a mean accuracy of 0.63 [95% confidence interval (CI) 0.56-0.71], which was significantly lower than a mean accuracy of 0.75 (95% CI 0.72-0.78) in the other 46 studies. Among the adequate-quality studies, accuracies were higher when predicting treatment resistance (0.69) and lower when predicting remission (0.60) or response (0.56). The choice of machine learning method, feature selection, and the ratio of features to individuals were not associated with reported accuracy.
CONCLUSIONS
The negative relationship between study quality and prediction accuracy, combined with a lack of independent replication, invites caution when evaluating the potential of machine learning applications for personalizing the treatment of depression.
Topics: Depression; Depressive Disorder, Major; Humans; Machine Learning; Prognosis; Treatment Outcome
PubMed: 35575607
DOI: 10.1017/S0033291721003871 -
World Psychiatry : Official Journal of... Feb 2023Neurodevelopmental disorders - including attention-deficit/hyperactivity disorder (ADHD), autism spectrum disorder, communication disorders, intellectual disability,...
Neurodevelopmental disorders - including attention-deficit/hyperactivity disorder (ADHD), autism spectrum disorder, communication disorders, intellectual disability, motor disorders, specific learning disorders, and tic disorders - manifest themselves early in development. Valid, reliable and broadly usable biomarkers supporting a timely diagnosis of these disorders would be highly relevant from a clinical and public health standpoint. We conducted the first systematic review of studies on candidate diagnostic biomarkers for these disorders in children and adolescents. We searched Medline and Embase + Embase Classic with terms relating to biomarkers until April 6, 2022, and conducted additional targeted searches for genome-wide association studies (GWAS) and neuroimaging or neurophysiological studies carried out by international consortia. We considered a candidate biomarker as promising if it was reported in at least two independent studies providing evidence of sensitivity and specificity of at least 80%. After screening 10,625 references, we retained 780 studies (374 biochemical, 203 neuroimaging, 133 neurophysiological and 65 neuropsychological studies, and five GWAS), including a total of approximately 120,000 cases and 176,000 controls. While the majority of the studies focused simply on associations, we could not find any biomarker for which there was evidence - from two or more studies from independent research groups, with results going into the same direction - of specificity and sensitivity of at least 80%. Other important metrics to assess the validity of a candidate biomarker, such as positive predictive value and negative predictive value, were infrequently reported. Limitations of the currently available studies include mostly small sample size, heterogeneous approaches and candidate biomarker targets, undue focus on single instead of joint biomarker signatures, and incomplete accounting for potential confounding factors. Future multivariable and multi-level approaches may be best suited to find valid candidate biomarkers, which will then need to be validated in external, independent samples and then, importantly, tested in terms of feasibility and cost-effectiveness, before they can be implemented in daily clinical practice.
PubMed: 36640395
DOI: 10.1002/wps.21037 -
The Cochrane Database of Systematic... Aug 2020The symptoms and signs of schizophrenia have been linked to high levels of dopamine in specific areas of the brain (limbic system). Antipsychotic drugs block the... (Meta-Analysis)
Meta-Analysis
BACKGROUND
The symptoms and signs of schizophrenia have been linked to high levels of dopamine in specific areas of the brain (limbic system). Antipsychotic drugs block the transmission of dopamine in the brain and reduce the acute symptoms of the disorder. An original version of the current review, published in 2012, examined whether antipsychotic drugs are also effective for relapse prevention. This is the updated version of the aforesaid review.
OBJECTIVES
To review the effects of maintaining antipsychotic drugs for people with schizophrenia compared to withdrawing these agents.
SEARCH METHODS
We searched the Cochrane Schizophrenia Group's Study-Based Register of Trials including the registries of clinical trials (12 November 2008, 10 October 2017, 3 July 2018, 11 September 2019).
SELECTION CRITERIA
We included all randomised trials comparing maintenance treatment with antipsychotic drugs and placebo for people with schizophrenia or schizophrenia-like psychoses.
DATA COLLECTION AND ANALYSIS
We extracted data independently. For dichotomous data we calculated risk ratios (RR) and their 95% confidence intervals (CIs) on an intention-to-treat basis based on a random-effects model. For continuous data, we calculated mean differences (MD) or standardised mean differences (SMD), again based on a random-effects model.
MAIN RESULTS
The review currently includes 75 randomised controlled trials (RCTs) involving 9145 participants comparing antipsychotic medication with placebo. The trials were published from 1959 to 2017 and their size ranged between 14 and 420 participants. In many studies the methods of randomisation, allocation and blinding were poorly reported. However, restricting the analysis to studies at low risk of bias gave similar results. Although this and other potential sources of bias limited the overall quality, the efficacy of antipsychotic drugs for maintenance treatment in schizophrenia was clear. Antipsychotic drugs were more effective than placebo in preventing relapse at seven to 12 months (primary outcome; drug 24% versus placebo 61%, 30 RCTs, n = 4249, RR 0.38, 95% CI 0.32 to 0.45, number needed to treat for an additional beneficial outcome (NNTB) 3, 95% CI 2 to 3; high-certainty evidence). Hospitalisation was also reduced, however, the baseline risk was lower (drug 7% versus placebo 18%, 21 RCTs, n = 3558, RR 0.43, 95% CI 0.32 to 0.57, NNTB 8, 95% CI 6 to 14; high-certainty evidence). More participants in the placebo group than in the antipsychotic drug group left the studies early due to any reason (at seven to 12 months: drug 36% versus placebo 62%, 24 RCTs, n = 3951, RR 0.56, 95% CI 0.48 to 0.65, NNTB 4, 95% CI 3 to 5; high-certainty evidence) and due to inefficacy of treatment (at seven to 12 months: drug 18% versus placebo 46%, 24 RCTs, n = 3951, RR 0.37, 95% CI 0.31 to 0.44, NNTB 3, 95% CI 3 to 4). Quality of life might be better in drug-treated participants (7 RCTs, n = 1573 SMD -0.32, 95% CI to -0.57 to -0.07; low-certainty evidence); probably the same for social functioning (15 RCTs, n = 3588, SMD -0.43, 95% CI -0.53 to -0.34; moderate-certainty evidence). Underpowered data revealed no evidence of a difference between groups for the outcome 'Death due to suicide' (drug 0.04% versus placebo 0.1%, 19 RCTs, n = 4634, RR 0.60, 95% CI 0.12 to 2.97,low-certainty evidence) and for the number of participants in employment (at 9 to 15 months, drug 39% versus placebo 34%, 3 RCTs, n = 593, RR 1.08, 95% CI 0.82 to 1.41, low certainty evidence). Antipsychotic drugs (as a group and irrespective of duration) were associated with more participants experiencing movement disorders (e.g. at least one movement disorder: drug 14% versus placebo 8%, 29 RCTs, n = 5276, RR 1.52, 95% CI 1.25 to 1.85, number needed to treat for an additional harmful outcome (NNTH) 20, 95% CI 14 to 50), sedation (drug 8% versus placebo 5%, 18 RCTs, n = 4078, RR 1.52, 95% CI 1.24 to 1.86, NNTH 50, 95% CI not significant), and weight gain (drug 9% versus placebo 6%, 19 RCTs, n = 4767, RR 1.69, 95% CI 1.21 to 2.35, NNTH 25, 95% CI 20 to 50).
AUTHORS' CONCLUSIONS
For people with schizophrenia, the evidence suggests that maintenance on antipsychotic drugs prevents relapse to a much greater extent than placebo for approximately up to two years of follow-up. This effect must be weighed against the adverse effects of antipsychotic drugs. Future studies should better clarify the long-term morbidity and mortality associated with these drugs.
Topics: Antipsychotic Agents; Bias; Dopamine Antagonists; Employment; Hospitalization; Humans; Maintenance Chemotherapy; Patient Dropouts; Placebos; Quality of Life; Randomized Controlled Trials as Topic; Recurrence; Schizophrenia; Secondary Prevention
PubMed: 32840872
DOI: 10.1002/14651858.CD008016.pub3 -
The International Journal of... Apr 2020Resistant bipolar disorder is a major mental health problem related to significant disability and overall cost. The aim of the current study was to perform a systematic...
BACKGROUND
Resistant bipolar disorder is a major mental health problem related to significant disability and overall cost. The aim of the current study was to perform a systematic review of the literature concerning (1) the definition of treatment resistance in bipolar disorder, (2) its clinical and (3) neurobiological correlates, and (4) the evidence-based treatment options for treatment-resistant bipolar disorder and for eventually developing guidelines for the treatment of this condition.
MATERIALS AND METHODS
The PRISMA method was used to identify all published papers relevant to the definition of treatment resistance in bipolar disorder and the associated evidence-based treatment options. The MEDLINE was searched to April 22, 2018.
RESULTS
Criteria were developed for the identification of resistance in bipolar disorder concerning all phases. The search of the literature identified all published studies concerning treatment options. The data were classified according to strength, and separate guidelines regarding resistant acute mania, acute bipolar depression, and the maintenance phase were developed.
DISCUSSION
The definition of resistance in bipolar disorder is by itself difficult due to the complexity of the clinical picture, course, and treatment options. The current guidelines are the first, to our knowledge, developed specifically for the treatment of resistant bipolar disorder patients, and they also include an operationalized definition of treatment resistance. They were based on a thorough and deep search of the literature and utilize as much as possible an evidence-based approach.
Topics: Anticonvulsants; Antidepressive Agents; Antimanic Agents; Antipsychotic Agents; Bipolar Disorder; Drug Resistance; Evidence-Based Medicine; Humans; Practice Guidelines as Topic
PubMed: 31802122
DOI: 10.1093/ijnp/pyz064 -
International Review of Psychiatry... 2023This systematic review characterizes the published literature on arts and humanities curricula for psychiatry learners that include any form of program evaluation.... (Review)
Review
This systematic review characterizes the published literature on arts and humanities curricula for psychiatry learners that include any form of program evaluation. Authors searched three databases (Medline ALL, Embase.com, and PsycINFO) to identify articles on arts and humanities in psychiatry education. Criteria for the review included articles reporting outcome measures for arts and humanities learning activities in psychiatry learners. For those articles meeting inclusion criteria, a descriptive analysis was performed as well as an assessment of the level of program evaluation using the Kirkpatrick framework. Of 1,287 articles identified, 35 met inclusion criteria. About half of the programs included medical students (n = 17, 49%). Film and television was the most frequent arts and humanities subject (n = 16, 46%). Most studies incorporated a non-randomized, non-controlled design (n = 30, 86%). Twenty-two (63%) achieved a Kirkpatrick Level 1 designation, 12 achieved Level 2 (34%), and one study achieved Level 3 (3%). Arts and humanities programs have a promising role in psychiatry education. At present, significant heterogeneity in the extant literature makes it difficult to draw general conclusions that could guide future program development. This review underscores the need for rigorous evaluative methods of arts and humanities programs for psychiatry learners.
Topics: Humans; Humanities; Curriculum; Learning; Education, Medical, Undergraduate; Education, Medical
PubMed: 38461397
DOI: 10.1080/09540261.2023.2278718 -
Biological Psychiatry Apr 2024Understanding the interactions between the gut microbiome and psychotropic medications (psycho-pharmacomicrobiomics) could improve treatment stratification strategies in... (Meta-Analysis)
Meta-Analysis
BACKGROUND
Understanding the interactions between the gut microbiome and psychotropic medications (psycho-pharmacomicrobiomics) could improve treatment stratification strategies in psychiatry. In this systematic review and meta-analysis, we first explored whether psychotropics modify the gut microbiome; second, we investigated whether the gut microbiome affects the efficacy and tolerability of psychotropics.
METHODS
Following PRISMA (Preferred Reporting Items for Systematic Reviews and Meta-Analyses) guidelines, we searched (November 2022) for longitudinal and cross-sectional studies that investigated the effect of psychotropics on the gut microbiome. The primary outcome was the difference in diversity metrics (alpha and beta) before and after treatment with psychotropics (longitudinal studies) and in medicated compared with unmedicated individuals (cross-sectional studies). Secondary outcomes included the association between gut microbiome and efficacy and tolerability outcomes. Random effect meta-analyses were conducted on alpha diversity metrics, while beta diversity metrics were pooled using distance data extracted from graphs. Summary statistics included standardized mean difference and Higgins I for alpha diversity metrics and F and R values for beta diversity metrics.
RESULTS
Nineteen studies were included in our synthesis; 12 investigated antipsychotics and 7 investigated antidepressants. Results showed significant changes in alpha (4 studies; standard mean difference: 0.12; 95% CI: 0.01-0.23; p = .04; I: 14%) and beta (F = 15.59; R = 0.05; p < .001) diversity metrics following treatment with antipsychotics and antidepressants, respectively. Altered gut microbiome composition at baseline was associated with tolerability and efficacy outcomes across studies, including response to antidepressants (2 studies; alpha diversity; standard mean difference: 2.45; 95% CI: 0.50-4.40; p < .001, I: 0%).
CONCLUSIONS
Treatment with psychotropic medications is associated with altered gut microbiome composition, and the gut microbiome may in turn influence the efficacy and tolerability of these medications.
Topics: Humans; Cross-Sectional Studies; Psychotropic Drugs; Antidepressive Agents; Antipsychotic Agents; Gastrointestinal Microbiome
PubMed: 37567335
DOI: 10.1016/j.biopsych.2023.07.019 -
Therapeutic Advances in... 2023More than 2% of the general population experience suicidal ideas each year and a large number of them will attempt suicide. Evidence-based therapeutic options to manage... (Review)
Review
BACKGROUND
More than 2% of the general population experience suicidal ideas each year and a large number of them will attempt suicide. Evidence-based therapeutic options to manage suicidal crisis are currently limited.
OBJECTIVES
The aim of this study was to overview the findings on the use of ketamine and esketamine for the treatment of suicidal ideas and acts.
DESIGN
Systematic review.
DATA SOURCES AND METHODS
PubMed, article references, and Clinicaltrials.gov up to June 30, 2022. Meta-analyses published within the last 2 years were also reviewed.
RESULTS
We identified 12 randomized controlled trials with reduction of suicidal ideation as the primary objective and 14 trials as secondary objectives. Intravenous racemic ketamine was superior to control drugs (placebo or midazolam) within the first 72 h, in spite of large placebo effects. Adverse events were minor and transient. In contrast, intranasal esketamine did not differ from placebo in large-scale studies. Limitations, clinical considerations, and opportunities for future research include the following points: large placebo effects when studying suicidal ideation reduction; small concerns about blinding quality due to dissociative effects; no studies on the risk/prevention of suicidal acts and mortality; lack of studies beyond affective disorders; no studies in adolescents and older people; lack of knowledge of long-term side effects, notably liability for abuse; no robust predictive markers; limited understanding of the mechanisms of ketamine on suicidal ideas; need for improved assessment of suicidal ideation in clinical trials; need for studies in outpatient settings, emergency room, and liaison consultation; need for research on ketamine administration; limited knowledge on the positive and negative effects of concomitant treatments.
CONCLUSION
Overall, there is compelling evidence for a favorable short-term benefit-risk balance with intravenous racemic ketamine but not intranasal esketamine. The place of ketamine will have to be defined within a multimodal care strategy for suicidal patients. Caution remains necessary for clinical use, and pharmacovigilance will be essential.
PubMed: 36776623
DOI: 10.1177/20451253231151327 -
Medical Education Aug 2020Most medical doctors are likely to work with patients experiencing mental health conditions. However, educational opportunities for medical doctors to achieve... (Meta-Analysis)
Meta-Analysis Review
CONTEXT
Most medical doctors are likely to work with patients experiencing mental health conditions. However, educational opportunities for medical doctors to achieve professional development in the field of psychiatry are often limited. Simulation training in psychiatry may be a useful tool to foster this development.
OBJECTIVES
The purpose of this study was to assess the effectiveness of simulation training in psychiatry for medical students, postgraduate trainees and medical doctors.
METHODS
For this systematic review and meta-analysis, we searched eight electronic databases and trial registries up to 31 August 2018. We manually searched key journals and the reference lists of selected studies. We included randomised and non-randomised controlled studies and single group pre- and post-test studies. Our main outcomes were based on Kirkpatrick levels. We included data only from randomised controlled trials (RCTs) using random-effects models.
RESULTS
From 46 571 studies identified, we selected 163 studies and combined 27 RCTs. Interventions included simulation by role-play (n = 69), simulated patients (n = 72), virtual reality (n = 22), manikin (n = 5) and voice simulation (n = 2). Meta-analysis found significant differences at immediate post-tests for simulation compared with active and inactive control groups for attitudes (standardised mean difference [SMD] = 0.52, 95% confidence interval [CI] 0.31-0.73 [I = 0.0%] and SMD = 0.28, 95% CI 0.04-0.53 [I = 52.0%], respectively), skills (SMD = 1.37, 95% CI 0.56-2.18 [I = 93.0%] and SMD = 1.49, 95% CI 0.39-2.58 [I = 93.0%], respectively), knowledge (SMD = 1.22, 95% CI 0.57-1.88 [I = 0.0%] and SMD = 0.72, 95% CI 0.14-1.30 [I = 80.0%], respectively), and behaviours (SMD = 1.07, 95% CI 0.49-1.65 [I = 68.0%] and SMD = 0.45, 95% CI 0.11-0.79 [I = 41.0%], respectively). Significant differences in terms of patient benefit and doctors' behaviours and skills were found at the 3-month follow-up.
CONCLUSIONS
Despite heterogeneity in methods and simulation interventions, our findings demonstrate the effectiveness of simulation training in psychiatry training.
Topics: Computer Simulation; Educational Status; Humans; Mental Disorders; Psychiatry; Students, Medical
PubMed: 32242966
DOI: 10.1111/medu.14166