4.5 Editorial Material

A living meta-ecological study of the consequences of the COVID-19 pandemic on mental health

Journal

Publisher

SPRINGER HEIDELBERG
DOI: 10.1007/s00406-021-01242-2

Keywords

-

Funding

  1. Swiss National Science Foundation Beitrag [4078P0_198418/1]
  2. Projekt DEAL
  3. Swiss National Science Foundation (SNF) [4078P0_198418] Funding Source: Swiss National Science Foundation (SNF)

Ask authors/readers for more resources

Authors

I am an author on this paper
Click your name to claim this paper and add it to your profile.

Reviews

Primary Rating

4.5
Not enough ratings

Secondary Ratings

Novelty
-
Significance
-
Scientific rigor
-
Rate this paper

Recommended

Article Psychology, Developmental

Trends in Prescribing Antipsychotics for Children and Adolescents in Japan: A Descriptive Epidemiological Study Using a Large-Scale Pharmacy Dataset

Sayuri Nakane, Sachiko Tanaka-Mizuno, Chika Nishiyama, Kenji Kochi, Madoka Yamamoto-Sasaki, Masato Takeuchi, Yusuke Ogawa, Yuko Doi, Masaru Arai, Yosuke Fujii, Toshiyuki Matsunaga, Toshiaki A. Furukawa, Koji Kawakami

Summary: Little is known about the prescription patterns of antipsychotic drugs among children and adolescents in Japan, particularly in outpatient settings. This study investigated the prevalence and trends of antipsychotic prescription among outpatients aged <= 17 years from 2006 to 2012. The results showed that the most common prescription pattern was second-generation antipsychotic monotherapy, with risperidone being the most frequently prescribed drug.

CHILD PSYCHIATRY & HUMAN DEVELOPMENT (2023)

Article Clinical Neurology

Negative symptoms, striatal dopamine and model-free reward decision-making in schizophrenia

Felix Brandl, Franziska Knolle, Mihai Avram, Claudia Leucht, Igor Yakushev, Josef Priller, Stefan Leucht, Sibylle Ziegler, Klaus Wunderlich, Christian Sorg

Summary: Negative symptoms in patients with schizophrenia are highly prevalent and debilitating. This study found that impaired model-free reward prediction influence is a mechanism for negative symptoms in schizophrenia, and it is associated with reduced associative striatum dopamine and executive dysfunction.

BRAIN (2023)

Article Pharmacology & Pharmacy

Linkage of Young Mania Rating Scale to Clinical Global Impression Scale to Enhance Utility in Clinical Practice and Research Trials

Myrto T. Samara, Stephen Z. Levine, Stefan Leucht

Summary: The study aims to understand and interpret the clinical significance of the Young Mania Rating Scale (YMRS) scores by examining their linkages with the Clinical Global Impression (CGI) ratings. The results of the study provide clinicians with meaningful cutoff values to interpret YMRS scores, which can contribute to the definition of treatment targets, response, remission, and entry criteria in mania trials.

PHARMACOPSYCHIATRY (2023)

Letter Psychology, Clinical

Effect size calculation needs to be specified with details: comment on Ying et al.

Yan Luo, Toshi A. Furukawa

PSYCHOLOGICAL MEDICINE (2023)

Article Medicine, General & Internal

Proportion attributable to contextual effects in general medicine: a meta-epidemiological study based on Cochrane reviews

Yusuke Tsutsumi, Yasushi Tsujimoto, Aran Tajika, Kenji Omae, Tomoko Fujii, Akira Onishi, Yuki Kataoka, Morihiro Katsura, Hisashi Noma, Ethan Sahker, Edoardo Giuseppe Ostinelli, Toshi A. Furukawa

Summary: The study examines the magnitude and variability of contextual effects (PCE) in placebo-controlled trials across various interventions. The results show that subjective outcomes are influenced more by specific intervention effects compared to objective or semiobjective outcomes. The study highlights the importance of considering each PCE individually in different clinical settings.

BMJ EVIDENCE-BASED MEDICINE (2023)

Article Oncology

Smartphone Psychotherapy Reduces Fear of Cancer Recurrence Among Breast Cancer Survivors: A Fully Decentralized Randomized Controlled Clinical Trial (J-SUPPORT 1703 Study)

Tatsuo Akechi, Takuhiro Yamaguchi, Megumi Uchida, Fuminobu Imai, Kanae Momino, Fujika Katsuki, Naomi Sakurai, Tempei Miyaji, Tomoe Mashiko, Masaru Horikoshi, Toshi A. Furukawa, Akiyo Yoshimura, Shinji Ohno, Natsue Uehiro, Kenji Higaki, Yoshie Hasegawa, Kazuhisa Akahane, Yosuke Uchitomi, Hiroji Iwata

Summary: This study investigated the effectiveness of smartphone problem-solving therapy and behavioral activation applications in breast cancer survivors. The results showed that smartphone psychotherapy offers a promising way to reduce fear of cancer recurrence in this population.

JOURNAL OF CLINICAL ONCOLOGY (2023)

Article Psychiatry

Perinatal mental health and COVID-19: Navigating a way forward

Katharine A. Smith, Louise M. Howard, Simone N. Vigod, Armando D'Agostino, Andrea Cipriani

Summary: The COVID-19 pandemic has exacerbated inequalities and risk factors for mental disorders, especially in perinatal mental health. Access to services has been reduced and perinatal anxiety and depressive symptoms have increased. Telepsychiatry offers advantages, but further examination is needed. Clinicians will need expertise in navigating a hybrid model and there is a need for urgent and coordinated guidance and planning across organizations involved in perinatal mental health care.

AUSTRALIAN AND NEW ZEALAND JOURNAL OF PSYCHIATRY (2023)

Article Mathematical & Computational Biology

Measuring the performance of prediction models to personalize treatment choice

Orestis Efthimiou, Jeroen Hoogland, Thomas P. A. Debray, Michael Seo, Toshiaki A. Furukawa, Matthias Egger, Ian R. White

Summary: When individual patient data from a randomized trial are available, statistical and machine learning methods can be used to develop models for predicting treatment effects and guide personalized treatment choices. This article proposes measures to evaluate personalized treatment effect predictions, including discrimination and calibration. The methods are applicable to different outcome types and prediction models.

STATISTICS IN MEDICINE (2023)

Article Mathematical & Computational Biology

Synthesizing cross-design evidence and cross-format data using network meta-regression

Tasnim Hamza, Konstantina Chalkou, Fabio Pellegrini, Jens Kuhle, Pascal Benkert, Johannes Lorscheider, Chiara Zecca, Cynthia P. Iglesias-Urrutia, Andrea Manca, Toshi A. Furukawa, Andrea Cipriani, Georgia Salanti

Summary: In network meta-analysis (NMA), all relevant evidence about health outcomes with competing treatments is synthesized. The evidence can come from randomized clinical trials (RCT) or non-randomized studies (NRS) as individual participant data (IPD) or aggregate data (AD). A suite of Bayesian NMA and network meta-regression (NMR) models are introduced to allow for cross-design and cross-format synthesis. The models integrate a three-level hierarchical model for synthesizing IPD and AD into four approaches, accounting for differences in design and risk of bias (RoB) in the evidence.

RESEARCH SYNTHESIS METHODS (2023)

Review Clinical Neurology

Second-generation antipsychotics and seizures - a systematic review and meta-analysis of serious adverse events in randomized controlled trials

Leonie Reichelt, Orestis Efthimiou, Stefan Leucht, Johannes Schneider-Thoma

Summary: This study compares the risk of seizures between second-generation antipsychotics and placebo in randomized controlled clinical trials (RCTs), and finds that there is no evidence to suggest that second-generation antipsychotics cause seizures in most diagnostic groups.

EUROPEAN NEUROPSYCHOPHARMACOLOGY (2023)

Article Health Care Sciences & Services

Implementation of a Web-Based Resilience Enhancement Training for Nurses: Pilot Randomized Controlled Trial

Catherine Henshall, Zoe Davey, Cynthia Srikesavan, Liam Hart, Dan Butcher, Andrea Cipriani

Summary: This study aimed to examine the engagement and acceptability of a web-based resilience training program for nurses and to compare the levels of resilience and psychological well-being between participants who completed the program and those who did not. The results showed that the program was acceptable, engaging, and perceived as useful by the participants, suggesting the need for similar programs to be evaluated in busy healthcare settings.

JOURNAL OF MEDICAL INTERNET RESEARCH (2023)

Article Clinical Neurology

A network meta-analysis of efficacy, acceptability, and tolerability of antipsychotics in treatment-resistant schizophrenia

Shimeng Dong, Johannes Schneider-Thoma, Irene Bighelli, Spyridon Siafis, Dongfang Wang, Angelika Burschinski, Kristina Schestag, Myrto Samara, Stefan Leucht

Summary: In this network meta-analysis, the efficacy and adverse events of different antipsychotics in treatment-resistant schizophrenia were examined. The results showed that clozapine and olanzapine were more effective in relieving symptoms compared to other drugs. Clozapine remains the gold standard for patients with treatment-resistant schizophrenia, while olanzapine can be considered as an alternative option.

EUROPEAN ARCHIVES OF PSYCHIATRY AND CLINICAL NEUROSCIENCE (2023)

Article Mathematical & Computational Biology

Improved methods to construct prediction intervals for network meta-analysis

Hisashi Noma, Yasuyuki Hamura, Shonosuke Sugasawa, Toshi A. Furukawa

Summary: Network meta-analysis has been widely used in evidence-based medicine to evaluate the effectiveness of multiple treatments. The prediction interval, which incorporates uncertainties and heterogeneity, is an important output of network meta-analysis. However, current standard methods based on t-distribution have been found to underestimate uncertainty in realistic situations. In this study, we propose two new methods based on bootstrap and Kenward-Roger adjustment to construct more accurate prediction intervals.

RESEARCH SYNTHESIS METHODS (2023)

Article Psychiatry

Predicting outcomes at the individual patient level: what is the best method?

Qiang Liu, Edoardo Giuseppe Ostinelli, Franco De Crescenzo, Zhenpeng Li, Anneka Tomlinson, Georgia Salanti, Andrea Cipriani, Orestis Efthimiou

Summary: When developing prediction models, researchers commonly use either an end-to-end approach or a similarity-based approach to address heterogeneity in patient characteristics. This study compared the performance of these two approaches using data from patients with depression and found that they yielded comparable results.

BMJ MENTAL HEALTH (2023)

Article Psychology, Clinical

Guided versus unguided chatbot-delivered cognitive behavioral intervention for individuals with moderate-risk and problem gambling: A randomized controlled trial (GAMBOT2 study)

Ryuhei So, Naoki Emura, Kozue Okazaki, Sakiko Takeda, Takashi Sunami, Kohei Kitagawa, Yoshitake Takebayashi, Toshi A. Furukawa

Summary: This study compared the effects of therapist-guided internet interventions with unguided ones on gambling behavior, cognition, and stage of change. The results showed that there were no significant differences between the guided and unguided groups in terms of improvement in gambling symptoms, behavior, and stage of change.

ADDICTIVE BEHAVIORS (2024)

No Data Available