SAS macro programme for Bang's Blinding Index to assess and visualise the success of blinding in randomised controlled trials.

This paper aims to present a Statistical Analysis Software (SAS) macro %BBIplus, offering estimation and visualisation methods for the Bang's Blinding Index (BBI) for randomised controlled trials (RCTs) with various designs. We developed the SAS macro programme %BBIplus to facilitate the implementation of BBI. This user-friendly programme allows for easy and rapid estimation and visualisation of BBI across different scenarios, including pairwise comparison RCTs with two arms, double-dummy design RCTs with three arms and factorial design RCTs with four arms.

Psychological interventions to prevent the onset of major depression in adults: a systematic review and individual participant data meta-analysis.

Background: Psychological interventions are increasingly discussed as a method to prevent major depressive disorder (MDD) in adults who already experience subthreshold depressive symptoms. In this individual participant data meta-analysis, we quantify the effect of preventive interventions against control on MDD onset in this population, and explore effect modifiers.

Methods: In this systematic review and individual participant data meta-analysis, we screened full-texts of eligible studies within the Metapsy research domain for articles on psychological interventions for depression, from database inception to May 1, 2023, published in English, German, Spanish, and Dutch.

Absolute and relative outcomes of psychotherapies for eight mental disorders: a systematic review and meta-analysis.

Psychotherapies are first-line treatments for most mental disorders, but their absolute outcomes (i.e., response and remission rates) are not well studied, despite the relevance of such information for health care users, providers and policy makers.

Mood Stabilizers and Antipsychotics for Acute Mania: Systematic Review and Meta-Analysis of Augmentation Therapy vs Monotherapy From the Perspective of Time to the Onset of Treatment Effects.

Background: Existing meta-analytic evidence on bipolar mania treatment has revealed that augmentation therapy (AUG) with antipsychotics and mood stabilizers is more effective than monotherapy. However, the speed of the onset of treatment effects and subsequent changes in risk/benefit are unclear.

Methods: We searched the Cochrane CENTRAL, MEDLINE, and EMBASE databases until January 2021.

Antidepressants for social anxiety disorder: A systematic review and meta-analysis.

Aim: This systematic review is aimed to update and reintegrate the pharmacotherapy of social anxiety disorder (SAD), including the Japanese medical database.

Methods: We conducted a systematic review and meta-analysis of pharmacotherapy of SAD according to the Medical Information Distribution Service. We used data from a most recent systematic review, and updated search were conducted using MEDLINE, PubMed, CENTRAL, ICTRP, and ICHUSHI from August 1st, 2017 to January 31st, 2022.

Assessment of blinding in randomized controlled trials of antidepressants for depressive disorders 2000-2020: A systematic review and meta-analysis.

Background: In double-blind randomized controlled trials (RCTs) of antidepressants, blinding can be broken due to the apparent side effects, and unsuccessful blinding can lead to overestimation of effect sizes. New generation antidepressants with less severe side effects may be less susceptible to broken blinding. However, successfulness of blinding in new generation antidepressant trials and its influence on trial effect size estimates remain unclear.

ROB-MEN: a tool to assess risk of bias due to missing evidence in network meta-analysis.

Background: Selective outcome reporting and publication bias threaten the validity of systematic reviews and meta-analyses and can affect clinical decision-making. A rigorous method to evaluate the impact of this bias on the results of network meta-analyses of interventions is lacking. We present a tool to assess the Risk Of Bias due to Missing Evidence in Network meta-analysis (ROB-MEN).

Protocol for development and validation of a prediction model for 5-year risk of incident overactive bladder in the general population: the Nagahama study.

Background: An accurate prediction model could identify high-risk subjects of incident Overactive bladder (OAB) among the general population and enable early prevention which may save on the related medical costs. However, no efficient model has been developed for predicting incident OAB. In this study, we will develop a model for predicting the onset of OAB at 5-year in the general population setting.