Publications by authors named "Chaimani A"

Background: Many patients with schizophrenia have symptoms that do not respond to antipsychotics. This condition is called treatment-resistant schizophrenia and has not received specific attention as opposed to general schizophrenia. Psychological and psychosocial interventions as an add-on treatment to pharmacotherapy could be useful, but their role and comparative efficacy to each other and to standard care in this population are not known.

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Network meta-analysis (NMA) usually provides estimates of the relative effects with the highest possible precision. However, sparse networks with few available studies and limited direct evidence can arise, threatening the robustness and reliability of NMA estimates. In these cases, the limited amount of available information can hamper the formal evaluation of the underlying NMA assumptions of transitivity and consistency.

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Background: One key aspect of personalized medicine is to identify individuals who benefit from an intervention. Some approaches have been developed to estimate individualized treatment effects (ITE) with a single randomized control trial (RCT) or observational data, but they are often underpowered for the ITE estimation. Using individual participant data meta-analyses (IPD-MA) might solve this problem.

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Background: This study examined the synthesis methods used in meta-analyses pooling data from observational studies (OSs) and randomised controlled trials (RCTs) from various medical disciplines.

Methods: We searched Medline via PubMed to identify reports of systematic reviews of interventions, including and pooling data from RCTs and OSs published in 110 high-impact factor general and specialised journals between 2015 and 2019. Screening and data extraction were performed in duplicate.

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Article Synopsis
  • Preprints are becoming popular for sharing research, and this study looked at how consistent the effect estimates are between preprints and final journal articles for COVID-19 randomized controlled trials (RCTs).
  • The analysis included 109 RCTs, with an average delay of about 4 months from preprint to journal publication, and found that a significant number (80%) showed some concern regarding bias in their results.
  • Overall, most preprint and journal article pairs (81 out of 109) showed consistent outcomes, although 9 had discrepancies that slightly affected the reported effect estimates.
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Objectives: Preprints became a major source of research communication during the COVID-19 pandemic. We aimed to evaluate whether summary treatment effect estimates differ between preprint and peer-reviewed journal trials.

Study Design And Setting: A meta-epidemiological study.

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  • Psoriasis is a chronic immune-mediated disease affecting skin and/or joints, significantly impacting quality of life, with no known cure but manageable through various treatments.
  • This study aimed to evaluate and rank the effectiveness and safety of non-biological systemic agents, small molecules, and biologics for moderate-to-severe psoriasis using a network meta-analysis approach.
  • Researchers analyzed data from randomized controlled trials, focusing on the percentage of participants achieving nearly clear skin and the occurrence of serious side effects, to determine the relative benefits and harms of different treatment options.
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  • The placebo effect happens when someone feels better because they believe a treatment works, even if it’s not real medicine.
  • This effect can change results in studies, especially if the symptoms being looked at are based on how a person feels.
  • The paper talks about when the placebo effect can trick researchers during comparisons of treatments and shows how it was used to look at different therapies for depression.
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Background: It has been reported that people with COVID-19 and pre-existing autoantibodies against type I interferons are likely to develop an inflammatory cytokine storm responsible for severe respiratory symptoms. Since interleukin 6 (IL-6) is one of the cytokines released during this inflammatory process, IL-6 blocking agents have been used for treating people with severe COVID-19.

Objectives: To update the evidence on the effectiveness and safety of IL-6 blocking agents compared to standard care alone or to a placebo for people with COVID-19.

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Objectives: To examine the methodological characteristics of systematic reviews and meta-analyses including observational studies (OSs) and randomized controlled trials (RCTs), in various medical disciplines.

Study Design And Setting: We searched Medline via PubMed to identify systematic reviews of interventions including RCTs and OSs published in 110 journals from 2015 to 2019. We extracted in duplicate general and methodological characteristics of the systematic review.

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Outputs from living evidence syntheses projects have been used widely during the pandemic by guideline developers to form evidence-based recommendations. However, the needs of different stakeholders cannot be accommodated by solely providing pre-defined non amendable numerical summaries. Stakeholders also need to understand the data and perform their own exploratory analyses.

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Background: Meta-analyses of the voluminous scientific literature on the impact of very preterm (VPT, <32 weeks' gestation) birth on cognition find a marked deficit in intelligence quotient (IQ) among children born VPT relative to term-born peers, but with unexplained between-study heterogeneity in effect size.

Objectives: To conduct an umbrella review to describe the design and methodology of primary studies and to assess whether methodological heterogeneity affects the results of meta-analyses.

Data Sources: Primary studies from five systematic reviews with meta-analysis on VPT birth and childhood IQ.

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Article Synopsis
  • The study aims to visualize and group competing interventions in network meta-analysis (NMA) by considering multiple outcomes and stakeholders' preferences using graphical methods and conjoint analysis.
  • The research involved reanalyzing 212 psychosis trials, focusing on outcomes like symptom reduction, treatment discontinuation, and weight gain, employing multidimensional scaling and hierarchical clustering.
  • Ultimately, the findings assist decision-makers in identifying optimal interventions by factoring in benefit-risk balance and patient preferences, leading to more informed choices in treatment selection.
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Introduction: There have been important advances in the use of electroconvulsive therapy (ECT) to treat major depressive episodes. These include variations to the type of stimulus the brain regions stimulated, and the stimulus parameters (eg, stimulus duration/pulse width). Our aim is to investigate ECT types using a network meta-analysis (NMA) approach and report on comparative treatment efficacy, cognitive side effects and acceptability.

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Background: Different forms of vaccines have been developed to prevent the SARS-CoV-2 virus and subsequent COVID-19 disease. Several are in widespread use globally.  OBJECTIVES: To assess the efficacy and safety of COVID-19 vaccines (as a full primary vaccination series or a booster dose) against SARS-CoV-2.

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Background: As comparatively few trials in subgroups of patients with schizophrenia have been done, clinicians need to know whether they can rely on the results of randomised controlled trials (RCTs) in the general population of patients with schizophrenia. We aimed to compare the efficacy and side-effects of antipsychotic drugs in different subgroups.

Methods: In this systematic review and meta-analysis, we searched reference lists of previous systematic reviews and meta-analyses, the Cochrane Schizophrenia Group's Study-Based Register (from database inception to April 27, 2020), and PubMed (from April 1, 2020 to June 14, 2021).

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Network meta-analysis (NMA) of rare events has attracted little attention in the literature. Until recently, networks of interventions with rare events were analyzed using the inverse-variance NMA approach. However, when events are rare the normal approximations made by this model can be poor and effect estimates are potentially biased.

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  • There is no clear agreement on the best catheter ablation strategy for treating atrial fibrillation (AF), prompting a study to compare different approaches through network meta-analysis.
  • A systematic review of 67 randomized controlled trials involving nearly 10,000 patients revealed that strategies combining pulmonary vein isolation (PVI) with other techniques significantly reduced the risk of arrhythmia recurrence compared to PVI alone.
  • The findings suggested that combining PVI with methods like renal denervation and additional ablation lines enhances its effectiveness, while overall safety remains consistent across different strategies.
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  • - Psoriasis is a chronic disease with symptoms affecting the skin and joints, significantly lowering quality of life; while no cure exists, various treatment options help manage symptoms.
  • - This study aims to evaluate the efficacy and safety of different psoriasis treatments (including systemic agents and biologics) through a network meta-analysis to determine their effectiveness and rank them accordingly.
  • - The researchers reviewed randomized controlled trials involving adults with moderate-to-severe psoriasis, focusing on outcomes like skin improvement and serious adverse events to assess treatment effectiveness and safety.
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  • - The study examines various catheter ablation (CA) strategies for treating paroxysmal atrial fibrillation (PAF) to determine their efficacy and safety, involving data from 43 randomized controlled trials with over 6,700 patients.
  • - Results showed that adding treatments like adjuvant ablation or sympathetic modulation to pulmonary vein isolation (PVI) significantly reduced the risk of arrhythmia recurrence compared to PVI with radiofrequency alone, while PVI with radiofrequency was better than non-PVI strategies.
  • - No major safety differences were found among the various CA strategies, indicating that while different PVI methods are generally similar in effectiveness, combining them with additional treatments could enhance results for patients.
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Background: Interleukin-1 (IL-1) blocking agents have been used for treating severe coronavirus disease 2019 (COVID-19), on the premise that their immunomodulatory effect might be beneficial in people with COVID-19.

Objectives: To assess the effects of IL-1 blocking agents compared with standard care alone or with placebo on effectiveness and safety outcomes in people with COVID-19. We will update this assessment regularly.

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Background: Meta-analyses of studies on very preterm (VPT) birth and childhood cognition select primary studies using gestational age inclusion criteria only, while others also include birthweight criteria. The consequences of this choice are unknown.

Objective: The objective of this study was to describe the gestational age (GA) and birthweight (BW) criteria used in studies of VPT birth and cognition and to investigate whether meta-analysis results differ based on these criteria.

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Background: The Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) extension statement for network meta-analysis (NMA) published in 2015 promotes comprehensive reporting in published systematic reviews with NMA. PRISMA-NMA includes 32 items: 27 core items as indicated in the 2009 PRISMA Statement and five items specific to the reporting of NMAs. Although NMA reporting is improving, it is unclear whether PRISMA-NMA has accelerated this improvement.

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