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真实世界急诊环境中重度激越的药物治疗效果:个体参与者数据网络荟萃分析方案。

Effectiveness of pharmacological treatments for severe agitation in real-world emergency settings: protocol of individual-participant-data network meta-analysis.

机构信息

Technical University of Munich, TUM School of Medicine and Health, Department of Psychiatry and Psychotherapy, Klinikum rechts der Isar, Munich, Germany.

German Center for Mental Health (DZPG), Partner site München/Augsburg, Munich, Germany.

出版信息

Syst Rev. 2024 Aug 2;13(1):205. doi: 10.1186/s13643-024-02623-z.

Abstract

BACKGROUND

Severe psychomotor agitation and aggression often require immediate pharmacological intervention, but clear evidence-based recommendations for choosing among the multiple options are lacking. To address this gap, we plan a systematic review and individual-participant-data network meta-analysis to investigate their comparative effectiveness in real-world emergency settings with increased precision.

METHODS

We will include randomized controlled trials investigating intramuscular or intravenous pharmacological interventions, as monotherapy or in combination, in adults with severe psychomotor agitation irrespective of the underlying diagnosis and requiring rapid tranquilization in general or psychiatric emergency settings. We will exclude studies before 2002, those focusing on specific reasons for agitation and placebo-controlled trials to avoid concerns related to the transitivity assumption and potential selection biases. We will search for eligible studies in BIOSIS, CENTRAL, CINAHL Plus, Embase, LILACS, MEDLINE via Ovid, PubMed, ProQuest, PsycINFO, ClinicalTrials.gov, and WHO-ICTRP. Individual-participant data will be requested from the study authors and harmonized into a uniform format, and aggregated data will also be extracted from the studies. At least two independent reviewers will conduct the study selection, data extraction, risk-of-bias assessment using RoB 2, and applicability evaluation using the RITES tool. The primary outcome will be the number of patients achieving adequate sedation within 30 min after treatment, with secondary outcomes including the need for additional interventions and adverse events, using odds ratios as the effect size. If enough individual-participant data will be collected, we will synthesize them in a network meta-regression model within a Bayesian framework, incorporating study- and participant-level characteristics to explore potential sources of heterogeneity. In cases where individual-participant data are unavailable, potential data availability bias will be explored, and models allowing for the inclusion of studies reporting only aggregated data will be considered. We will assess the confidence in the evidence using the Confidence in Network Meta-Analysis (CINeMA) approach.

DISCUSSION

This individual-participant-data network meta-analysis aims to provide a fine-tuned synthesis of the evidence on the comparative effectiveness of pharmacological interventions for severe psychomotor agitation in real-world emergency settings. The findings from this study can greatly be provided clearer evidence-based guidance on the most effective treatments.

SYSTEMATIC REVIEW REGISTRATION

PROSPERO CRD42023402365.

摘要

背景

严重的精神运动激越和攻击行为通常需要立即进行药物干预,但缺乏针对多种选择的明确循证推荐。为了解决这一差距,我们计划进行系统评价和个体参与者数据网络荟萃分析,以在具有更高精度的真实世界紧急情况下调查它们的比较效果。

方法

我们将纳入研究肌内或静脉内药理学干预的随机对照试验,无论基础诊断如何,作为单一疗法或联合疗法,纳入需要快速镇静的严重精神运动激越的成年人,无论是在一般或精神科紧急情况下。我们将排除 2002 年以前的研究、专门针对激越原因的研究以及安慰剂对照试验,以避免与传递性假设和潜在选择偏倚相关的问题。我们将在 BIOSIS、CENTRAL、CINAHL Plus、Embase、LILACS、MEDLINE 通过 Ovid、PubMed、ProQuest、PsycINFO、ClinicalTrials.gov 和 WHO-ICTRP 中搜索符合条件的研究。将向研究作者请求个体参与者数据,并将其统一为统一格式,还将从研究中提取汇总数据。至少两名独立审查员将进行研究选择、数据提取、使用 RoB 2 进行偏倚风险评估以及使用 RITES 工具进行适用性评估。主要结局将是治疗后 30 分钟内达到足够镇静的患者数量,次要结局包括需要额外干预和不良事件,使用优势比作为效应量。如果收集到足够的个体参与者数据,我们将在贝叶斯框架内的网络荟萃回归模型中对其进行综合,纳入研究和参与者层面的特征,以探索潜在的异质性来源。在无法获得个体参与者数据的情况下,将探索潜在的数据可用性偏差,并考虑允许纳入仅报告汇总数据的研究的模型。我们将使用信心网络荟萃分析 (CINeMA) 方法评估证据的置信度。

讨论

这项个体参与者数据网络荟萃分析旨在对真实世界紧急情况下严重精神运动激越的药物干预比较效果提供更精细的综合证据。这项研究的结果可以为最有效的治疗方法提供更清晰的循证指导。

系统评价注册

PROSPERO CRD42023402365。

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