Suppr超能文献

对处于风险状态的个体进行干预以预防向精神病状态的转变。

Intervention in the at-risk state to prevent transition to psychosis.

作者信息

Ruhrmann Stephan, Schultze-Lutter Frauke, Klosterkötter Joachim

机构信息

Department of Psychiatry and Psychotherapy, University of Cologne, Cologne, Germany.

出版信息

Curr Opin Psychiatry. 2009 Mar;22(2):177-83. doi: 10.1097/YCO.0b013e328324b687.

Abstract

PURPOSE OF REVIEW

The number of intervention studies aiming to prevent psychosis is still small. Follow-up data of the first studies were published during the last year and neuroprotection has become an important issue.

RECENT FINDINGS

Initially superior effects of pharmacological or cognitive intervention reported by the first studies in the field became less clear about 3 years after cessation of intervention; however, a common problem of these first trials is a small sample size resulting in a lack of sufficient statistical power. The first studies of interventions thought to act as primarily neuroprotective yielded promising findings; however, further studies are needed to evaluate the preventive as well as the neuroprotective efficacy of these approaches.

SUMMARY

Besides methodologically sound studies, improved enrichment strategies are required as well as risk-adapted intervention strategies, guided by evidence-based clinical staging algorithms. Furthermore, the current concept of psychosis prevention, requiring an intervention to show long-lasting effects even after cessation, needs reconsideration. Approaches as used for relapse prevention in psychosis or for chronic at-risk states in internal medicine may help to maintain the initial superior prophylactic effects.

摘要

综述目的

旨在预防精神病的干预研究数量仍然较少。首批研究的随访数据于去年公布,神经保护已成为一个重要问题。

最新发现

该领域首批研究报告的药物或认知干预的初期优势效应在干预停止约3年后变得不那么明显;然而,这些首批试验的一个共同问题是样本量小,导致缺乏足够的统计效力。首批被认为主要具有神经保护作用的干预研究产生了有前景的结果;然而,需要进一步研究来评估这些方法的预防以及神经保护功效。

总结

除了方法学上合理的研究外,还需要改进富集策略以及基于循证临床分期算法的风险适应性干预策略。此外,目前的精神病预防概念,即要求干预即使在停止后也能显示出持久效果,需要重新考虑。用于预防精神病复发或内科慢性高危状态的方法可能有助于维持最初的优越预防效果。

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验