Department of Psychosis Studies, Institute of Psychiatry, King's Health Partners, King's College London, De Crespigny Park, London, SE5 8AF UK.
Am J Psychiatry. 2010 Jul;167(7):828-35. doi: 10.1176/appi.ajp.2010.09070937. Epub 2010 May 3.
A recent meta-analysis identified processing speed inefficiency as the largest single cognitive impairment in schizophrenia. However, the effect of potential moderator variables, such as medication status and severity of illness, remained unclear. The authors present an extended meta-analysis of processing speed and other specific cognitive functions in schizophrenia and examine the role of potential moderator variables.
In addition to the studies identified in the original analysis, subsequently published articles were identified via systematic searches of MEDLINE and PsycINFO for the period from May 2006 to January 2009. The authors extracted data for potential moderator variables, including publication year; severity of illness; chlorpromazine equivalent daily dose; and mean IQ, mean age, and sample size for each study. Effect sizes were calculated for all measures, and meta-influence and homogeneity analyses were conducted.
Eleven studies were added to the original analysis, increasing the schizophrenia sample size from 1,915 to 4,135. The largest effect size was for coding tasks (g=-1.50), followed by category fluency (g=-1.31). However, for coding tasks, variation in effect size magnitude attributable to heterogeneity was substantial. Metaregression analyses indicated that three moderator variables were related to coding task effect size: publication year, IQ difference from comparison subjects, and chlorpromazine equivalent daily dose. There was a difference of 0.8 effect size units between studies with low compared with high chlorpromazine equivalent daily dose. No significant relationships were found between any moderators and the other cognitive tasks included in the meta-analysis.
The processing speed impairment in schizophrenia is substantially affected by several moderating factors, in particular antipsychotic medication dosage.
最近的一项荟萃分析确定处理速度效率低下是精神分裂症最大的单一认知障碍。然而,潜在的调节变量的影响,如药物状态和疾病严重程度,仍不清楚。作者对精神分裂症的处理速度和其他特定认知功能进行了扩展的荟萃分析,并研究了潜在调节变量的作用。
除了原始分析中确定的研究外,作者还通过系统搜索 MEDLINE 和 PsycINFO,确定了 2006 年 5 月至 2009 年 1 月期间发表的后续文章。作者提取了潜在调节变量的数据,包括出版年份、疾病严重程度、氯丙嗪等效日剂量以及每项研究的平均智商、平均年龄和样本量。对所有指标进行了效应量的计算,并进行了元影响和同质性分析。
在原始分析中增加了 11 项研究,将精神分裂症样本量从 1915 例增加到 4135 例。最大的效应量是编码任务(g=-1.50),其次是类别流畅性(g=-1.31)。然而,对于编码任务,由于异质性导致的效应量大小的变化很大。元回归分析表明,三个调节变量与编码任务的效应量有关:出版年份、与对照组的智商差异和氯丙嗪等效日剂量。低氯丙嗪等效日剂量组与高氯丙嗪等效日剂量组的效应量相差 0.8 个单位。在元分析中包含的其他认知任务与任何调节变量之间没有发现显著关系。
精神分裂症的处理速度损伤受到几个调节因素的显著影响,特别是抗精神病药物剂量。