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晚期正性潜能作为物质使用中动机相关性的候选生物标志物:来自荟萃分析的证据。

Late positive potential as a candidate biomarker of motivational relevance in substance use: Evidence from a meta-analysis.

机构信息

Faillace Department of Psychiatry and Behavioral Sciences, University of Texas Health Science Center at Houston, 1941 East Road, Houston, TX 77054, USA.

Faillace Department of Psychiatry and Behavioral Sciences, University of Texas Health Science Center at Houston, 1941 East Road, Houston, TX 77054, USA.

出版信息

Neurosci Biobehav Rev. 2022 Oct;141:104835. doi: 10.1016/j.neubiorev.2022.104835. Epub 2022 Aug 27.

Abstract

The objective of the current meta-analysis was to assess the effect size of the Late Positive Potential (LPP) to drug and emotional cues in substance users compared to controls. The secondary objective was to test for moderation by: age, gender, years of use, use status, and substance type. Search was performed in August 2021 using PubMed. Inclusion criteria were: substance use disorder/dependence or validated self-report, LPP means, healthy control comparison, non-acute drug study, data available, peer-reviewed journal, English, and human participants. Selection bias was tested through modified Egger's regression and exploratory 3-parameter selection model tests. Results (k = 11) indicated LPP to drug cues was larger in substance use compared to control group, with a large effect size (Hedges' g=1.66, 95%CI [0.64,2.67], p = 0.005). There were no overall differences for emotional cues. Though threats of selection bias were not severe, inclusion of more studies with larger sample sizes in future meta-analyses will allow more robust tests of publication bias and more accurate measures of effect size.

摘要

本次荟萃分析的目的是评估物质使用者与对照组相比,药物和情绪线索对晚期正电位(LPP)的影响大小。次要目的是通过以下因素进行调节检验:年龄、性别、使用年限、使用状况和物质类型。2021 年 8 月在 PubMed 上进行了检索。纳入标准为:物质使用障碍/依赖或经过验证的自我报告、LPP 平均值、健康对照组比较、非急性药物研究、数据可用、同行评审期刊、英语和人类参与者。通过修正后的 Egger 回归和探索性 3 参数选择模型检验来测试选择偏倚。结果(k=11)表明,与对照组相比,物质使用者对药物线索的 LPP 更大,具有较大的效应量(Hedges'g=1.66,95%CI [0.64,2.67],p=0.005)。情绪线索没有总体差异。虽然存在选择偏倚的威胁,但未来的荟萃分析纳入更多具有更大样本量的研究,将允许对发表偏倚进行更稳健的检验,并对效应量进行更准确的衡量。

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