Suppr超能文献

将患者分类为特定治疗反应者的多交叉模型。

The multi-crossover model for classifying patients as responders to a given treatment.

作者信息

Larsen S, Farup P, Flaten O, Osnes M

机构信息

Medstat (Centre for Administration, Design and Statistical Analysis in Medical Research), Strømmen, Norway.

出版信息

Scand J Gastroenterol. 1991 Jul;26(7):763-70. doi: 10.3109/00365529108998597.

Abstract

The strength and the validity of the multi-crossover model (MCO model) were investigated to optimalize the procedure for correctly classifying individual responders to a given therapy. One hundred and fifteen patients with non-ulcer dyspepsia from seven Norwegian hospitals were included in a 6-week double-blind MCO-designed trial with alternating weekly treatments with ranitidine and placebo. An individual effect score (X score) was calculated on the basis of the number of times the active drug was associated with less symptoms than the preceding or following placebo period. Patients categorized as responders (X score greater than or equal to 4) or unclassifiables (X scores = 2 or 3) after the MCO period continued single-blind active treatment for 4 weeks and were then reclassified by means of cross-tabulation of efficacy and adverse effects. Eighty-five per cent of the MCO responders and 62% of the 42 MCO unclassifiables were reclassified as responders. The reclassified responders were then included in a single-blind follow-up placebo period until relapse or for a maximum of 8 weeks. The relapse rate was significantly greater (p less than 0.01) and the time to relapse significantly shorter (p less than 0.01) in the group of MCO responders than in the MCO unclassifiables. The large response and relapse rates in the group of MCO responders verify that the MCO model is a reliable method for correctly classifying responders to treatment. Our results indicate that by including patients with an X score of 3 in the definition of 'responder', the MCO model could be modified to optimalize the procedure for correct classification.

摘要

为优化对特定治疗的个体反应者进行正确分类的程序,对多交叉模型(MCO模型)的强度和有效性进行了研究。来自挪威七家医院的115名非溃疡性消化不良患者被纳入一项为期6周的双盲MCO设计试验,每周交替使用雷尼替丁和安慰剂进行治疗。根据活性药物与前一或后一安慰剂期相比症状较少的次数计算个体效应评分(X评分)。在MCO期后被分类为反应者(X评分大于或等于4)或无法分类者(X评分为2或3)的患者继续进行为期4周的单盲活性治疗,然后通过疗效和不良反应的交叉表重新分类。85%的MCO反应者和42名MCO无法分类者中的62%被重新分类为反应者。然后将重新分类的反应者纳入单盲随访安慰剂期,直至复发或最长8周。MCO反应者组的复发率显著更高(p<0.01),复发时间显著更短(p<0.01),高于MCO无法分类者组。MCO反应者组的高反应率和复发率证实了MCO模型是一种正确分类治疗反应者的可靠方法。我们的结果表明,通过在“反应者”的定义中纳入X评分为3的患者,可以对MCO模型进行修改,以优化正确分类的程序。

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验