摘要
目的探索老年支气管肺癌中医证候分型,为老年肺癌的中医临床治疗提供参考,并对中医证型规范化所采用的方法学进行探讨。方法依据流行病学调查要求,检索中国知网(CNKI)1979-2009年相关文献的基础上,制定老年原发性支气管肺癌中医证候信息量表,并以此量表在303例患者中采集相关数据作为证型因子。通过聚类分析、主成分分析对数据进行归类分析处理,进而归纳出老年肺癌患者证型。结果老年原发性支气管肺癌症状及体征可被归为4个证候因子群,分别命名为脾肾阳虚、痰瘀互结;肺阴亏虚、脾气虚弱;痰热蕴肺、气滞血瘀;阴虚内热、肺气不利4个证型。结论运用聚类分析、主成分分析等数理统计方法研究中医证型,对于促进中医证型研究规范化具有一定参考价值,但该种研究模式依然存在研究结论受研究者主观因素影响的缺陷。
Objective To research Chinese medicine syndrome classification of elderly primary lung cancer so as to provide reference for clinical treatment. Methods Chinese medicine syndrome information scale for elderly primary lung cancer was es- tablished according to relative literature in CNKI from the year 1979 to 2009. Relevant data was collected as evidence factor in 303 patients. Chinese medicine syndrome of elderly primary lung cancer was summarized by cluster analysis and principal com- ponent analysis. Results Chinese medicine syndrome of elderly primary lung cancer could be classified as four syndrome groups,i, e. spleen-kidney yang deficiency with phlegm-stasis binding together, lung yin deficiency with spleen qi deficiency, phlegm-heat brewing in the lung with qi stagnation blood stasis, and yin deficiency internal heat with inhibition of lung qi. Conclusion Cluster analysis and principal component analysis are useful in researching on Chinese medicine syndrome classifi- cation, but the conclusion also could be affected by the researcher.
出处
《中医杂志》
CSCD
北大核心
2012年第16期1404-1407,1426,共5页
Journal of Traditional Chinese Medicine
基金
国家科技重大专项资助项目(2011zx09302-006-04)
关键词
原发性支气管肺癌
证候分型
聚类分析
主成分分析
老年
primary lung cancer
syndrome classification
cluster analysis
principal component analysis
elderly