Analysis of syndrome and treatment patterns of Hp-related gastric diseases with traditional Chinese medicine over the past 30 years based on literature mining

<sec> <title>目的</title> 基于数据挖掘方法分析近30年中医药治疗幽门螺杆菌(Hp)相关胃病的用药特点。 </sec> <sec> <title>方法</title> 检索中英文数据库内中医药治疗Hp相关胃病的临床研究文献,共检索文献14629篇,经筛选后纳入文献832篇,含处方946个,包含中药303种,总计频次9717次。使用SPSS Statistics进行频次分析(证候、中药等)及对高频药的聚类分析;应用SPSS Modeler的Apriori算法进行关联规则分析(证候-药物等)。 </sec> <sec> <title>结果</title> 核心中医证型为脾胃湿热、脾胃虚弱、肝胃不和;高频症状包括吞酸、嗳气、食欲不振等。甘草、黄连、半夏、白术、党参等为高频药物。关联分析显示黄连、蒲公英与脾胃湿热证关联密切,白术、党参与脾胃虚弱证关联密切;药物配伍以左金丸、四君子汤、半夏泻心汤中的对药及角药组合为主。 </sec> <sec> <title>结论</title> 研究结果揭示了现有文献的核心证型用药规律及经典方剂的常见配伍,但同时发现现有处方同质化严重,未来借助AI技术检测真实世界临床用药数据,或可发掘未知的有效处方和特效中药,丰富现有Hp相关胃病的治疗方法。 </sec>

Authors

Publication Details

Journal
Lishizhen medicine and materia medica research
Published
2025-12-01
DOI
https://doi.org/10.70976/j.1008-0805.szgygy-2025-2431
Primary Topic
Traditional Chinese Medicine Studies
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Analysis of syndrome and treatment patterns of Hp-related gastric diseases with traditional Chinese medicine over the past 30 years based on literature mining

Sijia Yan, Lijiang Ren, Ping Wang, Jiaxi YANG
Lishizhen medicine and materia medica research
Traditional Chinese Medicine Studies
article

Analysis of syndrome and treatment patterns of Hp-related gastric diseases with traditional Chinese medicine over the past 30 years based on literature mining

Sijia Yan, Lijiang Ren, Ping Wang, Jiaxi YANG
article en

Abstract

<sec> <title>目的</title> 基于数据挖掘方法分析近30年中医药治疗幽门螺杆菌(Hp)相关胃病的用药特点。 </sec> <sec> <title>方法</title> 检索中英文数据库内中医药治疗Hp相关胃病的临床研究文献,共检索文献14629篇,经筛选后纳入文献832篇,含处方946个,包含中药303种,总计频次9717次。使用SPSS Statistics进行频次分析(证候、中药等)及对高频药的聚类分析;应用SPSS Modeler的Apriori算法进行关联规则分析(证候-药物等)。 </sec> <sec> <title>结果</title> 核心中医证型为脾胃湿热、脾胃虚弱、肝胃不和;高频症状包括吞酸、嗳气、食欲不振等。甘草、黄连、半夏、白术、党参等为高频药物。关联分析显示黄连、蒲公英与脾胃湿热证关联密切,白术、党参与脾胃虚弱证关联密切;药物配伍以左金丸、四君子汤、半夏泻心汤中的对药及角药组合为主。 </sec> <sec> <title>结论</title> 研究结果揭示了现有文献的核心证型用药规律及经典方剂的常见配伍,但同时发现现有处方同质化严重,未来借助AI技术检测真实世界临床用药数据,或可发掘未知的有效处方和特效中药,丰富现有Hp相关胃病的治疗方法。 </sec>

Lishizhen medicine and materia medica researchVol. 36(24)
Openalex Percentile: Top 21%
Traditional Chinese Medicine Studies
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.