Multistage Analysis Method for Detection of Effective Herb Prescription from Clinical Data

Overview

Journal Front Med

Specialty General Medicine

Date 2017 Jun 18

PMID 28623541

Citations 6

Authors

Kuo Yang

Runshun Zhang

Liyun He

Yubing Li

Wenwen Liu

Changhe Yu

Yanhong Zhang

Xinlong Li

Yan Liu

Weiming Xu

Xuezhong Zhou

Baoyan Liu

Affiliations

Soon will be listed here.

Abstract

Determining effective traditional Chinese medicine (TCM) treatments for specific disease conditions or particular patient groups is a difficult issue that necessitates investigation because of the complicated personalized manifestations in real-world patients and the individualized combination therapies prescribed in clinical settings. In this study, a multistage analysis method that integrates propensity case matching, complex network analysis, and herb set enrichment analysis was proposed to identify effective herb prescriptions for particular diseases (e.g., insomnia). First, propensity case matching was applied to match clinical cases. Then, core network extraction and herb set enrichment were combined to detect core effective herb prescriptions. Effectiveness-based mutual information was used to detect strong herb-symptom relationships. This method was applied on a TCM clinical data set with 955 patients collected from well-designed observational studies. Results revealed that groups of herb prescriptions with higher effectiveness rates (76.9% vs. 42.8% for matched samples; 94.2% vs. 84.9% for all samples) compared with the original prescriptions were found. Particular patient groups with symptom manifestations were also identified to help investigate the indications of the effective herb prescriptions.

Citing Articles

Model informed precision medicine of Chinese herbal medicines formulas-A multi-scale mechanistic intelligent model.

Qian Y, Wang X, Cai L, Han J, Huang Z, Lou Y J Pharm Anal. 2024; 14(4):100914.

PMID: 38694562 PMC: 11061219. DOI: 10.1016/j.jpha.2023.12.004.

TCMM: A unified database for traditional Chinese medicine modernization and therapeutic innovations.

Ren Z, Ren Y, Li Z, Xu H Comput Struct Biotechnol J. 2024; 23:1619-1630.

PMID: 38680873 PMC: 11047297. DOI: 10.1016/j.csbj.2024.04.016.

A Machine Learning Approach for Recommending Herbal Formulae with Enhanced Interpretability and Applicability.

Lee W, Lee Y, Lee S, Kim Y, Kim J Biomolecules. 2022; 12(11).

PMID: 36358954 PMC: 9687459. DOI: 10.3390/biom12111604.

TCMPR: TCM Prescription Recommendation Based on Subnetwork Term Mapping and Deep Learning.

Dong X, Zheng Y, Shu Z, Chang K, Xia J, Zhu Q Biomed Res Int. 2022; 2022:4845726.

PMID: 35224094 PMC: 8872682. DOI: 10.1155/2022/4845726.

End-to-End Models to Imitate Traditional Chinese Medicine Syndrome Differentiation in Lung Cancer Diagnosis: Model Development and Validation.

Liu Z, He H, Yan S, Wang Y, Yang T, Li G JMIR Med Inform. 2020; 8(6):e17821.

PMID: 32543445 PMC: 7327597. DOI: 10.2196/17821.

References

DAgostino Jr R . Propensity score methods for bias reduction in the comparison of a treatment to a non-randomized control group. Stat Med. 1998; 17(19):2265-81. DOI: 10.1002/(sici)1097-0258(19981015)17:19<2265::aid-sim918>3.0.co;2-b. View

Subramanian A, Tamayo P, Mootha V, Mukherjee S, Ebert B, Gillette M . Gene set enrichment analysis: a knowledge-based approach for interpreting genome-wide expression profiles. Proc Natl Acad Sci U S A. 2005; 102(43):15545-50. PMC: 1239896. DOI: 10.1073/pnas.0506580102. View

Zhang N, Yuan S, Chen T, Wang Y . Latent tree models and diagnosis in traditional Chinese medicine. Artif Intell Med. 2007; 42(3):229-45. DOI: 10.1016/j.artmed.2007.10.004. View

Jiang L, Liu B, Xie Q, Yang S, He L, Zhang R . Investigation into the influence of physician for treatment based on syndrome differentiation. Evid Based Complement Alternat Med. 2013; 2013:587234. PMC: 3830859. DOI: 10.1155/2013/587234. View

Chen T, Zhou X, Zhang R, Zhang L . Discovery of regularities in the use of herbs in Chinese medicine prescriptions. Chin J Integr Med. 2011; 18(2):88-92. DOI: 10.1007/s11655-011-0860-6. View

Yan S, Zhang R, Zhou X, Li P, He L, Liu B . Exploring effective core drug patterns in primary insomnia treatment with Chinese herbal medicine: study protocol for a randomized controlled trial. Trials. 2013; 14:61. PMC: 3599277. DOI: 10.1186/1745-6215-14-61. View

Merico D, Isserlin R, Stueker O, Emili A, Bader G . Enrichment map: a network-based method for gene-set enrichment visualization and interpretation. PLoS One. 2010; 5(11):e13984. PMC: 2981572. DOI: 10.1371/journal.pone.0013984. View

Li Y, Zhou X, Zhang R, Wang Y, Peng Y, Hu J . Detection of herb-symptom associations from traditional chinese medicine clinical data. Evid Based Complement Alternat Med. 2015; 2015:270450. PMC: 4305614. DOI: 10.1155/2015/270450. View

Ollivier H, Zurek W . Quantum discord: a measure of the quantumness of correlations. Phys Rev Lett. 2002; 88(1):017901. DOI: 10.1103/PhysRevLett.88.017901. View

10.

Li P, Chen J, Wang J, Zhou W, Wang X, Li B . Systems pharmacology strategies for drug discovery and combination with applications to cardiovascular diseases. J Ethnopharmacol. 2013; 151(1):93-107. DOI: 10.1016/j.jep.2013.07.001. View

11.

Yeung W, Chung K, Poon M, Ho F, Zhang S, Zhang Z . Chinese herbal medicine for insomnia: a systematic review of randomized controlled trials. Sleep Med Rev. 2012; 16(6):497-507. DOI: 10.1016/j.smrv.2011.12.005. View

12.

Chen J, Poon J, Poon S, Xu L, Sze D . Mining Symptom-Herb Patterns from Patient Records Using Tripartite Graph. Evid Based Complement Alternat Med. 2015; 2015:435085. PMC: 4475711. DOI: 10.1155/2015/435085. View

13.

Poon S, Poon J, McGrane M, Zhou X, Kwan P, Zhang R . A novel approach in discovering significant interactions from TCM patient prescription data. Int J Data Min Bioinform. 2011; 5(4):353-68. DOI: 10.1504/ijdmb.2011.041553. View

14.

Zhou X, Peng Y, Liu B . Text mining for traditional Chinese medical knowledge discovery: a survey. J Biomed Inform. 2010; 43(4):650-60. DOI: 10.1016/j.jbi.2010.01.002. View

15.

Lu A, Jia H, Xiao C, Lu Q . Theory of traditional Chinese medicine and therapeutic method of diseases. World J Gastroenterol. 2004; 10(13):1854-6. PMC: 4572216. DOI: 10.3748/wjg.v10.i13.1854. View

16.

Li Z, Pan S . Comparative study on WHO Western Pacific Region and World Federation of Chinese Medicine Societies international standard terminologies on traditional medicine: an analysis of the Five Sensory Organs. Zhong Xi Yi Jie He Xue Bao. 2009; 7(2):183-6. DOI: 10.3736/jcim20090218. View

17.

Liu B, Zhou X, Wang Y, Hu J, He L, Zhang R . Data processing and analysis in real-world traditional Chinese medicine clinical data: challenges and approaches. Stat Med. 2011; 31(7):653-60. DOI: 10.1002/sim.4417. View

18.

Zhou X, Menche J, Barabasi A, Sharma A . Human symptoms-disease network. Nat Commun. 2014; 5:4212. DOI: 10.1038/ncomms5212. View

19.

Zhou X, Zhang R, Shah J, Rajgor D, Wang Y, Pietrobon R . Patterns of herbal combination for the treatment of insomnia commonly employed by highly experienced Chinese medicine physicians. Chin J Integr Med. 2011; 17(9):655-62. DOI: 10.1007/s11655-011-0841-9. View

20.

Cao J . The Common Prescription Patterns Based on the Hierarchical Clustering of Herb-Pairs Efficacies. Evid Based Complement Alternat Med. 2016; 2016:6373270. PMC: 4842035. DOI: 10.1155/2016/6373270. View