With the rapid advancement of medical informatization, clinical diagnostic and treatment data are becoming extensively available, providing a solid foundation for real world study.This study focuses on prescription compatibility patterns of constipation patients who have received traditional Chinese medicine (TCM) treatment at Yueyang Hospital of Integrated Traditional Chinese and Western Medicine affiliated to Shanghai University of Traditional Chinese Medicine over a 4-year period.Analyzing TCM prescription data from 16,416 constipation patients, the study aims to identify distinctive prescription patterns unique to the hospital.The identified core prescription is validated through randomized double-blind placebo-controlled trials and network pharmacology analysis.Clinical research demonstrates an overall effective rate of 77.78% for the core prescription, significantly surpassing the placebo group (33.33%).Network pharmacology analysis indicates that the core prescription may modulate biological pathways, including calcium ion signaling, MAPK signaling, cholinergic synapses, and GABAergic synapses.The results suggest that knowledge discovery techniques based on clinical data can uncover novel constipation treatments (Houpo, Laifuzi, Roucongrong, and Dafupi) that represent the hospital's characteristics and differ from commonly used traditional formulations.This study explores a research paradigm for summarizing clinical experience and provides a pathway for clinical knowledge discovery based on big data.

clinical data mining  /  real world study in traditional Chinese medicine  /  constipation  /  network pharmacology  /  randomized controlled trials