ArticleTrials2013
Exploring effective core drug patterns in primary insomnia treatment with Chinese herbal medicine: study protocol for a randomized controlled trial.
Article in Trials, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT01613183 (Exploratory Study of Effective Core Formula of Chinese Medicine to Treat Primary Insomnia), which is not on this map. Cited by 6 papers, 1 of them a synthesis that pooled it.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Exploratory Study of Effective Core Formula of Chinese Medicine to Treat Primary Insomnia
Who cites it
6 citing papers in PubMed, 1 synthesis or guideline pooled it, 15 citations in OpenAlex.
- Effect of traditional Chinese medicine on sleep and blood pressure in patients with comorbid hypertension-insomnia: a systematic review and meta-analysis.Frontiers in psychiatry · 2026Pooled it
- A Core Drug Discovery Framework from Large-Scale Literature for Cold Pathogenic Disease Treatment in Traditional Chinese Medicine.Journal of healthcare engineering · 2021Article
- A Semantic Analysis and Community Detection-Based Artificial Intelligence Model for Core Herb Discovery from the Literature: Taking Chronic Glomerulonephritis Treatment as a Case Study.Computational and mathematical methods in medicine · 2020Article
- Multistage analysis method for detection of effective herb prescription from clinical data.Frontiers of medicine · 2018Observational
- Clinical phenotype network: the underlying mechanism for personalized diagnosis and treatment of traditional Chinese medicine.Frontiers of medicine · 2014Review
- Investigation into the influence of physician for treatment based on syndrome differentiation.Evidence-based complementary and alternative medicine : eCAM · 2013Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
6 authors at 3 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundChinese herbal medicine is one of the most popular Chinese medicine (CM) therapies for primary insomnia. One of the important characteristics of CM is that different Chinese clinicians give different prescriptions even for the same patient. However, there must be some fixed drug patterns in every clinician's prescriptions. This study aims to screen the effective core drug patterns in primary insomnia treatment of three prestigious Chinese clinicians. METHODS/
designA triple-blind, randomized, placebo-controlled, parallel-group clinical trial will be performed. Three clinicians will diagnose and treat every eligible patient individually and independently, producing three prescriptions from three clinicians for every patient. Patients will equally be randomized to one of four groups - medical group A, medical group B, medical group C, or placebo group - and observed for efficacy of treatment. The sample will include primary insomnia patients meeting DSM IV-TR criteria, Spiegel scale score >18, and age 18 to 65 years. A sequential design is employed. Interim analysis will be conducted when between 80 and 160 patients complete the study. The interim study could be stopped and treated as final if a statistically significant difference between treatment and placebo groups can be obtained and core effective drug patterns can be determined. Otherwise, the study continues until the maximum sample size reaches 300. Treatment of the CM group is one of three Chinese clinicians' prescriptions, who provide independently prescriptions based on their own CM theory and the patient's disease condition. Assessment will be by sleep diary and Pittsburgh sleep quality index, and CM symptoms and signs will be measured. Primary outcome is total sleep time. Assessment will be carried out at the washout period, weeks 1, 2, 3, and 4 and 4th week after the end of treatment. Effectiveness analysis will be per intent to treat. A multi-dimension association rule and scale-free networks method will be used to explore the effective core drug patterns. DISCUSSION: The effective core drug patterns will be found through analyzing several prestigious CM clinicians' treatment information. Screening the effective core drug patterns from prestigious clinicians can accelerate the development of new CM drugs.
trial registrationNCT01613183.
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