SynthesisJournal of diabetes research2022
Evidence and Potential Mechanisms of Traditional Chinese Medicine for the Adjuvant Treatment of Coronary Heart Disease in Patients with Diabetes Mellitus: A Systematic Review and Meta-Analysis with Trial Sequential Analysis.
Synthesis in Journal of diabetes research, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers, 1 of them a synthesis that pooled it.
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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.
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Who cites it
9 citing papers in PubMed, 1 synthesis or guideline pooled it, 14 citations in OpenAlex.
- Traditional Chinese medicine lowering lipid levels and cardiovascular events across baseline lipid levels among coronary heart disease: a meta-analysis of randomized controlled trials.Frontiers in cardiovascular medicine · 2024Pooled it
- A bibliometric analysis of systematic reviews and meta-analyses on diabetes mellitus: global research trends from scopus database (1988-2024).Cardiovascular diabetology. Endocrinology reports · 2026Review
- The prevalence, determinants, and mechanisms of traditional Chinese medicine service utilization among healthcare professionals: a study based on the Andersen Behavioral Model.Frontiers in public health · 2026Article
- Article
- Traditional Chinese medicine in the prevention of diabetes mellitus and cardiovascular complications: mechanisms and therapeutic approaches.Frontiers in pharmacology · 2025Review
- Fu-Fang-Qi-Di-Hua-Yu-Tang Improves Diabetic Macrovascular Disease via PI3K/AKT Pathway Regulation.Diabetes, metabolic syndrome and obesity : targets and therapy · 2025Article
- Effects of Additional Chinese Herbal Medicines Treatment in Patients with Type 2 Diabetes Mellitus Combined with Stable Angina Pectoris: A Retrospective Cohort Study.Diabetes, metabolic syndrome and obesity : targets and therapy · 2025Article
- Dilemmas in Elderly Diabetes and Clinical Practice Involving Traditional Chinese Medicine.Pharmaceuticals (Basel, Switzerland) · 2024Review
- Network Pharmacology and Experimental Verification: SanQi-DanShen Treats Coronary Heart Disease by Inhibiting the PI3K/AKT Signaling Pathway.Drug design, development and therapy · 2024Article
Corrections and comments
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Authors and funding
10 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Traditional Chinese medicine (TCM) has long been used to treat diabetes mellitus and angina. It has also gained widespread clinical applications in China as a common adjuvant treatment. Although there is high-quality evidence that TCM is effective in regulating glucose and lipid metabolism, the cardiovascular protective effect of TCM in the treatment of diabetes mellitus has not been fully elucidated, especially in patients with both diabetes mellitus and coronary heart disease (CHD). We systematically assessed the efficacy and safety of TCM for the adjuvant treatment of patients with CHD and diabetes mellitus and examined the pharmacological effects and potential mechanisms of TCM medication/herbs on diabetes mellitus with CHD. We found that TCM could improve the control effect of conventional treatment on cardiac function, hemorheology, blood glucose, blood lipid, and inflammation, thus reducing the frequency of angina and the incidence of cardiovascular events and all-cause mortality. These findings indicate that TCM may be used as a complementary approach for patients with diabetes mellitus and CHD. Nevertheless, more rigorously designed randomized controlled trials and long-term evaluations are needed to support these findings.
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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.