ArticleMedicine2020
Efficacy and safety of Chinese herbal medicine on blood glucose fluctuations in patients with type 2 diabetes mellitus: A protocol of systematic review and meta-analysis.
Article in Medicine, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.
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Who cites it
7 citing papers in PubMed, 8 citations in OpenAlex.
- Mulberry Twig Alkaloids Combined With Insulin Infusion: Effects on Blood Glucose Variability in Type 2 Diabetes.Medical science monitor : international medical journal of experimental and clinical research · 2026Trial
- Adjuvant therapy with Traditional Chinese Medicine and glycemic control in patients with type 2 diabetes mellitus: a retrospective cohort study.Journal of traditional Chinese medicine = Chung i tsa chih ying wen pan · 2025Article
- Prevalence and factors associated with Chinese herbal medicine use among middle-aged and older Chinese adults with diabetes mellitus.Frontiers in pharmacology · 2025Article
- Clinical significance of circulating long non-coding RNA SNHG1 in type 2 diabetes mellitus and its association with cell proliferation of pancreatic β-cell.BMC endocrine disorders · 2024Article
- The Anti-Diabetic Effects of Medicinal Plants Belonging to the Liliaceae Family: Potential Alpha Glucosidase Inhibitors.Drug design, development and therapy · 2024Review
- A real-world observational study on the effect of Qingre Lishi decoction on glycemic profile using continuous glucose monitoring in obese type 2 diabetes adults.Frontiers in endocrinology · 2024Observational
- Jiedutongluotiaogan formula restores pancreatic function by suppressing excessive autophagy and endoplasmic reticulum stress.Pharmaceutical biology · 2022Article
Corrections and comments
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Authors and funding
9 authors at 1 institution in 3 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundAs one of the major chronic diseases that seriously threaten human health, type 2 diabetes mellitus (T2DM) has become a global public health problem. Blood glucose fluctuation is a risk factor independent of hyperglycemia. At present, the measures to treat blood glucose fluctuations in patients with T2DM are insufficient in effectiveness and safety. Medical practice and clinical studies have proved that Chinese herbal medicine has obvious advantages in reducing blood glucose fluctuations. In this systematic review, we will assess the efficacy and safety of Chinese herbal medicine in the treatment of blood glucose fluctuations in patients with T2DM.
methodsWe will search related literature of PubMed, Embase, Cochrane Library, Web of Science, China Biology Medicine Database, China National Knowledge Infrastructure, China Science and Technology Journal Database, and Wanfang Database, and will manually search grey documents such as literature such as conference articles and references articles. Eligible randomized controlled trials will be screened based on inclusion criteria, and data extraction, risk of bias assessment, publication bias assessment, subgroup analysis, and quality assessment will be performed. Review Manager version 5.3 software and stata version 13 software will be used for data analysis. Each process is independently conducted by 2 researchers, and if there is any objection, it will be submitted to the third researcher for resolution.
resultsThis study will provide evidence for the efficacy and safety of Chinese herbal medicine in the treatment of blood glucose fluctuations in patients with T2DM. Outcome measures include mean amplitude of glycemic excursions, 24 hours mean blood glucose, standard deviations of blood glucose, mean of daily differences, coefficient of variation, glucose time in range, fasting blood glucose, 2 hours postprandial blood glucose, glycated hemoglobin, HOMA-β, HOMA-IR, quality of life questionnaire, traditional Chinese medicine syndrome score, and adverse event.
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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.