SynthesisThe Cochrane database of systematic reviews2011
Ayurvedic treatments for diabetes mellitus.
Synthesis in The Cochrane database of systematic reviews, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers, 3 of them syntheses that pooled it.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
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.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
17 citing papers in PubMed, 3 syntheses or guidelines pooled it, 54 citations in OpenAlex.
- Effectiveness and safety of Ayurvedic intervention in essential hypertension: a systematic review with meta-analysis.Frontiers in pharmacology · 2025Pooled it
- Effectiveness and Safety of Ayurvedic Medicines in Type 2 Diabetes Mellitus Management: A Systematic Review and Meta-Analysis.Frontiers in pharmacology · 2022Pooled it
- Ayurvedic interventions for osteoarthritis: a systematic review and meta-analysis.Rheumatology international · 2015Pooled it
- Diabetes Management by Ayurvedic Practitioners Using a Clinical Guideline Versus Usual Practice: A Feasibility Cluster Randomized Trial in Nepal.Journal of diabetes research · 2026Trial
- Trial
- Diabetes management using a clinical guideline versus usual practice: a feasibility trial-based qualitative study among Ayurvedic practitioners and patients in Nepal.Therapeutic advances in endocrinology and metabolism · 2026Article
- Complementary and alternative medicine use among patients with type-2 diabetes mellitus attending a suburban tertiary healthcare centre in Sri Lanka.BMC complementary medicine and therapies · 2025Article
- Article
- Patient preferences for the treatment of type 2 diabetes in Australia: a discrete choice experiment.Journal of diabetes and metabolic disorders · 2022Article
- Use of Ayurveda in the Treatment of Type 2 Diabetes Mellitus.Global advances in health and medicine · 2019Article
- An update on natural compounds in the remedy of diabetes mellitus: A systematic review.Journal of traditional and complementary medicine · 2018Review
- Unproven Therapies for Diabetes and Their Implications.Advances in therapy · 2017Review
- An assessment of randomized controlled trials (RCTs) for non-communicable diseases (NCDs): more and higher quality research is required in less developed countries.Scientific reports · 2015Article
- Complementary and alternative medicine in diabetes care.Current diabetes reports · 2012Review
- Ayurveda approach in the treatment of type 2 diabetes mellitus - A case report.Journal of Ayurveda and integrative medicineArticle
- Effectiveness of polyherbal formulations for the treatment of type 2 Diabetes mellitus - A systematic review and meta-analysis.Journal of Ayurveda and integrative medicineReview
- Vasant Kusmakar Ras, an ayurvedic herbo-mineral formulation prevents the development of diabetic retinopathy in rats.Journal of Ayurveda and integrative medicineArticle
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors at 2 institutions in 2 countries.
Funding
Abstract
backgroundPatients with diabetes frequently use complimentary and alternative medications including Ayurvedic medications and hence it is important to determine their efficacy and safety.
objectivesTo assess the effects of Ayurvedic treatments for diabetes mellitus. SEARCH
methodsWe searched The Cochrane Library (issue 10, 2011), MEDLINE (until 31 August 2011), EMBASE (until 31 August 2011), AMED (until 14 October 2011), the database of randomised trials from South Asia (until 14 October 2011), the database of the grey literature (OpenSigle, until 14 October 2011) and databases of ongoing trials (until 14 October 2011). In addition we performed hand searches of several journals and reference lists of potentially relevant trials. SELECTION CRITERIA: We included randomized trials of at least two months duration of Ayurvedic interventions for diabetes mellitus. Participants of both genders, all ages and any type of diabetes were included irrespective of duration of diabetes, antidiabetic treatment, comorbidity or diabetes related complications. DATA COLLECTION AND ANALYSIS: Two authors independently extracted data. Risk of bias of trials was evaluated as indicated in the Cochrane Handbook for Systematic Reviews of Intervention. MAIN
resultsResults of only a limited number of studies could be combined, in view of different types of interventions and variable quality of data. We found six trials of proprietary herbal mixtures and one of whole system Ayurvedic treatment. These studies enrolled 354 participants ( 172 on treatment, 158 on controls, 24 allocation unknown). The treatment duration ranged from 3 to 6 months. All these studies included adults with type 2 diabetes mellitus.With regard to our primary outcomes, significant reductions in glycosylated haemoglobin A1c (HbA1c), fasting blood sugar (FBS) or both were observed with Diabecon, Inolter and Cogent DB compared to placebo or no additional treatment, while no significant hypoglycaemic response was found with Pancreas tonic and Hyponidd treatment. The study of whole system Ayurvedic treatment did not provide data on HbA1c and FBS values. One study of Pancreas tonic treatment did not detect a significant change in health-related quality of life. The main adverse effects reported were drug hypersensitivity (one study, one patient in the treatment arm); hypoglycaemic episodes (one study, one participant in the treatment arm; none had severe hypoglycaemia) and gastrointestinal side effects in one study (1 of 20 in the intervention group and 0 of 20 participants in the control group). None of the included studies reported any deaths, renal, hematological or liver toxicity.With regard to our secondary outcomes, post prandial blood sugar (PPBS) was lower among participants treated with Diabecon, was unchanged with Hyponidd and was higher in patients treated with Cogent DB. Treatment with Pancreas tonic and Hyponidd did not affect lipid profile significantly, while patients treated with Inolter had significantly higher HDL- and lower LDL-cholesterol as well as lower triglycerides. Cogent DB treated participants also had lower total cholesterol and triglycerides.Studies of treatment with Diabecon reported increased fasting insulin levels; one study of treatment with Diabecon reported higher stimulated insulin levels and fasting C-peptide levels in the treatment group. There was no significant difference in fasting and stimulated C-peptide and insulin levels with Hyponidd, Cogent DB and Pancreas tonic treatment. The study of Inolter did not assess these outcomes.No study reported on or was designed to investigate diabetic complications, death from any cause and economic data. AUTHORS'
conclusionsAlthough there were significant glucose-lowering effects with the use of some herbal mixtures, due to methodological deficiencies and small sample sizes we are unable to draw any definite conclusions regarding their efficacy. Though no significant adverse events were reported, there is insufficient evidence at present to recommend the use of these interventions in routine clinical practice and further studies are needed.
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Registered trials
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.