Sridharan Ramaratnam

Dr. Sridharan Ramaratnam


Research Focus & Metrics

Academic Career Length

17Years (2010-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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28 May 2021 in Medicina
Verified
Journal Article
Open access
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DGDinesh Gyawali
Dinesh Gyawali
RVRini Vohra
Rini Vohra
DODavid Orme-Johnson
David Orme-Johnson
SRSridharan Ramaratnam
Sridharan Ramaratnam
Robert SchneiderRobert Schneider
Robert Schneider
Background and Objectives: Cardiovascular disease (CVD) is the leading cause of death globally and hypercholesterolemia is one of the major risk factors associated with CVD. Due to a growing body of research on side effects and long-term impacts of conventional CVD treatments, focus is shifting towards exploring alternative treatment approaches such as Ayurveda. However, because of a lack of strong scientific evidence, the safety and efficacy profiles of such interventions have not been well established. The current study aims to conduct a systematic review and meta-analyses to explore the strength of evidence on efficacy and safety of Ayurvedic herbs for hypercholesterolemia. Methods: Literature searches were conducted using databases including Medline, Cochrane Database, AMED, Embase, AYUSH research portal, and many others. All randomized controlled trials on individuals with hypercholesterolemia using Ayurvedic herbs (alone or in combination) with an exposure period of ≥ 3 weeks were included, with primary outcomes being total cholesterol levels, adverse events, and other cardiovascular events. The search strategy was determined with the help of the Cochrane Metabolic and Endocrine Disorders Group. Two researchers assessed the risk of each study individually and discrepancies were resolved by consensus or consultation with a third researcher. Meta-analysis was conducted using the inverse variance method and results are presented as forest plots and data summary tables using Revman v5.3. Results: A systematic review of 32 studies with 1386 participants found randomized controlled trials of three Ayurvedic herbs, Allium sativum (garlic), Commiphora mukul (guggulu), and Nigella sativa (black cumin) on hypercholesterolemia that met inclusion criteria. The average duration of intervention was 12 weeks. Meta-analysis of the trials showed that guggulu reduced total cholesterol and low-density lipoprotein levels by 16.78 mg/dL (95% C.I. 13.96 to 2.61; p-value = 0.02) and 18.78 mg/dL (95% C.I. 34.07 to 3.48; p = 0.02), respectively. Garlic reduced LDL-C by 10.37 mg/dL (95% C.I. −17.58 to −3.16; p-value = 0.005). Black cumin lowered total cholesterol by 9.28 mg/dL (95% C.I. −17.36, to −1.19, p-value = 0.02). Reported adverse side effects were minimal. Conclusion: There is moderate to high level of evidence from randomized controlled trials that the Ayurvedic herbs guggulu, garlic, and black cumin are moderately effective for reducing hypercholesterolemia. In addition, minimal evidence was found for any side effects associated with these herbs, positioning them as safe adjuvants to conventional treatments.

22 June 2016 in Cochrane Database of Systematic Reviews
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Journal Article
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SRSridharan Ramaratnam
Sridharan Ramaratnam
MPMariangela Panebianco
Mariangela Panebianco
AMAnthony G Marson
Anthony G Marson

25 February 2016 in Cochrane Database of Systematic Reviews
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Journal Article
Open access
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SRSridharan Ramaratnam
Sridharan Ramaratnam
GBGus A Baker
Gus A Baker
LGLaura H Goldstein
Laura H Goldstein
This review has been superseded by the protocol 'Psychological treatments for people with epilepsy' (Michaelis 2016). The full review is expected to be published by 1st July 2016.

1 January 2010 in Annals of Indian Academy of Neurology
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Journal Article
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SRSridharan Ramaratnam
Sridharan Ramaratnam
PSP Satishchandra
P Satishchandra
This article is part of the Guidelines for Epilepsy management in India. This article reviews the classification systems used for epileptic seizures and epilepsy and present the recommendations based on current evidence. At present, epilepsy is classified according to seizure type and epilepsy syndrome using the universally accepted International League Against Epilepsy (ILAE) classification of epileptic seizures and epilepsy syndromes. A multi-axial classification system incorporating ictal phenomenology, seizure type, epilepsy syndrome, etiology and impairments is being developed by the ILAE task force. The need to consider age-related epilepsy syndromes is particularly important in children with epilepsy. The correct classification of seizure type and epilepsy syndrome helps the individual with epilepsy to receive appropriate investigations, treatment, and information about the likely prognosis.