SynthesisWiener klinische Wochenschrift2013
Ginkgo biloba extract EGb 761 in the treatment of dementia: a pharmacoeconomic analysis of the Austrian setting.
Synthesis in Wiener klinische Wochenschrift, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.
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.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
7 citing papers in PubMed, 20 citations in OpenAlex.
- Antioxidants and Bioactive Compounds in Food: Critical Review of Issues and Prospects.Antioxidants (Basel, Switzerland) · 2022Review
- Effects of Catalpol on Alzheimer's Disease and Its Mechanisms.Evidence-based complementary and alternative medicine : eCAM · 2022Review
- Healthy Effects of Plant Polyphenols: Molecular Mechanisms.International journal of molecular sciences · 2020Review
- Design, synthesis, and preliminary biological evaluation of catalpol propionates as antiaging drugs.BMC chemistry · 2019Article
- The Potential Use of Plant Natural Products and Plant Extracts with Antioxidant Properties for the Prevention/Treatment of Neurodegenerative Diseases: In Vitro, In Vivo and Clinical Trials.Molecules (Basel, Switzerland) · 2018Review
- Identification of novel autophagic Radix Polygalae fraction by cell membrane chromatography and UHPLC-(Q)TOF-MS for degradation of neurodegenerative disease proteins.Scientific reports · 2015Article
- Roles of chemical complexity and evolutionary theory in some hepatic and intestinal enzymatic systems in chemical reproducibility and clinical efficiency of herbal derivatives.TheScientificWorldJournal · 2014Review
Corrections and comments
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Authors and funding
3 authors at 2 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
objectiveWe used efficacy data from three clinical trials to investigate the pharmacoeconomic implications of treating noninstitutionalized Austrian dementia patients with a drug based on EGb 761R, a standardized extract from Gingkgo biloba. In a separate analysis, we compared the pharmacoeconomic aspects of achieving treatment success with EGb 761R and cholinesterase inhibitors.
methodsA fixed-effect model was used to conduct a metaanalysis of activities of daily living data from 1,201 patients diagnosed with dementia and treated with either EGb 761R (240 mg/day) or matched placebo for 22 or 24 weeks under double-blind conditions. From this analysis, the delay in activities of daily living (ADL)-based disease progression was estimated. Current Austrian drug reimbursement prices, physician fees, and federal subsidies for seven stages of home care were applied to calculate overall costs in four scenarios. For the comparison with cholinesterase inhibitors, metaanalysis data pertaining to overall clinical impression as published by the Cochrane Group were compared to corresponding data from our EGb 761R studies. RESULTS AND DISCUSSION: The benefit of treatment with EGb 761R (240 mg/day) corresponds to a delay in ADL deterioration by 22.3 months compared to placebo. Overall net savings with EGb 761R treatment ranged from EUR 3,692 to EUR 29,577, mainly driven by delays in progression towards higher home care subsidies. For one additional therapy success with EGb 761R, EUR 530.88 was required. In a tentative cost comparison, cholinesterase inhibitors required higher expenses to achieve treatment success.
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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.