Importance of high-quality evidence regarding the use of Bacopa monnieri in dementia.

Alzheimer’s disease Bacopa monnieri Brahmi dementia evidence based medicine high-quality evidence mild cognitive impairment

Journal

Frontiers in aging neuroscience
ISSN: 1663-4365
Titre abrégé: Front Aging Neurosci
Pays: Switzerland
ID NLM: 101525824

Informations de publication

Date de publication:
2023
Historique:
received: 30 12 2022
accepted: 13 02 2023
entrez: 20 3 2023
pubmed: 21 3 2023
medline: 21 3 2023
Statut: epublish

Résumé

Bacopa monnieri (BM), a commonly used herb, has shown neuroprotective effects in animal and In the present study, we did a narrative review of the current challenges in designing clinical trials of BM in dementia and their evidence-based recommendations. Many facets of the BM trials need improvement, especially effect size and sample size estimation. Current assessment and outcomes measures need a more holistic approach and newer scales for diagnosing and monitoring prodromal AD. The stringent guidelines in CONSORT and STROBE are often considered difficult to implement for clinical trials in ayurvedic medications like BM. However, adherence to these guidelines will undoubtedly improve the quality of evidence and go a long way in assessing whether BM is efficacious in treating AD/prodromal AD patients and other neurodegenerative dementias. Future studies on BM should implement more randomized controlled trials (RCTs) with an appropriate sample size of accurately diagnosed AD/prodromal AD patients, administering a recommended dosage of BM and for a pre-specified time calculated to achieve adequate power for the study. Researchers should also develop and validate more sensitive cognitive scales, especially for prodromal AD. BM should be evaluated in accordance with the same rigorous standards as conventional drugs to generate the best quality evidence.

Sections du résumé

Background UNASSIGNED
Bacopa monnieri (BM), a commonly used herb, has shown neuroprotective effects in animal and
Methods UNASSIGNED
In the present study, we did a narrative review of the current challenges in designing clinical trials of BM in dementia and their evidence-based recommendations.
Results UNASSIGNED
Many facets of the BM trials need improvement, especially effect size and sample size estimation. Current assessment and outcomes measures need a more holistic approach and newer scales for diagnosing and monitoring prodromal AD. The stringent guidelines in CONSORT and STROBE are often considered difficult to implement for clinical trials in ayurvedic medications like BM. However, adherence to these guidelines will undoubtedly improve the quality of evidence and go a long way in assessing whether BM is efficacious in treating AD/prodromal AD patients and other neurodegenerative dementias.
Conclusion UNASSIGNED
Future studies on BM should implement more randomized controlled trials (RCTs) with an appropriate sample size of accurately diagnosed AD/prodromal AD patients, administering a recommended dosage of BM and for a pre-specified time calculated to achieve adequate power for the study. Researchers should also develop and validate more sensitive cognitive scales, especially for prodromal AD. BM should be evaluated in accordance with the same rigorous standards as conventional drugs to generate the best quality evidence.

Identifiants

pubmed: 36936504
doi: 10.3389/fnagi.2023.1134775
pmc: PMC10014812
doi:

Types de publication

Journal Article Review

Langues

eng

Pagination

1134775

Informations de copyright

Copyright © 2023 Agarwal, Mishra, Gupta, Srivastava, Basheer, Sharma and Vishnu.

Déclaration de conflit d'intérêts

The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.

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Auteurs

Ayush Agarwal (A)

Department of Neurology, All India Institute of Medical Sciences, New Delhi, India.

Biswamohan Mishra (B)

Department of Neurology, All India Institute of Medical Sciences, New Delhi, India.

Anu Gupta (A)

Department of Neurology, All India Institute of Medical Sciences, New Delhi, India.

M Vasantha Padma Srivastava (MVP)

Department of Neurology, All India Institute of Medical Sciences, New Delhi, India.

Aneesh Basheer (A)

DM Wayanad Institute of Medical Sciences (DM WIMS), Wayanad, India.

Jyoti Sharma (J)

Department of Neurology, All India Institute of Medical Sciences, New Delhi, India.

Venugopalan Y Vishnu (VY)

Department of Neurology, All India Institute of Medical Sciences, New Delhi, India.

Classifications MeSH