Evidence map›Paper›PMID 26721554›Full record

ReviewJournal of evidence-based complementary & alternative medicine2017

Ayurpharmacoepidemiology en Route to Safeguarding Safety and Efficacy of Ayurvedic Drugs in Global Outlook.

Parikshit Debnath, Subhadip Banerjee, Anjan Adhikari, Pratip K Debnath

Abstract readReview
In one paragraph

Review in Journal of evidence-based complementary & alternative medicine, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from 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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

6 citing papers in PubMed.

  1. Article
  2. Review
  3. Anthelmintic evaluation of three ayurvedic formulations: a transmission electron microscopy study inJournal of parasitic diseases : official organ of the Indian Society for Parasitology · 2023
    Article
  4. Article
  5. Review
  6. Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors.

Parikshit Debnath1 Gananath Sen Institute of Ayurvidya and Research, Kolkata, India.
Subhadip Banerjee1 Gananath Sen Institute of Ayurvidya and Research, Kolkata, India.
Anjan Adhikari2 R. G. Kar Medical College and Hospital, Kolkata, India.
Pratip K Debnath1 Gananath Sen Institute of Ayurvidya and Research, Kolkata, India.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Ayurpharmacoepidemiology is a new field developed by synergy of the fields of clinical pharmacology, epidemiology, and ayurveda. It will use the effects of ayurvedic medicinal products on large populations to describe and analyze the practices, evaluate the safety and efficacy, and carry out medicoeconomic evaluations. Good pharmacoepidemiology practices in ayurveda is projected to assist with issues of ayurpharmacoepidemiologic research. The embraced good pharmacoepidemiology practices guideline in this viewpoint will be able to provide valuable evidence about the health effects of ayurvedic herbs/drugs and consider different fields like pharmacovigilance, pharmacoeconomics, and drug discovery with ayurvedic reverse pharmacology approach, also pass out significant data for further basic sciences study in ayurveda biology, ayurgenomics, ayurnutrigenomics, and systems biology. Several unanswered questions about ayurvedic drug use and informed interventions or policies that can be addressed by informatics database, which will eventually demonstrate the credibility and rationality of ayurceuticals in the future.

Indexed as

Medicine, AyurvedicPatient SafetyPharmacoepidemiologyPharmacovigilanceForecastingHumansayurpharmacoepidemiologyayurvedic herbs/drugsgood pharmacoepidemiology practices in ayurvedapharmacovigilance

Identifiers

PMID26721554
PMCPMC5871175

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

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.