Evidence map›Paper›PMID 33218848›Full record

ReviewJournal of Ayurveda and integrative medicine

Vata dynamics with special reference to cardiac disorders - A cross-disciplinary approach.

Savitri Vasudev Baikampady

Abstract readReview
In one paragraph

Review in Journal of Ayurveda and integrative medicine. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. Article
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

1 author.

Savitri Vasudev BaikampadySri Sathya Sai Institute of Higher Medical Sciences (SSSIHMS), Epip Area, Whitefield, Bangalore, India. Electronic address: ayurvedsavitur@yahoo.co.in.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Vata is one of the fundamental patho-physiological entities with unique and dynamic properties. All actions inside the body, whether voluntary or involuntary, are governed by Vayu. Actions involved during natural physiological calls or urges, are involuntary, but partially under voluntary control. Classical texts from Ayurveda state that such natural urges (NU) should be strictly attended without disturbing their natural flow. Some urges can be intentionally or inadvertently initiated (Udiran) or suppressed (Dhaaran), redirecting the normal flow of Vayu, leaving scopes for severe morbidities in the heart causing cardiovascular disorders (CVD). Since Vata has unique attribute of Vega (locomotion) that moves in a specific direction, its intensities can be quantified with the help of modern techniques. Few studies have objectively evaluated the intensities of NU like belching, sneezing, expulsion of flatus, etc. during normalcy, which may help us to determine their altered activity during morbidity. In spite of such studies, their relevance to CVD is inadequately explored. Hence, this article addresses details of such NU that lead to CVD alone, from classical texts of Ayurveda, conventional medicines and technology that quantify their intensities. Citing research articles from various journals using keywords were done to understand their mechanism along with their intensities. It was found that objective estimation of few NU was performed extensively whereas some had limitations. Theories from the classical texts confirm that physiological NU, if allowed to flow freely without any impedance, assures good health. It would certainly benefit the mankind if their pathologic state is timely detected so as to prevent disease progression in CVD.

Indexed as

BelchingCardiovascular disordersCoughDhaaranExpulsion of flatusFeacesHeavy breathingNatural urgesPreventionSneezingUdeeran

Identifiers

PMID33218848
PMCPMC7772479

What OpenQuestion holds

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Registered trials

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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.