Evidence map›Paper›PMID 22408293›Full record

ArticleAyu2011

Prakriti-based medicine: A step towards personalized medicine.

Bijoya Chatterjee, Jigisha Pancholi

Abstract read
In one paragraph

Article in Ayu, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.

0numbers the graph read from it
0cells of the map it votes in
19citing 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

19 citing papers in PubMed.

  1. Review
  2. Review
  3. Review
  4. Ayurgenomics and Modern Medicine.Medicina (Kaunas, Lithuania) · 2020
    Review
  5. Article
  6. Epigenetic Mechanisms of Integrative Medicine.Evidence-based complementary and alternative medicine : eCAM · 2017
    Review
  7. Review
  8. Article
  9. Article
  10. Review
  11. Article
  12. Article
  13. Review
  14. Review
  15. Article
  16. Article
  17. Article
  18. Review
  19. 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

2 authors.

Bijoya ChatterjeeFaculty, Department of Biochemistry, Institute of Ayurvedic Pharmaceutical Sciences, Gujarat Ayurved University, Jamnagar, India.
Jigisha Pancholi

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The concept of personalized medicine has been around for as long as people have been practicing medicine. From Charaka to Hippocrates, all have practiced the personalized approach for treating a disease. In the 21(st) century, personalized medicine is all about DNA. Whereas the single nucleotide polymorphism (SNP) and epigenetic factors influence drug response and form the basis of personalized medicine, the tridosha theory forms the basis of Prakriti-based medicine. It is well established by now that western allopathic medicine is excellent in handling acute medical crises, whereas Ayurveda has successfully demonstrated an ability to manage chronic disorders that Western medicine has been unable to cure. With effective integration of 'omics' Prakriti-based medicine can play a vital role in this changing scenario of global health wisdom as Ayurveda offers its modalities by way of ahara (diet), vihara (lifestyle), and aushadhi (medication), which are the three pillars of prakriti-based medicine making it a holistic science. Prakriti-based medicine and other traditional medicine systems have the potential to offer remedies to the challenging health issues like adverse drug reactions, drug withdrawals, and economic disparities among few. An integrative global approach could do wonders to health sciences benefiting a broad spectrum of patients.

Indexed as

Ayurgenomicsepigeneticspersonalized medicinepharmacogeneticspharmacogenomicssingle nucleotide polymorphism

Identifiers

PMID22408293
PMCPMC3296331

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-SA
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.