Evidence map›Paper›PMID 23518859›Full record

ArticleJournal of the American Medical Informatics Association : JAMIA

Leveraging biodiversity knowledge for potential phyto-therapeutic applications.

Vivekanand Sharma, Indra Neil Sarkar

Abstract read
In one paragraph

Article in Journal of the American Medical Informatics Association : JAMIA. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing 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

9 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Earth BioGenome Project: Sequencing life for the future of life.Proceedings of the National Academy of Sciences of the United States of America · 2018
    Article
  5. Identifying natural health product and dietary supplement information within adverse event reporting systems.Pacific Symposium on Biocomputing. Pacific Symposium on Biocomputing · 2018
    Article
  6. Identifying Supplement Use Within Clinical Notes: An Applicationof Natural Language Processing.AMIA Joint Summits on Translational Science proceedings. AMIA Joint Summits on Translational Science · 2018
    Article
  7. Article
  8. Article
  9. 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.

Vivekanand SharmaDepartment of Microbiology and Molecular Genetics, University of Vermont, Burlington, Vermont 05405, USA.
Indra Neil Sarkar

Funding

Enhancing Organism Based Disease Knowledge Via Name Based Taxonomic IntelligenceR01LM009725 · NLM · MARINE BIOLOGICAL LABORATORY · PI SARKAR, INDRA N · 2008 to 2010
$1.1M
NLM NIH HHS R01 LM009725NLM NIH HHS R01LM009725
6 · The paper itself

Abstract

objectiveTo identify and highlight the feasibility, challenges, and advantages of providing a cross-domain pipeline that can link relevant biodiversity information for phyto-therapeutic assessment. MATERIALS AND

methodsA public repository of clinical trials information (ClinicalTrials.gov) was explored to determine the state of plant-based interventions under investigation.

resultsThe results showed that ≈ 15% of drug interventions in ClinicalTrials.gov were potentially plant related, with about 60% of them clustered within 10 taxonomic families. Further analysis of these plant-based interventions identified ≈ 3.7% of associated plant species as endangered as determined from the International Union for the Conservation of Nature Red List. DISCUSSION: The diversity of the plant kingdom has provided human civilization with life-sustaining food and medicine for centuries. There has been renewed interest in the investigation of botanicals as sources of new drugs, building on traditional knowledge about plant-based medicines. However, data about the plant-based biodiversity potential for therapeutics (eg, based on genetic or chemical information) are generally scattered across a range of sources and isolated from contemporary pharmacological resources. This study explored the potential to bridge biodiversity and biomedical knowledge sources.

conclusionsThe findings from this feasibility study suggest that there is an opportunity for developing plant-based drugs and further highlight taxonomic relationships between plants that may be rich sources for bioprospecting.

Indexed as

BiodiversityPhytotherapyPlants, MedicinalClinical Trials as TopicDatabases, FactualFeasibility StudiesHumansPlantsbiodiversity informaticsbioprospectingclinical trialsmedicinal plants

Identifiers

PMID23518859
PMCPMC3721164

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.