Evidence map›Paper›PMID 25421245›Full record

ReviewInternational journal of molecular sciences2014

Therapeutic phytogenic compounds for obesity and diabetes.

Hee Soong Jung, Yun Lim, Eun-Kyoung Kim

Abstract readReview
In one paragraph

Review in International journal of molecular sciences, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.

0numbers the graph read from it
0cells of the map it votes in
17citing 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

17 citing papers in PubMed.

  1. Article
  2. Review
  3. Review
  4. Review
  5. Article
  6. Review
  7. Anti-Obesity Effects ofNutrients · 2020
    Article
  8. Marine drugs · 2020
    Article
  9. Heliyon · 2020
    Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. The Effect ofEvidence-based complementary and alternative medicine : eCAM · 2018
    Article
  15. Chia seed (Nutrition research and practice · 2017
    Article
  16. Article
  17. 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

3 authors.

Hee Soong JungDepartment of Brain Science, Daegu Gyeongbuk Institute of Science & Technology, 333, Techno Jungang-daero, Hyeonpung-myeon, Dalseong-gun, Daegu 711-873, Korea. harryjung@dgist.ac.kr.
Yun LimDepartment of Brain Science, Daegu Gyeongbuk Institute of Science & Technology, 333, Techno Jungang-daero, Hyeonpung-myeon, Dalseong-gun, Daegu 711-873, Korea. limyun@dgist.ac.kr.
Eun-Kyoung KimDepartment of Brain Science, Daegu Gyeongbuk Institute of Science & Technology, 333, Techno Jungang-daero, Hyeonpung-myeon, Dalseong-gun, Daegu 711-873, Korea. ekkim@dgist.ac.kr.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Natural compounds have been used to develop drugs for many decades. Vast diversities and minimum side effects make natural compounds a good source for drug development. However, the composition and concentrations of natural compounds can vary. Despite this inconsistency, half of the Food and Drug Administration (FDA)-approved pharmaceuticals are natural compounds or their derivatives. Therefore, it is essential to continuously investigate natural compounds as sources of new pharmaceuticals. This review provides comprehensive information and analysis on natural compounds from plants (phytogenic compounds) that may serve as anti-obesity and/or anti-diabetes therapeutics. Our growing understanding and further exploration of the mechanisms of action of the phytogenic compounds may afford opportunities for development of therapeutic interventions in metabolic diseases.

Indexed as

AnimalsBiological ProductsDiabetes MellitusHumansObesityPhytotherapyPlants, MedicinalBiological Products

Identifiers

PMID25421245
PMCPMC4264239

What OpenQuestion holds

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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.