Evidence map›Paper›PMID 30687134›Full record

ReviewFrontiers in physiology2018

Food Ingredients Involved in White-to-Brown Adipose Tissue Conversion and in Calorie Burning.

Hamza El Hadi, Angelo Di Vincenzo, Roberto Vettor, Marco Rossato

Abstract readReview
In one paragraph

Review in Frontiers in physiology, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 40 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
40citing papers in PubMed, 1 pooled it
–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

40 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Trial
  3. Review
  4. Article
  5. Caraway Extract IncreasesInternational journal of molecular sciences · 2025
    Article
  6. Article
  7. Article
  8. Review
  9. Article
  10. Article
  11. Navigating Lipodystrophy: Insights from Laminopathies and Beyond.International journal of molecular sciences · 2024
    Review
  12. Review
  13. Article
  14. Is choline kinase alpha a drug target for obesity?Frontiers in endocrinology · 2024
    Article
  15. Article
  16. Article
  17. Review
  18. Marine drugs · 2023
    Article
  19. Review
  20. 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.

Hamza El HadiInternal Medicine 3, Department of Medicine, University of Padua, Padua, Italy.
Angelo Di VincenzoInternal Medicine 3, Department of Medicine, University of Padua, Padua, Italy.
Roberto VettorInternal Medicine 3, Department of Medicine, University of Padua, Padua, Italy.
Marco RossatoInternal Medicine 3, Department of Medicine, University of Padua, Padua, Italy.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Obesity is the consequence of chronic positive energy balance and considered a leading risk factor for cardiovascular and metabolic diseases. Due to its epidemic trends among children and adults, there is an increasing interest in implementing new therapeutic interventions to tackle overweight and obesity. Activation of brown adipose tissue (BAT) represents today a promising strategy to enhance energy expenditure (EE) through heat production. More recently, "browning" of white adipose tissue (WAT) has gained increasing attention in research area as an alternative method in stimulating energy dissipation. This minireview aims to summarize the current knowledge of some dietary compounds that have been shown to promote BAT activation and WAT browning with subsequent beneficial health effects.

Indexed as

brown adipose tissuecapsaicincurcumingreen teamentholOmega-3 polyunsaturated fatty acidsresveratrol

Identifiers

PMID30687134
PMCPMC6336830

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.