Evidence map›Paper›PMID 17761111›Full record

ArticleCurrent treatment options in cardiovascular medicine2007

Adiposopathy: treating pathogenic adipose tissue to reduce cardiovascular disease risk.

Harold Bays, Helena W Rodbard, Alan Bruce Schorr, J Michael González-Campoy

Abstract read
PubMed Publisher
In one paragraph

Article in Current treatment options in cardiovascular medicine, 2007. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
2.2field-weighted citation impact, top 13% of its field
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

11 citing papers in PubMed, 36 citations in OpenAlex.

  1. Article
  2. Review
  3. Review
  4. Article
  5. Article
  6. Review
  7. Review
  8. Article
  9. Adiposopathy and bariatric surgery: is 'sick fat' a surgical disease?International journal of clinical practice · 2009
    Review
  10. Is adiposopathy (sick fat) an endocrine disease?International journal of clinical practice · 2008
    Review
  11. Local adipose tissue renin-angiotensin system.Current hypertension reports · 2008
    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 at 1 institution in 1 country.

Harold BaysL-MARC Research Center, 3288 Illinois Avenue, Louisville, KY 40213, USA. HBaysMD@aol.com
Helena W Rodbard
Alan Bruce Schorr
J Michael González-Campoy
Louisville Metabolic and Atherosclerosis Research Center · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Excessive adipose tissue is potentially pathogenic due to its mass effects and through adverse metabolic/immune responses, which may lead to cardiovascular disease risk factors (eg, type 2 diabetes mellitus, hypertension, dyslipidemia, and possibly atherosclerosis itself). Positive caloric balance in genetically/environmentally susceptible patients may result in adipocyte hypertrophy, visceral adipose tissue accumulation, and ectopic fat deposition, all causally associated with metabolic disease, and all anatomic manifestations of "adiposopathy" (a term used to describe adipose tissue pathology). Weight loss through improved nutrition, increased physical activity, and weight loss agents (ie, orlistat and sibutramine) improves adiposopathy and improves many metabolic diseases whose prevalence are directly associated with an increase in body fat and sedentary lifestyle. Cannabinoid receptor antagonists improve adiposopathy through weight reduction and favorable metabolic effects upon multiple body organs (including adipocytes). Peroxisome proliferator-activated receptor-gamma agonists may improve adiposopathy through recruitment of functional fat cells and apoptosis of dysfunctional fat cells.

Identifiers

PMID17761111
OpenAlexW2075718586

What Socratic 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 Socratic graph.