Evidence map›Paper›PMID 19647446›Full record

ReviewTrends in endocrinology and metabolism: TEM2009

eNOS, metabolic syndrome and cardiovascular disease.

Paul L Huang

Abstract readReview
In one paragraph

Review in Trends in endocrinology and metabolism: TEM, 2009. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 167 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
167citing papers in PubMed, 1 pooled it
14.2field-weighted citation impact, top 1% 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

167 citing papers in PubMed, 1 synthesis or guideline pooled it, 342 citations in OpenAlex.

  1. Pooled it
  2. Trial
  3. Trial
  4. Trial
  5. Article
  6. Article
  7. Article
  8. Review
  9. Article
  10. Article
  11. Review
  12. Review
  13. Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. Article
  19. EndothelialCurrent diabetes reviews · 2025
    Review
  20. Review

107 more citing papers are in PubMed but not listed here.

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

1 author at 1 institution in 1 country.

Paul L HuangCardiovascular Research Center and Cardiology Division, Massachusetts General Hospital and Harvard Medical School, Boston, MA 02114, USA. phuang1@partners.org
Massachusetts General Hospital · US

Funding

REGULATION OF CEREBRAL BLOOD FLOWR01NS033335 · NINDS · MASSACHUSETTS GENERAL HOSPITAL · PI HUANG, PAUL L. · 1994 to 2012
$4.2M
NINDS NIH HHS R01 NS033335
6 · The paper itself

Abstract

Large epidemiologic studies have established that diabetes, hyperlipidemia and obesity all increase the risk for cardiovascular disease. However, the precise mechanisms by which these metabolic disorders increase the propensity to develop atherosclerosis are not known. Recently, the concept of the metabolic syndrome - a constellation of conditions including obesity, hypertension, hyperlipidemia and insulin resistance - has received much attention. Studies on the metabolic syndrome might enable a better understanding of the underlying biological mechanisms that lead to cardiovascular disease. This review focuses on endothelial nitric oxide synthase and summarizes evidence that a reduction in the bioavailability of endothelium-derived nitric oxide serves as a key link between metabolic disorders and cardiovascular risk.

Indexed as

AdipokinesAnimalsAtherosclerosisDrug DesignEndothelium, VascularFatty Acids, NonesterifiedHumansInsulinInsulin ResistanceIntra-Abdominal FatMetabolic SyndromeMitochondriaNitric OxideNitric Oxide Synthase Type IIIOxidative StressPhosphorylationAdipokinesFatty Acids, NonesterifiedInsulinNitric OxideNitric Oxide Synthase Type III

Identifiers

PMID19647446
PMCPMC2731551
OpenAlexW1987254109

What OpenQuestion holds

Textmetadata
LicenceTDM
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.