Evidence map›Paper›PMID 19337540›Full record

ReviewVascular health and risk management2008

Beta-glucans in the treatment of diabetes and associated cardiovascular risks.

Jiezhong Chen, Kenneth Raymond

Open access · goldAbstract readReview
In one paragraph

Review in Vascular health and risk management, 2008. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 44 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
44citing papers in PubMed, 1 pooled it
1.4field-weighted citation impact, top 19% 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

44 citing papers in PubMed, 1 synthesis or guideline pooled it, 180 citations in OpenAlex.

  1. Pooled it
  2. Trial
  3. Trial
  4. Article
  5. Review
  6. Review
  7. Review
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Frontiers in nutrition · 2023
    Review
  14. Article
  15. Ameliorative and Antioxidative Potential ofAntioxidants (Basel, Switzerland) · 2022
    Article
  16. Article
  17. Review
  18. Article
  19. Biological Effects of β-Glucans on Osteoclastogenesis.Molecules (Basel, Switzerland) · 2021
    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

2 authors at 1 institution in 1 country.

Jiezhong ChenJohn Curtin School of Medical Research, Australian National University, Acton, ACT, Australia. jiezhong.chen@anu.edu.au
Kenneth Raymond
University of Canberra · AU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Diabetes mellitus is characterized by high blood glucose level with typical manifestations of thirst, polyuria, polydipsia, and weight loss. It is caused by defects in insulin-mediated signal pathways, resulting in decreased glucose transportation from blood into muscle and fat cells. The major risk is vascular injury leading to heart disease, which is accelerated by increased lipid levels and hypertension. Management of diabetes includes: control of blood glucose level and lipids; and reduction of hypertension. Dietary intake of beta-glucans has been shown to reduce all these risk factors to benefit the treatment of diabetes and associated complications. In addition, beta-glucans also promote wound healing and alleviate ischemic heart injury. However, the mechanisms behind the effect of beta-glucans on diabetes and associated complications need to be further studied using pure beta-glucan.

Indexed as

beta-GlucansBlood GlucoseCardiovascular DiseasesCholesterolDiabetes ComplicationsDiabetes MellitusHumansHypertensionHypoglycemic AgentsRisk FactorsTreatment OutcomeWound Healingbeta-GlucansBlood GlucoseCholesterolHypoglycemic Agentsdiabetes mellitushyperglycemiapathogenesisprevalence

Identifiers

PMID19337540
PMCPMC2663451
OpenAlexW1953503602

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.