Evidence map›Paper›PMID 25276618›Full record

ReviewCardiovascular diagnosis and therapy2014

Molecular mechanisms of vascular dysfunction and cardiovascular biomarkers in type 2 diabetes.

Francesco Paneni, Sarah Costantino, Francesco Cosentino

Abstract readReview
In one paragraph

Review in Cardiovascular diagnosis and therapy, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.

0numbers the graph read from it
0cells of the map it votes in
18citing 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

18 citing papers in PubMed.

  1. Review
  2. Review
  3. Significance of Singlet Oxygen Molecule in Pathologies.International journal of molecular sciences · 2023
    Review
  4. Review
  5. Endothelial Dysfunction and Platelet Hyperactivation in Diabetic Complications Induced by Glycemic Variability.Hormone and metabolic research = Hormon- und Stoffwechselforschung = Hormones et metabolisme · 2022
    Review
  6. Article
  7. Article
  8. Article
  9. Review
  10. Article
  11. Article
  12. Article
  13. Review
  14. Article
  15. Hyperglycemia: a bad signature on the vascular system.Cardiovascular diagnosis and therapy · 2015
    Article
  16. Review
  17. Review
  18. 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

3 authors.

Francesco PaneniCardiology Unit, Department of Medicine, Karolinska University Hospital, Stockholm, Sweden.
Sarah CostantinoCardiology Unit, Department of Medicine, Karolinska University Hospital, Stockholm, Sweden.
Francesco CosentinoCardiology Unit, Department of Medicine, Karolinska University Hospital, Stockholm, Sweden.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Prevalence of obesity and type 2 diabetes (T2DM) is alarmingly increasing worldwide. Albeit advances in therapy have reduced morbidity and mortality in T2DM, cardiovascular risk is far to be eradicated and mechanism-based therapeutic approaches are in high demand. In this perspective, deciphering novel molecular networks of vascular disease will be instrumental to develop novel diagnostic and therapeutic strategies in people affected by diabetes. There is therefore a need to address current knowledge gaps in disease aetiology in order to support innovation in diagnosis and treatment. Unfortunately, we are still lacking cost-effective markers able to identify atherosclerotic vascular disease at an early stage. The issue of risk stratification deserves attention because not every T2DM patient carries the same degree of inflammation and oxidative stress. The diversity of metabolic phenotypes with different outcomes underscores the need for cardiovascular risk stratification within such heterogeneous population. Early predictors of vascular damage are mandatory to implement intensive treatment strategies and, hence, reduce cardiovascular disease burden in this setting. In this review we critically discuss novel molecular mechanisms of diabetic vascular disease and their possible translation to the clinical setting.

Indexed as

biomarkersepigeneticsinflammationpathwaysType 2 diabetes (T2DM)vascular risk

Identifiers

PMID25276618
PMCPMC4147093

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.