ReviewJournal of cardiovascular translational research2010
Risk factors preceding type 2 diabetes and cardiomyopathy.
Review in Journal of cardiovascular translational research, 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.
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.
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.
Who cites it
11 citing papers in PubMed, 38 citations in OpenAlex.
- Indirect Effects of a Cognitive-Behavioral Intervention on Adolescent Weight and Insulin Resistance Through Decreasing Depression in a Randomized Controlled Trial.Journal of pediatric psychology · 2019Trial
- Prevalence of diabetic cardiomyopathy in low- and middle-income countries: a systematic review protocol.Systematic reviews · 2026Article
- Increased oxidative stress contributes to enhance brain amyloidogenesis and blunts energy metabolism in sucrose-fed rat: effect of AMPK activation.Scientific reports · 2021Article
- Association between Hypertriglyceridemic-Waist Phenotype and Risk of Type 2 Diabetes Mellitus in Middle-Aged and Older Chinese Population: A Longitudinal Cohort Study.International journal of environmental research and public health · 2021Article
- Impact of in vitro heavy metal exposure on pancreatic β-cell function.Toxicology letters · 2018Article
- Potential role of cyanidin 3-glucoside (C3G) in diabetic cardiomyopathy in diabetic rats: An in vivo approach.Saudi journal of biological sciences · 2018Article
- Potential epigenetic biomarkers of obesity-related insulin resistance in human whole-blood.Epigenetics · 2017Article
- Impact of weight loss on oxidative stress and inflammatory cytokines in obese type 2 diabetic patients.African health sciences · 2016Article
- Egg consumption and cardiovascular disease among diabetic individuals: a systematic review of the literature.Diabetes, metabolic syndrome and obesity : targets and therapy · 2014Review
- Effects of cardiorespiratory fitness on aging: glucose trajectory in a cohort of healthy men.Annals of epidemiology · 2012Article
- Effectiveness of cardiac resynchronization therapy in diabetic patients with ischemic and nonischemic cardiomyopathy.Annals of noninvasive electrocardiology : the official journal of the International Society for Holter and Noninvasive Electrocardiology, Inc · 2012Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
6 authors at 5 institutions in 4 countries.
Funding
Abstract
Type 2 diabetes (T2DM) and its complications such as cardiomyopathy, contribute significantly to morbidity and mortality worldwide. Increased adoption of westernized diets and decreased physical activity are contributing to the obesity epidemic which, in turn, increases the risk for T2DM. Other risk factors for T2DM include insulin resistance, dyslipidemia, hypertension, metabolic syndrome, and a genetic predisposition. Risk measures for assessing these factors include family history, blood pressure, body weight, waist circumference, fasting glucose, insulin, and lipid levels, and calculated indices such as BMI, HOMA, and QUIKI. Most of these risk measures routinely done in annual check-ups, should help a primary care physician in making an early diagnosis of impending diabetic condition. The underlying mechanisms of these clinical, anthropometric and biochemical risk measures may also be involved in the etiology of diabetes and its complications. Their levels and changes over time therefore, may indeed reflect the disease process. Early and continued assessment of diabetes risk, as part of patient care, will help identify individuals most likely to develop diabetes and allow for early interventions to reduce risk factors as well as delay or may even prevent disease onset. In T2DM patients, ongoing measurement of risk markers and implementation of intervention where appropriate will improve the diabetic condition, decrease risk of cardiovascular and other complications, and decrease morbidity.
Indexed as
Identifiers
What Socratic holds
Registered trials
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.