ArticleDiabetologia2009
Continuous relationships between non-diabetic hyperglycaemia and both cardiovascular disease and all-cause mortality: the Australian Diabetes, Obesity, and Lifestyle (AusDiab) study.
Article in Diabetologia, 2009. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 67 papers, 1 of them a synthesis that pooled it.
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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
67 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Pooled it
- A randomized clinical trial comparing low-fat with precision nutrition-based diets for weight loss: impact on glycemic variability and HbA1c.The American journal of clinical nutrition · 2023Trial
- Rationale and design of a multicenter randomized controlled study to evaluate the preventive effect of ipragliflozin on carotid atherosclerosis: the PROTECT study.Cardiovascular diabetology · 2016Trial
- Effects of add-on nebivolol on blood pressure and glucose parameters in hypertensive patients with prediabetes.Journal of clinical hypertension (Greenwich, Conn.) · 2013Trial
- Fasting plasma glucose in non-diabetic participants and the risk for incident cardiovascular events, diabetes, and mortality: results from WOSCOPS 15-year follow-up.European heart journal · 2010Trial
- Differential Effects of Social Determinants of Health Factors on Mortality in US Adults with Prediabetes: National Health and Nutrition Examination Survey 2005-2018.Journal of general internal medicine · 2026Article
- Comparisons of Post-Load Glucose at Different Time Points for Identifying High Risks of MASLD Progression.Nutrients · 2024Article
- Associations of fasting plasma glucose with all-cause mortality and cardiovascular events in older Chinese diabetes patients: A population-based cohort study.Journal of diabetes investigation · 2024Article
- Association between glucose levels and all-cause mortality in cancer survivors: findings from NHANES 1999-2018.BMC public health · 2024Article
- The associations of risk of cardiovascular disease with development stages of diabetes in Chinese population: findings from a retrospective cohort study in QuZhou city.BMC endocrine disorders · 2024Article
- Non-linear relationship between TyG index and the risk of prediabetes in young people: a 5-year retrospective cohort study in Chinese young adults.Frontiers in endocrinology · 2024Article
- Association of cardiovascular health score trajectory and risk of subsequent cardiovascular disease in non-diabetic population: a cohort study.BMC public health · 2023Article
- Diabetes incidence in subjects with PREDIABetes from ReUNion Island: the PREDIABRUN observational cohort study protocol.BMJ open · 2022Article
- Association between haemoglobin A1c and all-cause and cause-specific mortality in middle-aged and older Koreans: a prospective cohort study.Nutrition & metabolism · 2022Article
- Cardiovascular events and atherosclerosis in patients with type 2 diabetes and impaired glucose tolerance: What are the medical treatments to prevent cardiovascular events in such patients?Journal of diabetes investigation · 2022Review
- Prediabetes and What It Means: The Epidemiological Evidence.Annual review of public health · 2021Review
- Association of Concurrent Changes in Metabolic Health and Weight on Cardiovascular Disease Risk: A Nationally Representative Cohort Study.Journal of the American Heart Association · 2019Article
- Fasting glucose and its association with 20-year all-cause and cause-specific mortality in Chinese general population.Chronic diseases and translational medicine · 2019Article
- Risk of Cardiovascular Disease and Death in Individuals With Prediabetes Defined by Different Criteria: The Whitehall II Study.Diabetes care · 2018Article
- Effect of post-cessation hyperglycemia on cardiovascular disease and mortality among middle-aged men: an eight-year longitudinal study.Scientific reports · 2017Article
7 more citing papers are in PubMed but not listed here.
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.
Funding
No grant is acknowledged in the PubMed record.
Abstract
aims/hypothesisHyperglycaemia is a risk factor for cardiovascular disease (CVD) and all-cause mortality in individuals without diabetes. We investigated: (1) whether the risk of all-cause and CVD mortality extended continuously throughout the range of fasting plasma glucose (FPG), 2 h plasma glucose (2hPG) and HbA(1c) values; and (2) the ability of these measures to improve risk prediction for mortality.
methodsData on 10,026 people aged >or=25 years without diagnosed diabetes were obtained from the population-based Australian Diabetes, Obesity and Lifestyle study. Between 1999 and 2000, FPG, 2hPG and HbA(1c) were assessed and all-cause (332 deaths) and CVD (88 deaths) mortality were obtained after 7 years.
resultsBoth 2hPG and HbA(1c) exhibited linear relationships with all-cause and CVD mortality, whereas FPG showed J-shaped relationships. The adjusted HR (95% CI) for all-cause mortality per SD increase was 1.2 (1.1-1.3) for 2hPG and 1.1 (1.0-1.2) for HbA(1c). The HR for FPG <5.1 mmol/l (per SD decrease) was 2.0 (1.3-3.0); for FPG >or=5.1 mmol/l (per SD increase) the HR was 1.1 (1.0-1.2). Corresponding HRs for CVD mortality were 1.2 (1.0-1.4), 1.2 (1.0-1.3), 4.0 (2.1-7.6) and 1.3 (1.1-1.4). The discriminative ability of each measure was similar; no measure substantially improved individual risk identification over traditional risk factors. CONCLUSIONS/
interpretationIn individuals without diagnosed diabetes, 2hPG and FPG, but not HbA(1c) were significant predictors of all-cause mortality, whereas all measures were significant predictors of CVD mortality. However, these glucose measures did not substantially improve individual risk identification.
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