ArticlePloS one2022
Glycemic variability and all-cause mortality in a large prospective southern European cohort of patients with differences in glycemic status.
Article in PloS one, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.
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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.
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Who cites it
5 citing papers in PubMed, 10 citations in OpenAlex.
- Linking glucose swings and mental health to cardiovascular outcomes and mortality in general practice.Scientific reports · 2025Article
- Prediabetes.Nature reviews. Disease primers · 2025Review
- The dialysis foot- the impact of presenting estimated glomerular filtration rate on clinical outcomes in patients hospitalized with diabetic foot infections.International wound journal · 2025Article
- Effect of glucose variability on the mortality of adults aged 75 years and over during the first year of the COVID-19 pandemic.BMC geriatrics · 2024Article
- Glycaemic variability and risk of adverse cardiovascular events in acute coronary syndrome.Diabetes & vascular disease researchReview
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Authors and funding
12 authors at 5 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundFew studies have analyzed the relationship between glucose variability (GV) and adverse health outcomes in patients with differences in glycemic status. The present study tests the hypothesis that GV predicts all-cause mortality regardless of glycemic status after simple adjustment (age and sex) and full adjustment (age, sex, cardiovascular disease, hypertension, use of aspirin, statins, GLP-1 receptor agonists, SGLT-2 inhibitors and DPP-4 inhibitors, baseline FPG and average HbA1c).
methodsProspective cohort study with 795 normoglycemic patients, 233 patients with prediabetes, and 4,102 patients with type 2 diabetes. GV was measured using the coefficient of variation of fasting plasma glucose (CV-FPG) over 12 years of follow-up. The outcome measure was all-cause mortality.
resultsA total of 1,223 patients (657 men, 566 women) died after a median of 9.8 years of follow-up, with an all-cause mortality rate of 23.35/1,000 person-years. In prediabetes or T2DM patients, the fourth quartile of CV-FPG exerted a significant effect on all-cause mortality after simple and full adjustment. A sensitivity analysis excluding participants who died during the first year of follow-up revealed the following results for the highest quartile in the fully adjusted model: overall, HR (95%CI) = 1.54 (1.26-1.89); dysglycemia (prediabetes and T2DM), HR = 1.41 (1.15-1.73); T2DM, HR = 1.36 (1.10-1.67).
conclusionWe found CV-FPG to be useful for measurement of GV. It could also be used for the prognostic stratification of patients with dysglycemia.
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