Observational studyCardiovascular diabetology2018
Glycemic variability determined with a continuous glucose monitoring system can predict prognosis after acute coronary syndrome.
Observational study in Cardiovascular diabetology, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 59 papers, 4 of them syntheses that pooled 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.
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
59 citing papers in PubMed, 4 syntheses or guidelines pooled it, 86 citations in OpenAlex.
- Predictive value of different glycemic variability indicators for prognosis in critically ill patients: a meta-analysis.Frontiers in endocrinology · 2026Pooled it
- Influence of dipeptidyl peptidase-4 inhibitors on glycemic variability in patients with type 2 diabetes: A meta-analysis of randomized controlled trials.Frontiers in endocrinology · 2022Pooled it
- Insulin Degludec Versus Insulin Glargine on Glycemic Variability in Diabetic Patients: A Systematic Review and Meta-Analysis of Randomized Controlled Trials.Frontiers in endocrinology · 2022Pooled it
- Acute glycemic variability on admission predicts the prognosis in hospitalized patients with coronary artery disease: a meta-analysis.Endocrine · 2020Pooled it
- Interactive Digital Visualization Counseling for Lifestyle Change in Patients at Risk of Cardiovascular Diseases: Randomized Controlled Trial.JMIR public health and surveillance · 2026Trial
- Comparison of efficacy and safety of insulin degludec/liraglutide and insulin glargine U-100/lixisenatide in individuals with type 2 diabetes mellitus using professional continuous glucose monitoring.Journal of diabetes investigation · 2024Trial
- Fasting Glucose of 6.1 mmol/L as a Possible Optimal Target for Type 2 Diabetic Patients with Insulin Glargine: A Randomized Clinical Trial.Journal of diabetes research · 2021Trial
- Evaluating Glycemic Control During Basalin or Lantus Administration in Adults With Controlled Type 2 Diabetes Mellitus Using Continuous Glucose Monitoring.Frontiers in endocrinology · 2021Trial
- Glycemic variability in type 2 diabetes mellitus and acute coronary syndrome: liraglutide compared with insulin glargine: a pilot study.The Journal of international medical research · 2020Trial
- Development and validation of an explainable machine learning model for risk stratification in patients with clinically suspected acute pulmonary embolism: retrospective study.Clinics (Sao Paulo, Brazil) · 2026Article
- Serum 1,5-Anhydroglucitol Identifies Residual Mortality Risk Beyond Time in Range in Type 2 Diabetes: A Cohort Study.Journal of diabetes · 2026Article
- Association between stress hyperglycemia ratio and mortality of traumatic brain injury patients based on MIMIC-IV and eICU databases.BMC neurology · 2026Article
- The prognostic role of glycemic variability in predicting the risk of adverse cardiovascular events in patients with cardiovascular diseases: a meta-analysis.Diabetology & metabolic syndrome · 2025Review
- Prognostic value of glycaemic variability for mortality in cardiogenic shock patients: a retrospective cohort study.Cardiovascular diabetology · 2025Article
- Hypoglycemia and glycemic variability in acute myocardial infarction: the lesser-known aspects of glycemic control.Cardiovascular diabetology · 2025Review
- Association between glycemic variability and all-cause mortality in critically ill patients with non-traumatic subarachnoid hemorrhage: a retrospective study based on the MIMIC-IV database.European journal of medical research · 2025Article
- The clinical importance of measuring glycaemic variability: Utilising new metrics to optimise glycaemic control.Diabetes, obesity & metabolism · 2024Review
- Noniatrogenic hypoglycemia: A universal marker for poor outcomes.JTCVS open · 2024Article
- Predictive value of glucose coefficient of variation for in-hospital mortality in acute myocardial infarction patients undergoing PCI: Insights from the MIMIC-IV database.International journal of cardiology. Cardiovascular risk and prevention · 2024Article
- Research progress on the association between glycemic variability index derived from CGM and cardiovascular disease complications.Acta diabetologica · 2024Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
16 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundImpaired glucose metabolism is an established risk factor for coronary artery disease. Previous studies revealed that glycemic variability (GV) is also important for glucose metabolism in patients with acute coronary syndrome (ACS). We explored the association between GV and prognosis in patients with ACS.
methodsA total of 417 patients with ACS who received reperfusion wore a continuous glucose monitoring system (CGMS) in a stable phase after admission and were monitored for at least 24 consecutive h. The mean amplitude of glycemic excursion (MAGE) was calculated as a marker of GV. We divided into two groups based on the highest tertile levels of MAGE (MAGE = 52 mg/dl). The groups were followed up for a median of 39 months [IQR 24-50 months]. The primary endpoint was the incidence of major adverse cardiovascular and cerebrovascular events (MACCE).
resultDuring follow-up, 66 patients experienced MACCE (5 patients had cardiovascular death, 14 had recurrence of ACS, 27 had angina requiring revascularization, 8 had acute decompensated heart failure, and 16 had a stroke). MACCE was more frequently observed in the high MAGE group (23.5% vs. 11.6%, p = 0.002). In multivariate analysis, high MAGE was an independent predictive factor of poor prognosis for MACCE (odds ratio, 1.84; 95% confidence interval, 1.01-3.36; p = 0.045).
conclusionGlycemic variability determined with a CGMS is a predictor of prognosis in patients with ACS without severe DM. Trial registration UMIN 000010620. Registered April 1st 2012.
Indexed as
Identifiers
What OpenQuestion 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 OpenQuestion graph.