SynthesisBMC cardiovascular disorders2014
Glucose-insulin-potassium therapy in patients with acute coronary syndrome: a meta-analysis of randomized controlled trials.
Synthesis in BMC cardiovascular disorders, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers, 1 of them a synthesis 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
8 citing papers in PubMed, 1 synthesis or guideline pooled it, 16 citations in OpenAlex.
- Pooled it
- One-Year Outcome of Intensive Insulin Therapy Combined to Glucose-Insulin-Potassium in Acute Coronary Syndrome: A Randomized Controlled Study.Journal of the American Heart Association · 2017Trial
- Metabolic regulation for the treatment of ischemic heart disease with stem cells and extracellular vesicles.NPJ cardiovascular health · 2025Review
- Modified Glucose-insulin-potassium Therapy for Hemorrhage-induced Traumatic Cardiac Arrest in Rabbits.Current medical science · 2023Article
- Beneficial Effects of Insulin on Ischemia Reperfusion Injury in Human Skeletal Muscle.Vascular specialist international · 2022Article
- Mouse models of atherosclerosis and their suitability for the study of myocardial infarction.Basic research in cardiology · 2020Review
- Comparative metabonomics of Wenxin Keli and Verapamil reveals differential roles of gluconeogenesis and fatty acid β-oxidation in myocardial injury protection.Scientific reports · 2017Article
- O-GlcNAcylation and cardiovascular disease.Biochemical Society transactions · 2017Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundGlucose-insulin-potassium (GIK) has been advocated in the setting of acute coronary syndrome (ACS) to reduce ischemia-related arrhythmias and myocardial injury. We conducted a meta-analysis of randomized controlled trials (RCTs) to assess whether the use of GIK infusions >3 or <3 hours after the onset of symptoms reduce mortality or cardiac arrest.
methodsElectronic databases (Medline, EMBASE, and Cochrane Central Register of Controlled Trials) and references of retrieved articles were searched for RCTs evaluating the effect of GIK infusions, <3 hours or >3 hours after the onset of symptoms, on mortality and/or cardiac arrest. Pooled odds ratios (ORs) with 95% confidence intervals (CIs) were calculated for each outcome.
resultsNine trials were identified and eligible for review. The summary OR for in-hospital mortality was 1.01 (95% CI 0.94 to 1.09), based on 2,542 deaths among 27,294 patients. The subgroup analysis according to the study enrollment time (within 3 hours [OR, 0.77, 95% CI 0.50-1.16], vs. >3 hours [OR, 0.90; 95% CI, 0.67-1.21]) did not reveal any difference in mortality.
conclusionsAdministration of GIK in ACS patients does not significantly reduce mortality whether or not GIK administration >3 or <3 hours after the onset of symptoms.
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.