ArticleInternational urology and nephrology2024
Triglyceride-glucose index predicts major adverse cardiovascular events in patients with chronic kidney disease.
Article in International urology and nephrology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 7 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
7 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Association between triglyceride-glucose index and clinical outcomes among patients with chronic kidney disease: a meta-analysis.BMC nephrology · 2025Pooled it
- Influence of Multiple Risk Factor Management on the Onset and Progression of Chronic Kidney Disease in Patients With Hypertension.Journal of the American Heart Association · 2025Article
- Machine learning based model for predicting cardiovascular disease using dynamic triglyceride-glucose index: a longitudinal study cohort CHARLS database.Journal of geriatric cardiology : JGC · 2025Article
- Inter-organ communication: pathways and targets to cardioprotection and neuro-protection. A report from the 12th Hatter Cardiovascular Institute workshop.Basic research in cardiology · 2025Article
- Prognostic Value of the Triglyceride-Glucose Index Combined with Non-HDL-C/HDL-C Ratio for Predicting Coronary Microvascular Dysfunction in ACS Patients Post-PCI.International journal of general medicine · 2025Article
- Association between triglyceride-glucose index and cardiovascular disease in US adults with chronic kidney disease: a population-based study.BMC cardiovascular disorders · 2024Article
- The U-shape relationship between insulin resistance-related indexes and chronic kidney disease: a retrospective cohort study from National Health and Nutrition Examination Survey 2007-2016.Diabetology & metabolic syndrome · 2024Article
Corrections and comments
- Erratum issued
Authors and funding
7 authors.
Funding
Abstract
background and purposeTriglyceride-glucose (TyG) index has been regarded as a reliable surrogate marker of insulin resistance for predicting cardiovascular outcomes. The current study aimed to explore the associations between TyG index with major adverse cardiovascular events (MACE) in patients with chronic kidney disease (CKD). METHODS/PATIENTS: 13,517 patients with chronic kidney disease (CKD) from the Kailuan study were included. Patients were divided into quartiles according to the TyG index. The outcomes were MACE, including acute myocardial infarction (AMI) and ischemic stroke (IS). The association between TyG index and the risk of MACE was analyzed by Cox regression models.
resultsDuring 13.87-year follow-up, a total 1356 MACEs occurred. Multivariable Cox proportional-hazards analyses showed that a higher TyG index quartile was associated with an elevated risk of MACE.
conclusionsTyG index is significantly related to MACE in patients with CKD. TyG index can be regarded as a novel predictor of MACE for patients with CKD.
Indexed as
Identifiers
38536621What 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.