ArticleCardiovascular diabetology2024
Limitations of using COX proportional hazards model in cardiovascular research.
Article in Cardiovascular diabetology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers, 1 of them a synthesis that pooled it.
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Who cites it
10 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Limitations of nomogram models in predicting survival outcomes for glioma patients.Frontiers in immunology · 2025Pooled it
- Feature Importance Bias and Competing Risks: Methodological Concerns in Ensemble Models for Diabetic Kidney Disease.Diabetes, obesity & metabolism · 2026Article
- Improving arrhythmic risk prediction using cardiac magnetic resonance within deep learning in ischemic heart disease.NPJ cardiovascular health · 2026Article
- Contrastive multimodal deep learning for survival prediction in grade 2/3 gliomas.JNCI cancer spectrum · 2026Article
- Revision-Free Survival After MUTARS Total Knee Reconstruction in Limb Salvage Surgery: Primary Implantation Versus Conversion.Cancers · 2026Article
- Machine learning-based risk stratification identifies heart failure with preserved ejection fraction as an independent predictor of adverse outcomes in hypertrophic cardiomyopathy.Scientific reports · 2026Article
- Deep learning-driven multi-omics analysis: enhancing cancer diagnostics and therapeutics.Briefings in bioinformatics · 2025Review
- Commentary: Molecular and immunological features of TREM1 and its emergence as a prognostic indicator in glioma.Frontiers in immunology · 2025Article
- Cardiometabolic dysfunction burden and mortality outcomes in metabolic dysfunction-associated steatotic liver disease.PloS one · 2025Article
- Pan-cancer multi-omics analysis to identify the potential pro-oncogenic properties of GREM1 as a promising targets for cancer prognosis and therapeutics.International journal of immunopathology and pharmacologyArticle
Corrections and comments
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Authors and funding
3 authors.
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No grant is acknowledged in the PubMed record.
Abstract
The article by Zhao et al. titled "Associations of Triglyceride-Glucose (TyG) Index with Chest Pain Incidence and Mortality among the U.S. Population" provides valuable insights into the positive correlation between the TyG index and chest pain incidence, as well as a nonlinear relationship with mortality. However, the use of the COX proportional hazards model in their analysis presents several limitations. The assumption of constant hazard ratios over time may not hold, potentially leading to biased estimates. The model's struggle with time-dependent covariates and the possibility of residual confounding are notable concerns. Additionally, the study's subgroup analyses might suffer from reduced statistical power, and potential interactions with other metabolic markers were not explored. Considering these limitations, future research should adopt alternative approaches, such as time-varying covariate models, to provide a more comprehensive understanding of the relationship between the TyG index and cardiovascular outcomes.
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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.