The Relationship Between C-Reactive Protein-Triacylglycerol-Glucose Index and All-Cause Mortality in Patients With Cardiovascular Disease: A Retrospective Cohort Study and Development of a Machine Learning Prediction Model.

Cardiovasc Ther · 2025 · PMC12422858 · PMID 40937117

Europe PMC DOI

hedged sentences

0.5150

closest p · 10.3× alpha

0.5150

boldest claim

The sentences

did not reach statistical significancep = 0.515not close (p > 0.1)

Although visual inspection suggests a trend toward lower survival probability with increasing CTI quartiles, the log-rank test indicated that these differences did not reach statistical significance ( p = 0.515).

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a nonsignificant trendp = 0.515not close (p > 0.1)

Interestingly, while our adjusted Cox regression models demonstrated significant associations between CTI and all-cause mortality, the unadjusted Kaplan–Meier analysis showed only a nonsignificant trend ( p = 0.515).

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