ArticlePopulation health metrics2025
Non-linear correlation between the ratio of high-density lipoprotein cholesterol to C-reactive protein and all-cause mortality in adults: an extensive study based on nationwide data.
Article in Population health metrics, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
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
1 citing paper in PubMed.
- Stage-specific utility of obesity indices across the chronic kidney disease continuum.Renal failure · 2026Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors.
Funding
Abstract
backgroundPrevious research has explored the association between the ratio of high-density lipoprotein cholesterol to C-reactive protein (HDL-C/CRP) and the mortality risk in individuals with heart failure. This study aims to investigate the correlation between HDL-C/CRP ratio and all-cause mortality through the analysis of extensive data derived from the general public.
methodsThis study analyzed NHANES data and surveyed 28,544 adults from America. Survival outcomes were evaluated using Kaplan-Meier curves, while a survey-weighted multivariable Cox proportional hazards model was employed. Restricted cubic splines (RCS) and hierarchical analysis were used to investigate associations and interactions, respectively. Additionally, the ability of lnHDL-C/CRP to predict all-cause death was assessed using receiver operating characteristic curves.
resultsDuring a mean follow-up period of 156.5 months, 5965 (20.9%) died from any cause. Weighted RCS analysis revealed an L-shaped association between HDL-C/CRP ratio and all-cause mortality. Below a lnHDL-C/CRP of 6.65 (HDL-C/CRP ratio of 773), the likelihood of all-cause death decreased by 14% with every 1-point rise in lnHDL-C/CRP [HR (95% CI) 0.86 (0.81, 0.90)]. Including lnHDL-C/CRP in the baseline risk model significantly enhanced its predictive power for mortality. Consistent findings were observed in subgroups, with individuals under 60 years or with a BMI over 30 showing a stronger correlation between HDL-C/CRP ratio and overall mortality risk.
conclusionsThe association between HDL-C/CRP ratio and overall mortality in the general US adult population is non-linear, particularly significant in adults under 60 years old and obese individuals. HDL-C/CRP ratio could be regarded as a potential marker for assessing mortality risk.
Indexed as
Identifiers
What Socratic 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 Socratic graph.