ArticleEuropean journal of preventive cardiology2026
Association and predictive value of immunoglobulin and complement levels for incident coronary heart disease: a nested case-control study in Chinese adults.
Article in European journal of preventive cardiology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.
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
2 citing papers in PubMed.
- Navigating immunity to predict cardiovascular risk.European journal of preventive cardiology · 2026Article
- Complement Components C1r and C8 Serve as Potential Inflammatory Biomarkers for Coronary Heart Disease Severity: The Mediating Role of C-Reactive Protein.Journal of inflammation research · 2026Article
Corrections and comments
- Commented on by
Authors and funding
16 authors.
Funding
Abstract
aimsTo investigate the associations of serum immunoglobulin (Ig) and complement levels with incident coronary heart disease (CHD), and to explore the potential mediating role of C-reactive protein (CRP). METHODS AND
resultsWe measured serum levels of IgA, IgE, IgG, IgM, complement 3 (C3), complement 4 (C4), and CRP in a nested case-control study within the Dongfeng-Tongji cohort, consisting of 1605 CHD cases and 1605 age- and sex-matched controls. We quantified the associations of serum Ig and complement levels with incident CHD using conditional logistic regression and restricted cubic spline models. Mediation analysis was conducted to explore the role of CRP in these associations. The additional predictive ability of an immune indicator score beyond traditional risk factors was also evaluated. Higher IgA and C3 levels were associated with an increased risk of CHD in a linear manner [odds ratio (OR) (95% confidence interval, CI): 1.35 (1.11-1.62), P = 0.002; OR (95% CI): 2.01 (1.17-3.44), P = 0.01, respectively]. Conversely, higher IgG exhibited a significant linear decrease in CHD risk [OR (95% CI): 0.55 (0.36-0.83), P = 0.005]. C-reactive protein mediated 5.70% and 12.51% in the associations of IgA and C3 with incident CHD, respectively. Adding an immune indicator score to the traditional risk model improved CHD prediction more effectively than adding CRP [area under receiver operating characteristic curve (AUC): 0.85% vs. 0.21%; net reclassification improvement (NRI): 15.33% vs. 7.85%; integrated discrimination improvement (IDI): 0.80% vs. 0.17%].
conclusionOur study identified IgA and C3 as independent risk factors and IgG as a protective factor for CHD. These immune markers may improve CHD risk prediction beyond traditional and CRP models, highlighting their potential for better risk assessment.
Indexed as
Identifiers
40155054What 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.