| Systematic reviews / meta-analyses |
| Multiple systematic reviews and meta-analyses report associations between proposed tests and outcomes but conclude limited or inconsistent evidence of clinical utility or incremental value over standard risk factors (examples: emerging risk factors collaboration on lipid markers; Sequi-Dominguez cfPWV meta-analysis; Willeit et al. CIMT progression meta-analysis). |
| Cohort / observational studies |
| Large cohort and observational studies show associations of biomarkers/measurements with CVD events (eg, BiomarCaRE, Jackson Heart Study, various population cohorts), but do not establish that testing changes management or improves outcomes. |
| ACCELERATE trial subgroup analyses |
| Post-hoc analysis of ACCELERATE found higher Lp(a) tertiles associated with increased cardiovascular events in a high-risk secondary prevention cohort, but did not demonstrate that measuring Lp(a) within clinical care improves outcomes. |
| BiomarCaRE (Waldeyer et al. 2017) |
| Analysis of 56,804 participants found Lp(a) ≥90th percentile associated with higher hazard for major coronary events (HR ~1.49) and CVD (HR ~1.44) versus lowest third, suggesting association but not proven clinical utility for management. |
| Lp-PLA2 meta-analyses |
| Multiple meta-analyses report modest associations between higher Lp-PLA2 mass/activity and increased risk of stroke and CHD (eg Hu et al. 2019; Li et al. 2017), but heterogeneity and lack of evidence that testing alters outcomes limit clinical utility. |
| Endothelial function studies |
| Studies of peripheral arterial tonometry (PAT) and brachial flow-mediated dilation show mixed and often non-significant associations with composite CVD endpoints (eg Framingham, Gutenberg Health Study); overall evidence insufficient to support routine clinical use. |
| Cholesterol efflux capacity (CEC) meta-analyses |
| Systematic reviews/meta-analyses (eg Lee et al. 2021; Cheng et al. 2022) show lower CEC is associated with higher CAD risk and that a 0.1 unit increase in CEC is linked to ~5% reduced adverse CV events, but standardized assays, incremental value, and impact on outcomes are not established. |
| Multi-protein algorithmic tests (various panels/HART, HART CADhs, proteomic panels) |
| Evidence for multi-protein, algorithm-scored blood tests is limited to observational and diagnostic performance studies (eg Hayes brief on HART, McCarthy et al., Neumann et al., Mohebi et al.); clinical utility for screening or improving outcomes has not been demonstrated. |
| ACC/AHA guideline statements |
| ACC/AHA guidance does not recommend routine CIMT, arterial stiffness, or advanced lipoprotein analysis for asymptomatic adults (Class III), and states Lp-PLA2 may be reasonable in intermediate-risk adults but no evidence it changes management. |
| ESC/EAS and NLA guidance on Lp(a) |
| ESC/EAS recommends at least once lifetime Lp(a) measurement to identify very high inherited levels (>180 mg/dL); NLA and other societies recommend selective Lp(a) testing in specified clinical contexts but acknowledge limited evidence that lowering Lp(a) improves outcomes. |
| Biomarkers evidence summaries (Emerging Risk Factors Collaboration) |
| Large pooled cohort analyses found replacing total cholesterol/HDL-C with various advanced lipid parameters (apoB, Lp(a), Lp-PLA2) did not substantially improve CVD risk prediction. |
| Pulse wave velocity (cfPWV) prognostic studies/meta-analysis |
| Systematic review/meta-analysis of cfPWV found it predicts cardiovascular and all-cause mortality (pooled DOR/AUC reported) but incremental value and clinical utility for management were not reported. |