Systemic shifts toward lifelong cardiometabolic prevention address gaps in managing cardiovascular disease and type 2 diabetesBarriers to heart health care are not a lack of science

Cardiometabolic diseases—principally cardiovascular disease, type 2 diabetes, and obesity—remain leading global drivers of premature mortality, disability, and healthcare expenditure, despite substantial advances in their biological understanding, risk assessment, and treatment. This narrative review critically examines why increasingly effective preventive interventions have failed to yield a commensurate reduction in population-level disease burden, identifying the biological, clinical, organizational, economic, and social factors that sustain this evidence-to-practice gap. It integrates evidence across three complementary dimensions: (1) The biological continuum, linking metabolic dysfunction, chronic low-grade inflammation, and cumulative exposure to apolipoprotein B (ApoB)-containing lipoproteins with atherosclerotic cardiovascular disease; (2) The clinical continuum, extending from early risk recognition and targeted diagnostic evaluation to individualized intervention and longitudinal reassessment; and (3) The organizational continuum, required to deliver coordinated, multidisciplinary prevention across health systems. Particular attention is given to total and lifetime cardiovascular risk, the clinical application and limitations of SCORE2 and SCORE2-OP, and the diagnostic challenges of identifying younger or apparently healthy individuals whose low short-term risk masks significant cumulative lifetime exposure. The review critically evaluates the causal role and clinical interpretation of ApoB-containing lipoproteins, including lipoprotein(a) [Lp(a)], and the complementary role of emerging biomarkers and subclinical atherosclerosis imaging, while carefully distinguishing enhanced risk prediction from demonstrated improvements in hard clinical outcomes. An educational and translational clinical vignette illustrates how the longitudinal interpretation of routine clinical and laboratory data supports proportionate assessment of persistent dyslipidemia, treatment response, and plausible primary and secondary contributors to cardiometabolic risk well before symptom onset. Rather than attributing borderline abnormalities to a single occult disorder, the vignette demonstrates how standardized confirmation, verification of medication exposure, etiological assessment, targeted referral, and structured reassessment can translate routine data into actionable preventive pathways. Ultimately, this analysis indicates that cardiometabolic prevention is constrained less by a lack of scientific evidence or effective pharmacotherapies than by delayed risk recognition, therapeutic inertia, poor treatment adherence, fragmented care pathways, limited multidisciplinary coordination, structural health inequalities, and the incomplete integration of clinical, laboratory, behavioral, environmental, and patient-reported data. Improving outcomes therefore demands a systemic shift from episodic, disease-specific management toward early, lifelong, proportionate, coordinated, equitable, and patient-centered cardiometabolic prevention—underpinned by implementation science, precision prevention, digital health solutions, health-economic evaluations, patient-reported outcome measures (PROMs), and patient-reported experience measures (PREMs).