Cardiovascular Risk, Health Metrics, and Cancer Prediction

Résumé fourni par la source

BACKGROUND: Cardiovascular disease (CVD) and cancer are leading global causes of morbidity and mortality. Given the shared risk factors, it is plausible that CVD risk scores and cardiovascular health (CVH) metrics could predict cancer risk. OBJECTIVES: The authors sought to identify and summarize studies examining the association between CVD risk scores, CVH metrics, and incident cancer. METHODS: A systematic search of 4 databases (Embase, PubMed, Scopus, Web of Science: Core) was conducted in April 2024 without language or date restrictions. Five reviewers (G.H., J.K., S.J.K., M.H., V.L.R.) independently screened records using Covidence software and extracted data from eligible prospective studies (adults aged ≥18 years; cancer incidence as outcome; CVD risk scores or CVH metrics as exposure). RESULTS: Of 4,165 records screened, 13 studies (14 CVD or CVH metrics) were included. Heterogeneity between scales precluded a meta-analysis. Four studies evaluated CVD risk scores (eg, atherosclerotic CVD) and 10 reported CVH metrics (eg, the American Heart Association's Life's Simple 7). Sample sizes ranged from 1,880 to 342,226, with median follow-up from 8.1 to 29.6 years. The majority included all types of cancer (71.4%), including breast, lung, colorectal, and prostate cancer types, with cancer events ranging from 387 to 11,643. Higher CVD risk scores were consistently associated with increased cancer risk incidence (HRs: 1.16-3.71). Ideal CVH metrics were associated with reduced risk (HRs: 0.49-0.95). CONCLUSIONS: Despite heterogeneity in CVD risk metrics and cancer types, most studies suggested that worse CVD risk scores or CVH metrics predict greater cancer risk. Future studies should focus on specific CVD risk metrics and cancer types to produce evidence suitable for a meta-analysis.

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