Risk of Cancer in Patients with Congenital Heart Disease: A Systematic Review and Meta-Analysis

Abstract

Introduction: There has been remarkable progress in both diagnosis and treatment of patients with congenital heart disease (CHD), with an increasing number of survivors. Whether patients with CHD are more likely to develop cancer is still a controversial issue. This study aimed to quantitatively estimate the association between patients with CHD and the risk of developing cancer through meta-analysis.

Methods: Web of Science, PubMed, and Embase databases were searched from inception to September 2023 to identify potentially relevant case-control studies and cohort studies that reported risk estimates and confidence intervals (CIs). RevMan software was used to analyze the pooled effect size and test for heterogeneity. The random effect and fixed effect models were applied to the study period. Egger's test was performed to examine publication bias.

Results: We analyzed six studies, consisting of 2 case-control studies and 4 cohort studies comprising 276,124 participants. The overall pooled hazard risk for cancer in patients with CHD was 1.71 (95% CI: 1.28-2.28; p < 0.01), with significant heterogeneity (I2 = 97%, p < 0.01). The quantitative analysis of studies indicates that patients with CHD have an increased risk of developing cancer, even after adjusting for chromosomal disorders.

Conclusion: Our study highlights the importance of controlling modifiable factors in cancer prevention and emphasizes the need for health education for patients with CHD in primary care. Given the limited number of studies included in this analysis, further research is needed to accurately quantify the cancer risk of exposed versus unexposed CHD.

Keywords: Cancer; Congenital heart disease; Hazard risk; Meta-analysis; Systematic review.

Fig. 1.

Flowchart of study selection process.

Fig. 2.

Forest plot demonstrates the cancer risk in juvenile and adult populations with CHD compared to those without CHD. CHD, congenital heart disease; CI, confidence interval; df, degrees of freedom.