Risk factors for infantile hemangioma: a meta-analysis
Y Ding, JZ Zhang, SR Yu, F Xiang, XJ Kang - World Journal of Pediatrics, 2020 - Springer
Y Ding, JZ Zhang, SR Yu, F Xiang, XJ Kang
World Journal of Pediatrics, 2020•SpringerBackground Infantile hemangioma (IH) is one of the most common tumors in infants. Its
pathogenesis is complex and poorly understood. The risk factors of IH have been
extensively studied from clinical and epidemiological perspectives in recent years, but the
conclusions in the literature reports are inconsistent. To provide a reference for the
prevention of hemangioma, we conducted a meta-analysis of the published studies of
potential risk factors for IH. Methods The Cochrane Library, Ovid, PubMed, and Web of …
pathogenesis is complex and poorly understood. The risk factors of IH have been
extensively studied from clinical and epidemiological perspectives in recent years, but the
conclusions in the literature reports are inconsistent. To provide a reference for the
prevention of hemangioma, we conducted a meta-analysis of the published studies of
potential risk factors for IH. Methods The Cochrane Library, Ovid, PubMed, and Web of …
Background
Infantile hemangioma (IH) is one of the most common tumors in infants. Its pathogenesis is complex and poorly understood. The risk factors of IH have been extensively studied from clinical and epidemiological perspectives in recent years, but the conclusions in the literature reports are inconsistent. To provide a reference for the prevention of hemangioma, we conducted a meta-analysis of the published studies of potential risk factors for IH.
Methods
The Cochrane Library, Ovid, PubMed, and Web of Science databases were searched systematically. Log odds ratios (log ORs), logistic regression standard errors and 95% confidence intervals (CIs) were used to compare the correlation between IH and potential risk factors. Review Manager 5.3.3 was used for the statistical analysis.
Results
Six studies were included and 17 potential risk factors were eventually evaluated. P values < 0.05 were found for female gender (P < 0.01, OR 2.04, 95% CI 1.65–2.51), low birth weight (P < 0.01, OR 4.39, 95% CI 3.05–6.31), multiple gestation (P = 0.01, OR 2.39, 95% CI 1.21–4.71), preterm birth (P = 0.03, OR 2.37, 95% CI 1.07–5.23), progesterone therapy (P < 0.01, OR 2.73, 95% CI 2.12–3.51), and family history (P = 0.01, OR 1.98, 95% CI 1.16–3.38).
Conclusions
This meta-analysis revealed that risk factors, including female gender, low birth weight, multiple gestation, preterm birth, progesterone therapy, and family history may affect the occurrence of IH.
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