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Erschienen in:
02.05.2023 | Meta- Analysis
Geographic variation in the association between Hashimoto’s thyroiditis and Papillary thyroid carcinoma, a meta-analysis
Erschienen in: Endocrine | Ausgabe 3/2023
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Purpose
The association between papillary thyroid cancer (PTC) and Hashimoto’s thyroiditis (HT) remains a matter of debate. Several genetic and environmental factors have been found to influence this association. Because of the variation in these factors among different populations, we conducted a country- and region-based meta-analysis to examine whether the geographic area influences this association.
Methods
We searched PubMed and Web of Science databases for original articles that investigated the association between HT and PTC from February 1955 to February 28, 2023. The included studies were stratified according to their country and region of origin. Various subgroup analyses were conducted. The primary outcome was the pooled relative risk (RR) and its 95% confidence interval (CI) for each region and country.
Results
Forty-six studies including a total of 93,970 participants met our inclusion criteria. They originated from 16 countries distributed in five regions. Significant variation was found among countries but not among regions. Upon analysis of all 46 included studies, countries were classified based on their RR and its 95% CI. Excluding countries with pooled sample sizes <500, Sri Lanka (RR 4.23, 95% CI 2.91–6.14), Poland (RR 3.16, 95% CI 2.79–3.57) and Japan (2.68, 2.14–3.36) showed the strongest association between HT and PTC while Greece (RR 1.06, 95% CI 1.00–1.13), Spain (RR 0.70, 95% CI 0.23–2.11), and Jordan (0.62, 0.32–1.32) showed no significant association.
Conclusion
Our findings revealed a variation in the association between HT and PTC among countries but not among regions. The country-to-country variation could be due to certain genetic and/or environmental factors subject to geographic variation that influence this association. These findings may help guide health policies aiming to mitigate the risk of PTC in the HT population by helping identify high-risk and low-risk countries.
