Association between systemic immune-inflammation index and cancer: a population-based study

This is the authors' abstract. We don't add key points for this paper.

Purpose Cancer is a major social, public health, and economic issue. The Systemic Immune-Inflammation Index (SII) has been linked to the prognosis of various cancer types. This study aims to explore the potential relationship between SII and cancer. Methods This study utilized National Health and Nutrition Examination Survey (NHANES) data from 2013 to 2020, encompassing a total of 16,897 participants. We employed multivariate logistic regression models, subgroup analyses, smooth curve fitting, and threshold effect analyses to examine the relationship between SII and cancer. Results The analysis of the multivariate logistic regression models revealed a significant positive correlation between SII and cancer, consistent across most subgroups. Additionally, an "N"-shaped pattern was observed between SII and cancer, with significant inflection points at 1169 and 1950. Notably, when SII was below 1169, the positive correlation between SII and cancer remained statistically significant. Conclusion Our findings indicate an "N"-shaped relationship between SII and cancer, suggesting a potentially high cost-effectiveness ratio in cancer screening that could enhance early cancer detection. However, this discovery necessitates further validation through additional research.