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Purpose <p>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.</p> Methods <p>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.</p> Results <p>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.</p> Conclusion <p>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.</p>

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

  • 期刊论文

  • 出版模式：

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  • 发表日期：

    2025年12月16日

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  • Peng Qi,
  • Mengjie Huang,
  • Haiyan Zhu

摘要

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.