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Review
. 2022 Jun 30:9:898304.
doi: 10.3389/fsurg.2022.898304. eCollection 2022.

The Relationship Between Systemic Immune Inflammatory Index and Prognosis of Patients With Non-Small Cell Lung Cancer: A Meta-Analysis and Systematic Review

Affiliations
Review

The Relationship Between Systemic Immune Inflammatory Index and Prognosis of Patients With Non-Small Cell Lung Cancer: A Meta-Analysis and Systematic Review

Wei Huang et al. Front Surg. .

Abstract

Background: The relationship between systemic immune inflammation index (SII) and the prognosis of cancer has always been a subject of intense interest. However, the prognostic value of SII in non-small cell lung cancer (NSCLC) patients remains a controversial topic.

Objective: To evaluate the effect of SII index on prognosis of NSCLC.

Methods: We conducted a comprehensive search of PubMed, EMBASE, and the Cochrane Library databases to determine correlation between SII index, clinicopathological features, overall survival (OS), and progression-free survival (PFS). Odds ratio (ORs) and 95% confidence interval (CIs) were used to assess the connection between SII and clinicopathological parameters, and HRs and 95% CIs were used to assess the connection between SII and survival.

Results: Seventeen studies with 8,877 cases were included in the analysis. Compared with NSCLC patients with low SII level, patients with NSCLC with high SII level had a poor OS (HR = 1.75, 95% CI, 1.50-2.00; P < 0.001) and had a poor PFS (HR = 1.61, 95% CI, 1.25-1.96; P < 0.001). In addition, patients with higher pathological stage (II-III) had higher SII levels (OR = 2.32, 95% CI, 2.06-2.62; P < 0.001).

Conclusions: The SII index is a promising prognostic biomarker for NSCLC and may help clinicians choose appropriate NSCLC treatments.

Keywords: meta-analysis; non-small cell lung cancer; prognosis; systematic review; systemic immune inflammatory index.

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Conflict of interest statement

The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.

Figures

Figure 1
Figure 1
Literature screening process.
Figure 2
Figure 2
Forest plot depicting the relationship between SII levels and OS in NSCLC.
Figure 3
Figure 3
Forest plot depicting the relationship between SII levels and PFS in NSCLC.
Figure 4
Figure 4
Forest plot depicting the relationship between SII levels and clinicopathological characteristics of NSCLC patients.
Figure 5
Figure 5
Funnel plot, publication bias assessment.

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