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Systemic Immune-Inflammation Index Shows Diagnostic and Prognostic Value in Thyroid CancerImmune Index Shows Link to Lymph Node Spread in Thyroid Cancer

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Key Takeaway
Consider SII as an adjunctive biomarker for thyroid cancer diagnosis and risk stratification, but interpret cautiously due to heterogeneity.

This meta-analysis of 10 studies assessed the diagnostic and prognostic utility of the Systemic Immune-Inflammation Index (SII) in patients with thyroid cancer. The analysis included six studies for diagnostic accuracy and five for the association with lymph node metastasis (LNM). The authors found that SII had moderate diagnostic performance, with a pooled area under the curve of 0.805. Sensitivity and specificity were reported, but the authors caution that substantial between-study heterogeneity and threshold variability affect the reliability of these estimates.

For the association with LNM, SII was significantly higher in patients with lymph node involvement compared to those without. The mean difference was notable, though heterogeneity was moderate. The authors note that partial verification bias may have influenced specificity estimates.

Key limitations include substantial heterogeneity across studies, variability in SII cut-off thresholds, and potential verification bias. The findings are considered preliminary, and no standardized cut-off for SII has been established. The analysis does not establish causation between SII and LNM.

Clinically, SII may serve as an adjunctive biomarker for diagnostic triage and preoperative risk stratification in thyroid cancer. However, due to the limitations, clinicians should interpret these results cautiously and not rely solely on SII for clinical decision-making.

Researchers analyzed data from 10 different studies involving over 2,000 patients with thyroid cancer. They looked at the Systemic Immune-Inflammation Index, which is a calculation based on blood counts. The study found that this index had a sensitivity of 76.8% and a specificity of 71.2% in diagnosing thyroid cancer.

The analysis also found a significant link between higher immune scores and lymph node metastasis. Patients whose cancer had spread to nearby lymph nodes showed significantly higher scores compared to those whose cancer had not spread. This suggests the marker could help doctors identify high-risk cases before surgery.

Because these results come from several different studies with varying methods, the findings are currently considered preliminary. There is a lot of variation in how the test was performed across different locations. While this tool could eventually help doctors decide which patients need more intensive care, it is not yet a standard replacement for current diagnostic tools.

What this means for you:
The immune-inflammation index may help identify thyroid cancer and its spread to lymph nodes, but results are preliminary.

Common questions

What is the Systemic Immune-Inflammation Index (SII)?

The Systemic Immune-Inflammation Index is a marker used to measure immune activity in the body. In this study, it was analyzed to see if it could help diagnose thyroid cancer and determine if the cancer had spread to nearby lymph nodes.

How accurate is this test for diagnosing thyroid cancer?

The study reported a sensitivity of 76.8% and a specificity of 71.2% for using the SII to diagnose thyroid cancer. Because different studies used different methods, these results are currently considered preliminary.

Can this test tell if cancer has spread to lymph nodes?

The study found a significant link between higher SII scores and lymph node metastasis. Patients with cancer that had spread to lymph nodes showed significantly higher scores, which may help doctors identify high-risk cases.

Study Details

Study typeMeta analysis
EvidenceLevel 1
PublishedJun 2026
View Original Abstract ↓
BackgroundThe Systemic Immune-Inflammation Index (SII), a composite biomarker integrating neutrophil, platelet, and lymphocyte counts, has been increasingly investigated in thyroid cancer. However, its diagnostic accuracy and association with lymph node metastasis (LNM) remain uncertain. This study aimed to systematically evaluate the diagnostic performance of SII for thyroid cancer and its association with LNM.MethodsA systematic literature search was conducted across PubMed, Scopus, and Web of Science. A diagnostic meta-analysis using the bivariate Reitsma model was performed to pool sensitivity, specificity, likelihood ratios, and the area under the summary receiver operating characteristic curve (AUC). The association between SII and LNM was assessed by pooling mean differences (MD) using an inverse-variance random-effects model. Heterogeneity was evaluated using I² statistics and Cochran’s Q test. This systematic review was registered in PROSPERO (PROSPERO 2025 CRD420251233710).ResultsTen studies were included. The diagnostic meta-analysis (6 studies; 2,209 participants) yielded a pooled sensitivity of 76.8% (95% CI: 63.8–86.1%), specificity of 71.2% (95% CI: 54.9–83.4%), and AUC of 0.805. The positive and negative likelihood ratios were 2.78 and 0.34, respectively. The LNM meta-analysis (5 studies; 2,073 participants) demonstrated significantly higher SII in patients with LNM (MD = 102.87; 95% CI: 58.86–146.89; p < 0.00001; I² = 56%). Leave-one-out sensitivity analyses confirmed the robustness of both findings. Sensitivity analysis excluding one outlier study yielded consistent results with reduced heterogeneity (MD = 105.72; I² = 32%).ConclusionSII demonstrates moderate diagnostic accuracy for thyroid cancer and is significantly elevated in patients with lymph node metastasis, supporting its potential as an adjunctive biomarker for diagnostic triage and preoperative risk stratification. Given substantial between-study heterogeneity, threshold variability, and partial verification bias affecting specificity, the pooled diagnostic estimates should be interpreted as preliminary and require confirmation in prospective studies with standardized cut-offs and uniform histopathological reference standards. Further large-scale prospective studies are warranted.Systematic review registrationhttps://www.crd.york.ac.uk/prospero/, identifier CRD420251233710.
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