Prognostic and clinicopathological role of pretreatment systemic inflammation response index (SIRI) in gastric cancer: a systematic review and meta-analysis DOI Creative Commons
Qian Wu, Hui Zhao

World Journal of Surgical Oncology, Journal Year: 2024, Volume and Issue: 22(1)

Published: Dec. 20, 2024

The systemic inflammatory response index (SIRI) is calculated via the following formula: SIRI = monocyte count × neutrophil count/lymphocyte count. value of in predicting prognosis gastric cancer (GC) remains controversial. This study revealed precise effect GC through a meta-analysis. ability to predict was evaluated by calculating combined hazard ratios (HRs) and 95% confidence intervals (CIs). Furthermore, odds (ORs) CIs were determined analyze associations between clinicopathological characteristics patients with GC. Seven publications on total 1763 cases included this study. threshold 0.58 1.35, median 0.85. Our pooled findings that higher significantly linked poor overall survival (OS) (HR 1.87, CI 1.59–2.20, p < 0.001) disease-free (DFS; HR 1.88, 1.50–2.36, patients. However, did not exhibit significant association sex (OR 1.98, 0.82–4.75, 0.126), surgery type 0.96, 0.61–1.51, 0.847), tumor differentiation 0.75, 0.54–1.06, 0.099), or TNM stage 1.25, 0.34–4.62, 0.743) An elevated associated unfavorable OS DFS Thus, reliable biomarker for clinical practice.

Language: Английский

Evaluation of Inflammatory Markers as Prognostic Factors in the Treatment of Hepatocellular Carcinoma (HCC) with Degradable Starch Microspheres by Transarterial Chemoembolization (DSM-TACE) DOI Open Access
Hannah L. Steinberg-Vorhoff,

Andriana Tropotel,

Jens Theysohn

et al.

Cancers, Journal Year: 2025, Volume and Issue: 17(4), P. 647 - 647

Published: Feb. 14, 2025

Objective: To evaluate the prognostic value of pre-therapeutic inflammatory markers before transarterial chemoembolization with degradable starch microspheres (DSM-TACE) in treatment hepatocellular carcinoma (HCC). Methods: A total 155 patients (81% male, median age: 68 years) who underwent first-time DSM-TACE between 07/13 and 06/22 were included study. Inflammatory indices dichotomized using values. Cox proportional hazard model for univariate (UVA) multivariate (MVA) analyses (hazard ratio; 95% CI, p-value) Kaplan-Meier (overall survival (OS) months; CI; log-rank test) performed. Results: The OS study cohort was 15.9 (12.9-20) months a according to BCLC stages (12%), B (41%), C (47%) not reached, 19.3 (15.3-27), 7.2 (4.5-9.0) months, respectively (p < 0.0001). In UVA, several on statistically significant systemic response index (SIRI; ≤median (2.04) HR: 0.41 (0.19-0.89); p = 0.024) lymphocyte monocyte ratio (LMR; >median (1.82) 0.44 (0.2-0.9); 0.025) remaining MVA together stage 0.0001), ALBI grade 0.016), hepatic tumor burden (≤25% vs. >25%; 0.006), largest HCC lesion (≤5.5 cm >5.5 cm; 0.008). subgroup analysis, elevated LMR reduced SIRI exhibited significantly prolonged overall both 0.0001) Child-Pugh 0.021) subgroups. Conclusion: findings suggest that may serve as valuable tools identifying could potentially benefit better from treatment. Nevertheless, further research is recommended confirm these provide more comprehensive insights.

Language: Английский

Citations

1

Association between systemic inflammatory response index and glaucoma incidence from 2005 to 2008 DOI Creative Commons
Xiang Li, Yi Sun, Xinliang Zhong

et al.

Frontiers in Medicine, Journal Year: 2025, Volume and Issue: 12

Published: Feb. 4, 2025

Objective This study aimed to investigate the association between Systemic Inflammatory Response Index (SIRI) and glaucoma using data from 2005–2008 National Health Nutrition Examination Survey (NHANES). Methods We performed a cross-sectional analysis NHANES (2005–2008). Among participants who underwent non-mydriatic retinal imaging Frequency Doubling Technology (FDT) visual field testing, 4,514 were included after excluding those with missing key variable data. SIRI other inflammatory indices, including systemic immune-inflammation index (SII), platelet-to-lymphocyte ratio (PLR), neutrophil-to-lymphocyte (NLR), calculated blood samples. Logistic regression models employed assess relationship these indices glaucoma, adjusting for demographic health-related variables. Results A significant positive was found elevated log 2 levels prevalence of (Model 3: OR 1.24, 95% CI 1.07–1.44, p &lt; 0.005). an in-depth Log quartiles Q4 occurrence OR1.62, 95%CI 1.12–2.34, = 0.011). correlation further validated area under receiver operator characteristic curve (AUC) in Model 3(AUC 0.674). Conclusion Elevated are significantly associated highlighting potential role inflammation pathogenesis. may serve as useful biomarker identifying individuals at risk facilitating early detection targeted intervention strategies. Further research is needed validate findings explore their clinical applications.

Language: Английский

Citations

0

Preoperative SII Can Predict Postoperative Recurrence and Serious Complications in Patients with Hepatolithiasis DOI Creative Commons
Tianyang Mao, Xin Zhao,

Kangyi Jiang

et al.

Journal of Inflammation Research, Journal Year: 2025, Volume and Issue: Volume 18, P. 3321 - 3331

Published: March 1, 2025

Purpose: The occurrence and progression of hepatolithiasis are related to inflammatory reactions immune proteins. This study aims evaluate the relationship between systemic index (SII) in recurrence-free survival (RFS), as well incidence severe postoperative complications patients. Patients Methods: We retrospectively analyzed 177 patients with hepatolithiasis. optimal cut-off values SII, response (SIRI), neutrophil/lymphocyte ratio (NLR), monocyte/lymphocyte (MLR), platelet/lymphocyte (PLR) prognostic nutritional (PNI) were evaluated by analysis receiver operating characteristic (ROC) curve. SIRI, NLR clinical results was tested χ ²-test. Logical regression is used risk factors serious complications. Kaplan-Meier curve Cox analyses impact on RFS. Results: ROC determines value area under (AUC) NLR, MLR, PLR PNI, then grouped. In multivariate analysis, surgical method (HR=3.331, 95% CI: 1.360– 8.158, p=0.008) SII (HR=2.883, 1.084– 7.668, p=0.034) identified independent for complications; cox demonstrated that a history gallstones (HR=1.965, 1.206– 3.201, p=0.007), (HR=2.818, 1.340– 5.926, p=0.006), MLR (HR=3.240, 1.158– 9.067, p=0.025) RFS; show low levels (p< 0.001), SIRI (p=0.005), 0.001) had significantly higher RFS compared those high-level group. Conclusion: Preoperative high associated recurrence hepatolithiasis, an factor both Keywords: index, survival, complications, predict

Language: Английский

Citations

0

Prognostic and clinicopathological significance of the new grading system for invasive pulmonary adenocarcinoma: A systematic review and meta-analysis DOI
Guo Wen, Huanrong Ruan, Miao Zhou

et al.

Annals of Diagnostic Pathology, Journal Year: 2025, Volume and Issue: 77, P. 152466 - 152466

Published: March 11, 2025

Language: Английский

Citations

0

Systemic immune-inflammation index is associated with clinical outcome of acute ischemic stroke patients after intravenous thrombolysis treatment DOI Creative Commons
Yuanfeng Zhou, Qian Yang,

Zhangming Zhou

et al.

PLoS ONE, Journal Year: 2025, Volume and Issue: 20(3), P. e0319920 - e0319920

Published: March 27, 2025

Introduction The systemic immune-inflammation index (SII) has been proven to predict the outcome in cancerous and non-cancerous diseases. We aimed investigate relationship between SII other inflammatory markers prognosis patients receiving intravenous thrombolysis (IVT). Methods Acute ischemic stroke treated with IVT were collected retrospectively. SII, neutrophil-to-lymphocyte ratio (NLR) platelet-to-lymphocyte (PLR) constructed based on admission blood testing. Favorable was defined as modified Rankin Scale of less than or equal 2 at 90 days. In addition outcome, cerebral edema analyzed. severity brain graded into three levels according Thrombolysis Stroke-Monitoring Study. Malignant (MCE) midline shift. Results 278 included. 140 (50.4%) achieved favorable 35 (12.6%) developed MCE. outcomes, NLR PLR lower compared those unfavorable outcomes [422.33 (258.69-624.68) vs 1269.83 (750.82-2497.22), p < 0.001; 2.73 (1.68-4.40) 4.76 (2.59-7.72), 92.98 (62.35-126.24) 115.64 (85.51-179.04), 0.001]. area under Receiver Operating Characteristic curve 0.698 for (95% CI = 0.637-0.760, 0.001), 0.694 0.632-0.756, 0.643 0.579-0.707, 0.001). optimal cut-off values 652.73 (sensitivity 0.572, specificity 0.786), 3.57 0.659, 0.693), 127.01 0.457, 0.757). Conclusions An early increase related 3 months AIS after IVT. However, it is not associated malignant edema.

Language: Английский

Citations

0

Prognostic role of systemic inflammation response index (SIRI) in patients with pancreatic cancer: a meta-analysis DOI Creative Commons

Huifen Shen,

Fei Zuo

Frontiers in Oncology, Journal Year: 2024, Volume and Issue: 14

Published: Dec. 11, 2024

Background The significance of the systemic inflammation response index (SIRI) in predicting prognosis patients with pancreatic cancer (PC) has been extensively explored; however, findings remain controversial. As such, this meta-analysis was performed to more precisely determine utility SIRI PC prognosis. Methods A comprehensive literature search PubMed, Web Science, Embase, and Cochrane Library databases for relevant studies, published up June 25, 2024, performed. primary secondary endpoints were overall survival (OS) progression-free (PFS), respectively. prognostic estimated by calculating pooled hazard ratios (HRs) corresponding 95% confidence intervals (CIs). Results Seven studies comprising 1160 included present meta-analysis. Pooled revealed that elevated as a prominent marker OS (HR 2.40 [95% CI 1.88–3.05]; p&lt;0.001) PFS 1.95 1.19–3.21]; p=0.008) diagnosed PC. According subgroup analysis, remained an outstanding OS, irrespective region, sample size, study center, design, TNM stage, type, cut-off value, treatment, or analysis type (all p&lt;0.05). Moreover, based on demonstrated significant PFS, region threshold value (p&lt;0.05). Conclusion increased significantly predicted Considering its cost-effectiveness availability, may be promising biomarker

Language: Английский

Citations

3

Association between the systemic inflammation response index and kidney stones in US adults: a cross-sectional study based on NHANES 2007–2018 DOI
Zhenglin Zhang,

Ganlin Wang,

xin dai

et al.

Urolithiasis, Journal Year: 2024, Volume and Issue: 52(1)

Published: Nov. 21, 2024

Language: Английский

Citations

1

Prognostic and clinicopathological role of pretreatment systemic inflammation response index (SIRI) in gastric cancer: a systematic review and meta-analysis DOI Creative Commons
Qian Wu, Hui Zhao

World Journal of Surgical Oncology, Journal Year: 2024, Volume and Issue: 22(1)

Published: Dec. 20, 2024

The systemic inflammatory response index (SIRI) is calculated via the following formula: SIRI = monocyte count × neutrophil count/lymphocyte count. value of in predicting prognosis gastric cancer (GC) remains controversial. This study revealed precise effect GC through a meta-analysis. ability to predict was evaluated by calculating combined hazard ratios (HRs) and 95% confidence intervals (CIs). Furthermore, odds (ORs) CIs were determined analyze associations between clinicopathological characteristics patients with GC. Seven publications on total 1763 cases included this study. threshold 0.58 1.35, median 0.85. Our pooled findings that higher significantly linked poor overall survival (OS) (HR 1.87, CI 1.59–2.20, p < 0.001) disease-free (DFS; HR 1.88, 1.50–2.36, patients. However, did not exhibit significant association sex (OR 1.98, 0.82–4.75, 0.126), surgery type 0.96, 0.61–1.51, 0.847), tumor differentiation 0.75, 0.54–1.06, 0.099), or TNM stage 1.25, 0.34–4.62, 0.743) An elevated associated unfavorable OS DFS Thus, reliable biomarker for clinical practice.

Language: Английский

Citations

0