2023
DOI: 10.1016/j.urolonc.2022.11.011
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The systemic inflammation response index: An independent predictive factor for survival outcomes of bladder cancer stronger than other inflammatory markers

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Cited by 7 publications
(5 citation statements)
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“…The systemic inflammatory response has been shown to promote cancer progression and contribute to different stages of tumor development, including initiation, invasion, angiogenesis, and metastasis (42). In recent years, the association between the SII and the prognosis of various cancer types has been extensively investigated, demonstrating its potential as a prognostic indicator, particularly for predicting survival outcomes in patients with malignant tumors (16,17,(19)(20)(21)(22)(23)(24)(25)27). SII has been identified as a valuable prognostic indicator for numerous solid tumors, including hepatocellular carcinoma, pancreatic cancer, gallbladder cancer, bile duct cancer, gastric cancer, laryngeal cancer, endometrial cancer, non-small cell lung cancer, and bladder cancer, among others.…”
Section: Discussionmentioning
confidence: 99%
See 1 more Smart Citation
“…The systemic inflammatory response has been shown to promote cancer progression and contribute to different stages of tumor development, including initiation, invasion, angiogenesis, and metastasis (42). In recent years, the association between the SII and the prognosis of various cancer types has been extensively investigated, demonstrating its potential as a prognostic indicator, particularly for predicting survival outcomes in patients with malignant tumors (16,17,(19)(20)(21)(22)(23)(24)(25)27). SII has been identified as a valuable prognostic indicator for numerous solid tumors, including hepatocellular carcinoma, pancreatic cancer, gallbladder cancer, bile duct cancer, gastric cancer, laryngeal cancer, endometrial cancer, non-small cell lung cancer, and bladder cancer, among others.…”
Section: Discussionmentioning
confidence: 99%
“…Initial reports have shown that SII can predict the prognosis of patients with hepatocellular carcinoma after radical resection, and it has been identified as a powerful prognostic indicator for poor prognosis in hepatocellular carcinoma patients (15,16). Subsequent studies have confirmed its effectiveness in predicting the prognosis of various cancer patients, including hepatocellular carcinoma (16), pancreatic cancer (17), gallbladder cancer (18), cholangiocarcinoma (19), gastric cancer (20), laryngeal cancer (21), endometrial cancer (22), non-small cell lung cancer (23), and bladder cancer (24). In recent years, the prognostic value of SII in urological system cancers has been investigated and confirmed by many researchers, although the conclusions are not entirely consistent (25)(26)(27)(28).…”
Section: Introductionmentioning
confidence: 97%
“…The systemic inflammation response index (SIRI) is a novel hematologic parameter that was first proposed in 2016 ( 12 ) and is determined using the following formula: SIRI = (neutrophil × monocyte)/lymphocyte count. SIRI has been widely suggested to exhibit a significant and powerful value in predicting solid tumors such as bladder cancer ( 13 ), non-small cell lung cancer (NSCLC) ( 14 ), gastric cancer ( 15 ), breast cancer ( 16 ), and ovarian cancer ( 17 ). The impact of the SIRI on predicting HCC prognosis has also been explored; however, no consistent findings have been found ( 18 27 ).…”
Section: Introductionmentioning
confidence: 99%
“…Indices such as the neutrophil to lymphocyte ratio (NLR), systemic inflammation response index (SIRI), and the systemic immune inflammation index (SIII) have all been independently associated with in-hospital mortality in critically ill patients with cerebral infarction (8)(9)(10). However, including these highly correlated composite hematological indices in survival analysis models simultaneously can lead to common issues like multicollinearity, complicating their interpretation and potentially weakening the model's overall predictive accuracy (11)(12)(13). To overcome this issue, our study implemented a novel, data-driven approach.…”
Section: Introductionmentioning
confidence: 99%