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Prognostic role of the pretreatment systemic immune-inflammation index in patients with glioma: A meta-analysis
BACKGROUND: The systemic immune-inflammation index (SII) has been recognized as the indicator that reflects the status of immune responses. The SII is related to the prognostic outcome of many malignancies, whereas its role in gliomas is controversial. For patients with glioma, we, therefore, conduc...
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2023
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Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10030933/ https://www.ncbi.nlm.nih.gov/pubmed/36970508 http://dx.doi.org/10.3389/fneur.2023.1094364 |
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author | Zhang, Sunhuan Ni, Qunqin |
author_facet | Zhang, Sunhuan Ni, Qunqin |
author_sort | Zhang, Sunhuan |
collection | PubMed |
description | BACKGROUND: The systemic immune-inflammation index (SII) has been recognized as the indicator that reflects the status of immune responses. The SII is related to the prognostic outcome of many malignancies, whereas its role in gliomas is controversial. For patients with glioma, we, therefore, conducted a meta-analysis to determine if the SII has a prognostic value. METHODS: Studies relevant to this topic were searched from 16 October 2022 in several databases. In patients with glioma, the relation of the SII level with the patient prognosis was analyzed based on hazard ratios (HRs) as well as corresponding 95% confidence intervals (CIs). Moreover, subgroup analysis was conducted to examine a possible heterogeneity source. RESULTS: There were eight articles involving 1,426 cases enrolled in the present meta-analysis. The increased SII level predicted the dismal overall survival (OS) (HR = 1.81, 95% CI = 1.55–2.12, p < 0.001) of glioma cases. Furthermore, an increased SII level also predicted the prognosis of progression-free survival (PFS) (HR = 1.87, 95% CI = 1.44–2.43, p < 0.001) in gliomas. An increased SII was significantly associated with a Ki-67 index of ≥30% (OR = 1.72, 95% CI = 1.10–2.69, p = 0.017). However, a high SII was not correlated with gender (OR = 1.05, 95% CI = 0.78–1.41, p = 0.734), KPS score (OR = 0.64, 95% CI = 0.17–2.37, p = 0.505), or symptom duration (OR 1.22, 95% CI 0.37–4.06, p = 0.745). CONCLUSION: There was a significant relation between an increased SII level with poor OS and the PFS of glioma cases. Moreover, patients with glioma with a high SII value have a positive relationship with a Ki-67 of ≥30%. |
format | Online Article Text |
id | pubmed-10030933 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
spelling | pubmed-100309332023-03-23 Prognostic role of the pretreatment systemic immune-inflammation index in patients with glioma: A meta-analysis Zhang, Sunhuan Ni, Qunqin Front Neurol Neurology BACKGROUND: The systemic immune-inflammation index (SII) has been recognized as the indicator that reflects the status of immune responses. The SII is related to the prognostic outcome of many malignancies, whereas its role in gliomas is controversial. For patients with glioma, we, therefore, conducted a meta-analysis to determine if the SII has a prognostic value. METHODS: Studies relevant to this topic were searched from 16 October 2022 in several databases. In patients with glioma, the relation of the SII level with the patient prognosis was analyzed based on hazard ratios (HRs) as well as corresponding 95% confidence intervals (CIs). Moreover, subgroup analysis was conducted to examine a possible heterogeneity source. RESULTS: There were eight articles involving 1,426 cases enrolled in the present meta-analysis. The increased SII level predicted the dismal overall survival (OS) (HR = 1.81, 95% CI = 1.55–2.12, p < 0.001) of glioma cases. Furthermore, an increased SII level also predicted the prognosis of progression-free survival (PFS) (HR = 1.87, 95% CI = 1.44–2.43, p < 0.001) in gliomas. An increased SII was significantly associated with a Ki-67 index of ≥30% (OR = 1.72, 95% CI = 1.10–2.69, p = 0.017). However, a high SII was not correlated with gender (OR = 1.05, 95% CI = 0.78–1.41, p = 0.734), KPS score (OR = 0.64, 95% CI = 0.17–2.37, p = 0.505), or symptom duration (OR 1.22, 95% CI 0.37–4.06, p = 0.745). CONCLUSION: There was a significant relation between an increased SII level with poor OS and the PFS of glioma cases. Moreover, patients with glioma with a high SII value have a positive relationship with a Ki-67 of ≥30%. Frontiers Media S.A. 2023-03-08 /pmc/articles/PMC10030933/ /pubmed/36970508 http://dx.doi.org/10.3389/fneur.2023.1094364 Text en Copyright © 2023 Zhang and Ni. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms. |
spellingShingle | Neurology Zhang, Sunhuan Ni, Qunqin Prognostic role of the pretreatment systemic immune-inflammation index in patients with glioma: A meta-analysis |
title | Prognostic role of the pretreatment systemic immune-inflammation index in patients with glioma: A meta-analysis |
title_full | Prognostic role of the pretreatment systemic immune-inflammation index in patients with glioma: A meta-analysis |
title_fullStr | Prognostic role of the pretreatment systemic immune-inflammation index in patients with glioma: A meta-analysis |
title_full_unstemmed | Prognostic role of the pretreatment systemic immune-inflammation index in patients with glioma: A meta-analysis |
title_short | Prognostic role of the pretreatment systemic immune-inflammation index in patients with glioma: A meta-analysis |
title_sort | prognostic role of the pretreatment systemic immune-inflammation index in patients with glioma: a meta-analysis |
topic | Neurology |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10030933/ https://www.ncbi.nlm.nih.gov/pubmed/36970508 http://dx.doi.org/10.3389/fneur.2023.1094364 |
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