Cargando…

Prognostic value of the systemic inflammation response index in human malignancy: A meta-analysis

BACKGROUND: This meta-analysis aimed to evaluate the prognostic value of the systemic inflammation response index (SIRI) in malignancy based on existing evidence. METHODS: We searched for relevant literature published in the electronic databases PubMed, Web of Science, Cochrane Library, and Embase b...

Descripción completa

Detalles Bibliográficos
Autores principales: Wei, Lishuang, Xie, Hailun, Yan, Ping
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Lippincott Williams & Wilkins 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7738007/
https://www.ncbi.nlm.nih.gov/pubmed/33327280
http://dx.doi.org/10.1097/MD.0000000000023486
_version_ 1783623038793678848
author Wei, Lishuang
Xie, Hailun
Yan, Ping
author_facet Wei, Lishuang
Xie, Hailun
Yan, Ping
author_sort Wei, Lishuang
collection PubMed
description BACKGROUND: This meta-analysis aimed to evaluate the prognostic value of the systemic inflammation response index (SIRI) in malignancy based on existing evidence. METHODS: We searched for relevant literature published in the electronic databases PubMed, Web of Science, Cochrane Library, and Embase before April 10, 2020. Hazard ratios (HR) and corresponding 95% confidence intervals (CI) were calculated and pooled to evaluate the relationship between SIRI and malignancy outcomes. RESULTS: We included 14 articles, describing 6,035 patients. Our findings revealed that patients with high SIRI had worse overall survival (OS) (HR = 2.20, 95% CI: 1.85–2.62, P < .001), disease-free survival (DFS) (HR: 1.92, 95% CI: 1.49–2.48, P < .001), time-to-progression (TTP) (HR: 2.00, 95% CI: 1.55–2.58, P < .001), progression-free survival (PFS) (HR: 1.73, 95% CI: 1.38–2.16, P < .001), cancer-specific survival (CSS) (HR: 3.57, 95% CI: 2.25–5.68, P < 0.001), disease-specific survival (DSS) (HR: 1.99, 95% CI: 1.46 - 2.72, P < .001), and metastasis-free survival (MFS) (HR: 2.26, 95% CI: 1.28–3.99, P = .005) than patients with low SIRI. The correlation between SIRI and OS did not change in a subgroup analysis. Meta-regression indicated that heterogeneity may be related to differences in primary therapy strategies. Sensitivity analysis suggested that our results were reliable. CONCLUSIONS: SIRI could be used as a useful predictor of poor prognosis during malignancy treatment.
format Online
Article
Text
id pubmed-7738007
institution National Center for Biotechnology Information
language English
publishDate 2020
publisher Lippincott Williams & Wilkins
record_format MEDLINE/PubMed
spelling pubmed-77380072020-12-16 Prognostic value of the systemic inflammation response index in human malignancy: A meta-analysis Wei, Lishuang Xie, Hailun Yan, Ping Medicine (Baltimore) 5700 BACKGROUND: This meta-analysis aimed to evaluate the prognostic value of the systemic inflammation response index (SIRI) in malignancy based on existing evidence. METHODS: We searched for relevant literature published in the electronic databases PubMed, Web of Science, Cochrane Library, and Embase before April 10, 2020. Hazard ratios (HR) and corresponding 95% confidence intervals (CI) were calculated and pooled to evaluate the relationship between SIRI and malignancy outcomes. RESULTS: We included 14 articles, describing 6,035 patients. Our findings revealed that patients with high SIRI had worse overall survival (OS) (HR = 2.20, 95% CI: 1.85–2.62, P < .001), disease-free survival (DFS) (HR: 1.92, 95% CI: 1.49–2.48, P < .001), time-to-progression (TTP) (HR: 2.00, 95% CI: 1.55–2.58, P < .001), progression-free survival (PFS) (HR: 1.73, 95% CI: 1.38–2.16, P < .001), cancer-specific survival (CSS) (HR: 3.57, 95% CI: 2.25–5.68, P < 0.001), disease-specific survival (DSS) (HR: 1.99, 95% CI: 1.46 - 2.72, P < .001), and metastasis-free survival (MFS) (HR: 2.26, 95% CI: 1.28–3.99, P = .005) than patients with low SIRI. The correlation between SIRI and OS did not change in a subgroup analysis. Meta-regression indicated that heterogeneity may be related to differences in primary therapy strategies. Sensitivity analysis suggested that our results were reliable. CONCLUSIONS: SIRI could be used as a useful predictor of poor prognosis during malignancy treatment. Lippincott Williams & Wilkins 2020-12-11 /pmc/articles/PMC7738007/ /pubmed/33327280 http://dx.doi.org/10.1097/MD.0000000000023486 Text en Copyright © 2020 the Author(s). Published by Wolters Kluwer Health, Inc. http://creativecommons.org/licenses/by-nc/4.0 This is an open access article distributed under the terms of the Creative Commons Attribution-Non Commercial License 4.0 (CCBY-NC), where it is permissible to download, share, remix, transform, and buildup the work provided it is properly cited. The work cannot be used commercially without permission from the journal. http://creativecommons.org/licenses/by-nc/4.0
spellingShingle 5700
Wei, Lishuang
Xie, Hailun
Yan, Ping
Prognostic value of the systemic inflammation response index in human malignancy: A meta-analysis
title Prognostic value of the systemic inflammation response index in human malignancy: A meta-analysis
title_full Prognostic value of the systemic inflammation response index in human malignancy: A meta-analysis
title_fullStr Prognostic value of the systemic inflammation response index in human malignancy: A meta-analysis
title_full_unstemmed Prognostic value of the systemic inflammation response index in human malignancy: A meta-analysis
title_short Prognostic value of the systemic inflammation response index in human malignancy: A meta-analysis
title_sort prognostic value of the systemic inflammation response index in human malignancy: a meta-analysis
topic 5700
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7738007/
https://www.ncbi.nlm.nih.gov/pubmed/33327280
http://dx.doi.org/10.1097/MD.0000000000023486
work_keys_str_mv AT weilishuang prognosticvalueofthesystemicinflammationresponseindexinhumanmalignancyametaanalysis
AT xiehailun prognosticvalueofthesystemicinflammationresponseindexinhumanmalignancyametaanalysis
AT yanping prognosticvalueofthesystemicinflammationresponseindexinhumanmalignancyametaanalysis