{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,10]],"date-time":"2026-04-10T21:31:18Z","timestamp":1775856678950,"version":"3.50.1"},"reference-count":29,"publisher":"Wiley","issue":"2","license":[{"start":{"date-parts":[[2022,6,26]],"date-time":"2022-06-26T00:00:00Z","timestamp":1656201600000},"content-version":"vor","delay-in-days":0,"URL":"http:\/\/creativecommons.org\/licenses\/by-nc-nd\/4.0\/"}],"content-domain":{"domain":["onlinelibrary.wiley.com"],"crossmark-restriction":true},"short-container-title":["Asia-Pac J Clncl Oncology"],"published-print":{"date-parts":[[2023,4]]},"abstract":"<jats:title>Abstract<\/jats:title><jats:sec><jats:title>Aim<\/jats:title><jats:p>To investigate systemic immune\u2010inflammation index (SII) as prognostic factors and establish a nomogram based on SII for the prediction of survival in diffuse large B\u2010cell lymphoma (DLBCL).<\/jats:p><\/jats:sec><jats:sec><jats:title>Methods<\/jats:title><jats:p>One hundred and fifty\u2010five DLBCL patients were randomized into primary (<jats:italic>N<\/jats:italic>\u00a0=\u00a0100) and validation (<jats:italic>N<\/jats:italic>\u00a0=\u00a055) cohorts. Kaplan\u2013Meier survival curves and Cox regression models were used to evaluate the impact of SII on survival. The nomogram based on SII was analyzed by using R software.<\/jats:p><\/jats:sec><jats:sec><jats:title>Results<\/jats:title><jats:p>Univariate and multivariate analyses revealed that high SII (&gt;1684.), C\u2010reactive protein\u2010to\u2010albumin ratio (CAR\u00a0&gt;\u00a00.21), and age\u2010adjusted International Prognostic Index (aaIPI) score were independent predictors of overall survival (OS). High SII and aaIPI were independent predictors of progression\u2010free survival. The nomogram had better accuracy and discrimination than the International Prognostic Index, National Comprehensive Cancer Network\u2010International Prognostic Index, and aaIPI systems. The concordance index values of the nomogram for OS were 0.885 in the primary cohort and 0.821 in the validation cohort.<\/jats:p><\/jats:sec><jats:sec><jats:title>Conclusions<\/jats:title><jats:p>Our results suggested that SII, CAR, and aaIPI could be used to judge the prognosis of DLBCL patients. The nomogram was a reliable model for predicting the OS of DLBCL patients.<\/jats:p><\/jats:sec>","DOI":"10.1111\/ajco.13806","type":"journal-article","created":{"date-parts":[[2022,6,27]],"date-time":"2022-06-27T05:40:56Z","timestamp":1656308456000},"update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":13,"title":["Nomogram based on the systemic immune\u2010inflammation index for predicting the prognosis of diffuse large B\u2010cell lymphoma"],"prefix":"10.1111","volume":"19","author":[{"given":"Jing","family":"Wu","sequence":"first","affiliation":[{"name":"Department of Oncology Guizhou Provincial People's Hospital Guizhou Cancer Center  Guiyang China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Haizhen","family":"Zhu","sequence":"additional","affiliation":[{"name":"Department of Oncology Guizhou Provincial People's Hospital Guizhou Cancer Center  Guiyang 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