Evidence map›Paper›PMID 41663973›Full record

ArticleBMC cancer2026

Prognostic value of systemic immune-inflammation index and prognostic nutritional index in advanced prostate cancer: development and validation of a comprehensive nomogram.

Gao Li, Boxiao Li, Xin Zhang, Jianghua Jia

Abstract read
In one paragraph

Article in BMC cancer, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

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4 · The record

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5 · Who and what money

Authors and funding

4 authors.

Gao Li *Department of Urology, Beijing Chao-Yang Hospital Affiliated to Capital Medical University, No. 5 JingYuan Road, ShiJingShan District, Beijing, 100043, China.
Boxiao Li *Department of Urology, Beijing Chao-Yang Hospital Affiliated to Capital Medical University, No. 5 JingYuan Road, ShiJingShan District, Beijing, 100043, China.
Xin Zhang *Department of Urology, Beijing Chao-Yang Hospital Affiliated to Capital Medical University, No. 5 JingYuan Road, ShiJingShan District, Beijing, 100043, China. 18201636330@163.com.
Jianghua Jia *Department of Urology, Beijing Chao-Yang Hospital Affiliated to Capital Medical University, No. 5 JingYuan Road, ShiJingShan District, Beijing, 100043, China. jiajianghuihao@163.com.

Funding

Beijing Nova Program 20240484538
6 · The paper itself

Abstract

backgroundThe systemic immune-inflammation index (SII) and prognostic nutritional index (PNI) have emerged as potential prognostic markers in various malignancies, but their combined and interactive value in advanced prostate cancer (PCa) remains underexplored.

methodsThis retrospective cohort study included 115 patients with advanced PCa (American Joint Committee on Cancer(AJCC) stage III–IV) diagnosed between January 2016 and December 2020. SII and PNI were calculated from pretreatment blood samples. Restricted cubic spline (RCS) analysis was used to explore nonlinear relationships. Cox regression identified independent prognostic factors. A nomogram incorporating AJCC stage, SII, and PNI was developed to predict 1-, 3-, and 5-year overall survival (OS). The model was internally validated via bootstrapping, with calibration and decision curve analysis (DCA) assessing accuracy and clinical utility.

resultsWith a median follow-up of 54 months, SII and PNI predicted OS with AUCs of 0.712 and 0.803, respectively. RCS analysis revealed nonlinear, J-shaped (SII) and reverse S-shaped (PNI) relationships with OS and progression-free survival (PFS) risks (P < 0.001). Multivariate Cox analysis confirmed AJCC stage IV (HR = 2.18, 95% CI: 1.02–4.65), SII ≥ 671.70 (HR = 2.43, 95% CI: 1.42–4.15), and PNI < 46.35 (HR = 3.85, 95% CI: 2.25–6.59) as independent risk factors. A significant synergistic interaction was observed (interaction HR = 1.85, 95% CI: 1.11–3.08, P = 0.018). The nomogram achieved a C-index of 0.861 and an AUC of 0.874 for 3-year OS prediction, outperforming individual markers (P < 0.05). Calibration plots showed excellent agreement, and DCA demonstrated positive net clinical benefit across a wide threshold probability range.

conclusionPretreatment SII and PNI are synergistic and independent prognostic markers for advanced PCa, exhibiting nonlinear relationships with survival outcomes. The developed nomogram provides accurate, individualized survival probability estimation with favorable clinical utility, serving as a practical tool for risk stratification and personalized treatment planning.

Indexed as

InflammationNomogramsNutrition AssessmentProstatic NeoplasmsAgedHumansMaleMiddle AgedNeoplasm StagingPrognosisRetrospective StudiesDecision curve analysisNomogramPrognostic nutritional indexProstate cancerRestricted cubic splineSystemic immune-inflammation index

Identifiers

PMID41663973
PMCPMC12998006

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.