ArticleDiagnostic and interventional radiology (Ankara, Turkey)2024
Association of body composition and systemic inflammation for patients with locally advanced cervical cancer following concurrent chemoradiotherapy
Article in Diagnostic and interventional radiology (Ankara, Turkey), 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers, 1 of them a synthesis that pooled it.
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Who cites it
5 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Prognostic significance of pretreatment systemic immune-inflammation index (SII) in patients with cervical cancer: a meta-analysis.World journal of surgical oncology · 2025Pooled it
- Systemic immune-inflammatory index for the prediction of the survival in patients with cervical cancer: A meta-analysis.iScience · 2026Article
- Baseline inflammatory and metabolic indicators associated with early PD-1 inhibitor resistance in advanced cervical cancer: a retrospective cohort study.Frontiers in medicine · 2026Article
- Prognostic significance of systemic immune inflammation index and systemic inflammation response index for cervical cancer: A systematic review and meta-analysis.Pakistan journal of medical sciences · 2025Article
- Obesity and Pro-Inflammatory Cytokines: Gene Expression Patterns Within Cervical Cancer Progression.In vivo (Athens, Greece)Article
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5 authors.
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Abstract
purposeSystemic inflammation and body composition are associated with survival outcomes of cancer patients. This study aimed to examine the combined prognostic value of systemic inflammatory markers and body composition parameters in patients with locally advanced cervical cancer (LACC).
methodsPatients who underwent concurrent chemoradiotherapy (CCRT) for LACC at a tertiary referral teaching hospital between January 2010 and January 2018 were enrolled. A predictive model was established based on systemic immune-inflammation index (SII) and computer tomography-derived visceral fat-to-muscle ratio (vFMR). Overall survival (OS) and progression-free survival (PFS) were assessed using the Kaplan-Meier method and Cox regression models. The model performance was assessed using discrimination, calibration, and clinical usefulness.
resultsIn total, 212 patients were enrolled. The SII and vFMR were closely related, and both independently predicted survival (
conclusionSystemic inflammatory markers combined with body composition parameters could independently predict the prognosis of patients with LACC, highlighting the utilization of commonly collected indicators in decision-making processes. CLINICAL SIGNIFICANCE: The SII and vFMR, as well as their composite indices, were promising prognostic factors in patients with LACC who received definitive CCRT. Future studies are needed to explore novel therapies to improve the outcomes in high-risk patients.
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