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Combining the Fibrinogen/Albumin Ratio and Systemic Inflammation Response Index Predicts Survival in Resectable Gastric Cancer

Junbin Zhang, Yongfeng Ding, Weibin Wang, Yimin Lu, Haiyong Wang, Haohao Wang, Lisong Teng

2020Gastroenterology Research and Practice41 citationsDOIOpen Access PDF

Abstract

Aims . Predicting the prognosis of gastric cancer using tumour-node-metastasis (TNM) staging is difficult as patients with the same TNM stage exhibit different prognoses. Methods . This study investigated the prognostic value of the preoperative fibrinogen/albumin ratio (FAR)-systemic inflammation response index (SIRI) score in resectable gastric cancer (rGC). Results . Clinicopathological features of 231 rGC patients were analysed retrospectively. Patients were divided into three groups: FAR-SIRI score 2 (<mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML" id="M1"><mml:mtext>FAR</mml:mtext><mml:mo>≥</mml:mo><mml:mn>0.071</mml:mn></mml:math> and <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML" id="M2"><mml:mtext>SIRI</mml:mtext><mml:mo>≥</mml:mo><mml:mn>0.84</mml:mn></mml:math>), 1 (<mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML" id="M3"><mml:mtext>FAR</mml:mtext><mml:mo>&lt;</mml:mo><mml:mn>0.071</mml:mn></mml:math> and <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML" id="M4"><mml:mtext>SIRI</mml:mtext><mml:mo>≥</mml:mo><mml:mn>0.84</mml:mn></mml:math>), and 0 (<mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML" id="M5"><mml:mtext>SIRI</mml:mtext><mml:mo>&lt;</mml:mo><mml:mn>0.84</mml:mn></mml:math>). Higher FAR-SIRI scores were associated with larger tumours, poorer differentiation, and advanced TNM stage (<mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML" id="M6"><mml:mi>P</mml:mi><mml:mo>&lt;</mml:mo><mml:mn>0.05</mml:mn></mml:math>). Compared to those with FAR-SIRI scores of 0, patients with scores of 2 had poorer overall survival (OS). The FAR-SIRI score was an independent prognostic factor for OS in rGC. Conclusion . The present data demonstrated that FAR-SIRI scores predicted radical gastric cancer surgical outcomes and may serve as a blood marker for identifying high-risk patients.

Topics & Concepts

MedicineAlgorithmCancerArtificial intelligenceInternal medicineMathematicsComputer scienceInflammatory Biomarkers in Disease PrognosisGastric Cancer Management and OutcomesNutrition and Health in Aging
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