Prognostic Models in Advanced Gastric Cancer Management
Summary
Advanced gastric cancer remains a major cause of cancer mortality worldwide, with considerable variability in patient outcomes despite standard staging and treatment protocols. Traditional systems such as the TNM classification provide a structural framework but lack granularity in predicting individual survival or treatment response. In recent years, prognostic models have evolved from simple clinicopathological scoring systems towards multifactorial nomograms and risk‐stratification tools that integrate tumour characteristics, host factors and systemic biomarkers. Key components include measures of systemic inflammation, nutritional status, tumour markers and performance status, often combined using multivariate regression or machine‐learning algorithms. These models permit classification of patients into distinct risk groups, guiding decisions on chemotherapy intensity, palliative interventions and clinical trial enrolment. Global efforts have focused on model validation across diverse populations, calibration of predictive accuracy and translation into user‐friendly platforms for bedside application. Ongoing research aims to incorporate molecular profiling, circulating tumour DNA and radiomic features to refine prognostic precision further and support personalised management strategies.
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Prognostic Models in Advanced Gastric Cancer Management publication trend
The graph below shows the total number of articles in prognostic models in advanced gastric cancer management across all publications each year (not limited to Nature Index journals).
Technical terms
Nomogram: A graphical representation of a statistical model that predicts individual outcomes by assigning points to prognostic variables.
Concordance index: A metric ranging from 0.5 to 1.0 that quantifies the predictive accuracy of a prognostic model, with higher values indicating better discrimination.
Neutrophil–Lymphocyte Ratio (NLR): The ratio of circulating neutrophils to lymphocytes, used as an indicator of systemic inflammation and prognostic risk.
Modified Glasgow Prognostic Score (mGPS): A composite score based on C-reactive protein and albumin levels, reflecting systemic inflammatory response and nutritional status.
Patient-Generated Subjective Global Assessment (PG-SGA): A tool that evaluates nutritional status through patient‐reported symptoms, weight change and physical assessment.
ECOG Performance Status: A scale from 0 (fully active) to 5 (dead) that assesses a patient’s ability to carry out daily activities and predicts treatment tolerance.
References
- A Prognostic Model Using Inflammation- and Nutrition-Based Scores in Patients With Metastatic Gastric Adenocarcinoma Treated With Chemotherapy. Medicine (2016).
- Development and validation of a prognostic scoring model for mortality risk stratification in patients with recurrent or metastatic gastric carcinoma. BMC Cancer (2021).
- Blood-based Markers in the Prognostic Prediction of Esophagogastric Junction Cancer. Journal of Cancer (2020).
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