ArticleCancer management and research2022
A Prognostic Nomogram and Heat Map to Predict Survival in Stage II/III Gastric Cancer Patients After Curative Gastrectomy Followed by Adjuvant Chemotherapy.
Article in Cancer management and research, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.
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9 citing papers in PubMed.
- Trial
- Comparative efficacy and safety of S-1 plus oxaliplatin with sintilimab vs. paclitaxel-S-1-oxaliplatin and docetaxel-oxaliplatin-5-fluorouracil as first-line therapy for advanced gastric cancer.Anti-cancer drugs · 2026Article
- SOX plus sintilimabWorld journal of gastrointestinal oncology · 2025Article
- A prognostic nomogram to predict the cancer-specific survival of patients with initially diagnosed metastatic gastric cancer: a validation study in a Chinese cohort.Clinical & translational oncology : official publication of the Federation of Spanish Oncology Societies and of the National Cancer Institute of Mexico · 2025Article
- Prediction of tumor deposits in stage I-III gastric cancer: a clinically applicable nomogram integrating clinicopathology outcomes.Frontiers in medicine · 2025Article
- Comparison of efficacy and safety of nab-paclitaxel and oxaliplatin + S-1 and standard S-1 and oxaliplatin chemotherapy regimens for treatment of gastric cancer.World journal of gastrointestinal surgery · 2024Article
- Prognostic value of blood lipids on patients treated with oxaliplatin combined with S-1 (SOX) after radical gastrectomy and establishment of prognostic nomogram.Journal of cancer research and clinical oncology · 2023Article
- Construction of a nomogram to predict the survival of metastatic gastric cancer patients that received immunotherapy.Frontiers in immunology · 2022Article
- Development and validation of a nomogram for patients with stage II/III gastric adenocarcinoma after radical surgery.Frontiers in surgery · 2022Article
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6 authors.
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Abstract
purposeThis study aimed to study the prognostic value of clinicopathological data, inflammation and nutritional indicators, and to design an effective prognostic nomogram and heat map to predict cancer-specific survival (CSS) and disease-free survival (DFS) of stage II/III GC patients who underwent curative gastrectomy with adjuvant chemotherapy. PATIENTS AND
methodsWe retrospectively analyzed the data of 611 patients with stage II/III GC after curative gastrectomy followed by adjuvant chemotherapy from 3 GC disease centers. Patients were divided into a training cohort (n = 503) and an external validation cohort (n = 108). Nomograms were established based on independent predictors identified by Cox regression analysis in the training cohort. The consistency index (C-index) and the calibration curve were used to evaluate the discriminative ability and accuracy of the nomogram. Heat maps were constructed with the prognostic factors and the corresponding survival probability. We further divided the patients into low-risk and high-risk groups based on the risk score of the nomogram.
resultsThrough univariate and multivariate survival analysis, the independent risk factors common to CSS and DFS were identified. Then these predictors were incorporated into the nomograms, and the established nomograms used to predict CSS and DFS had high discriminative power in the training cohort. Meanwhile, the calibration curves of CSS and DFS probability also showed good agreement between the prediction based on the nomograms and the actual observation results. The above independent predictors were applied to establish heat maps. Compared with low-risk patients, the high-risk patients calculated according to the nomogram had a shorter survival time and a worse prognosis.
conclusionWe established a nomogram and heat map, which could be used to assess the survival rate of stage II/III GC patients who underwent curative gastrectomy with adjuvant chemotherapy. These tools had high prognostic prediction accuracy and provided inspiration for clinical decision-making.
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