ArticleInternational journal of clinical oncology2021
The development and external validation of a nomogram predicting overall survival of gastric cancer patients with inadequate lymph nodes based on an international database.
Article in International journal of clinical oncology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.
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Who cites it
2 citing papers in PubMed.
- Machine learning methods predict recurrence of pN3b gastric cancer after radical resection.Translational cancer research · 2024Article
- Prognostic Performance of Three Lymph-Node Staging Systems on Gastric Signet-Ring-Cell Carcinoma.Cancers · 2023Article
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6 authors.
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Abstract
backgroundInadequate sampling of lymph nodes could lead to stage migration and indicate a poor prognosis for gastric cancer after curative surgery. Some emerging novel predictors and the application of a nomogram could increase the accuracy of survival prediction.
methodsAn international database regarding gastric cancer was employed as the primary cohort. The patients with inadequate (< 30) lymph nodes (LN) were analyzed by Cox proportional hazards regression. Based on the selected model, a nomogram was plotted and calibrated against an external validation database.
resultsA total of 1109 patients were included in the primary cohort, and there were 6584 patients in the validation cohort. There were significant differences regarding the clinical characteristics between the two cohorts. The model containing age, T stages, N stages, metastatic lymph nodes (mLN), and the number of total LN retrieved (TLN) showed superiority over the conventional TNM stages. Harrell's concordance index of the nomogram and TNM stages was 0.744 and 0.717, respectively. The external validation demonstrated a good concordance with the nomogram-predicted survival.
conclusionsThe nomogram including age, T stages, N stages, mLN, and TLN had a better accuracy than the conventional TNM staging system in predicting overall survival for gastric cancer patients with inadequate (< 30) LN.
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