ArticleInternational journal of biological sciences2020
Development and validation of a novel nomogram to predict overall survival in gastric cancer with lymph node metastasis.
Article in International journal of biological sciences, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers, 1 of them a synthesis that pooled it.
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10 citing papers in PubMed, 1 synthesis or guideline pooled it, 12 citations in OpenAlex.
- Efficacy of indocyanine green fluorescence imaging-guided lymphadenectomy in radical gastrectomy for gastric cancer: A systematic review and meta-analysis.Frontiers in oncology · 2022Pooled it
- Development and validation of CT-based fusion model for preoperative prediction of invasion and lymph node metastasis in adenocarcinoma of esophagogastric junction.BMC medical imaging · 2025Article
- Hsa_circ_0006837 suppresses gastric cancer cell proliferation, migration, and invasion via the modulation of miR-424-5p.Hereditas · 2025Article
- Development and external validation of a nomogram for choosing postoperative adjuvant therapies in uterine sarcoma patients using real-world data.Frontiers in oncology · 2025Article
- A web-based prediction model for long-term cancer-specific survival of middle-aged patients with early-stage gastric cancer: a multi-institutional retrospective study.Journal of cancer research and clinical oncology · 2023Article
- miR-21 Targets ASPP2 to Inhibit Apoptosis via CHOP-Mediated Signaling inJournal of oncology · 2023Article
- A novel prognostic model for patients with colon adenocarcinoma.Frontiers in endocrinology · 2023Article
- A novel prognostic model to predict OS and DFS of stage II/III gastric adenocarcinoma patients in China.Heliyon · 2022Article
- Model based on preoperative clinical characteristics to predict lymph node metastasis in patients with gastric cancer.Frontiers in surgery · 2022Article
- Controlling nutritional status score as a prognostic marker to predict overall survival in resected biliary tract cancers.Annals of translational medicine · 2021Article
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9 authors at 3 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Gastric cancer (GC) with lymph node metastasis (LNM) at diagnosis is associated with a unstable prognosis and indefinite survival times. The aim of the present study was to construct and validate a model for the Overall survival (OS) estimation for patients with LNM. The nomogram was constructed to predict the OS for LNM-positive GC using the primary group of 836 patients and validated using an independent cohort of 411 patients. Factors in the nomogram were identified by multivariate Cox hazard analysis. The predictive capability of nomogram was evaluated by calibration analysis and decision curve analysis. Multivariate analysis suggested that eight pre-treatment characteristics were used for developing the nomogram. In the primary cohort, the C-index for OS prediction was 0.788 (95% CI: 0.753-0.823), while in validation cohort, the C-index for OS prediction was 0.769 (95% CI: 0. 720-0.818). The calibration plot for the probability of OS and decision curve analyses showed an optimal agreement. Based on the nomogram, we could divided patients into three groups: low-risk group, middle-risk group and a high-risk group(p <0.001).Taken together, we have provided an easy-to-used and accurate tool for predicting OS, furthermore could be used for risk stratification of OS of LNM-positive GC patients.
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