ArticleJournal of oncology2020
A Novel Nomogram including AJCC Stages Could Better Predict Survival for NSCLC Patients Who Underwent Surgery: A Large Population-Based Study.
Article in Journal of oncology, 2020. 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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Who cites it
9 citing papers in PubMed.
- Development and internal validation of a clinicopathological and CT radiomics based prediction model for extracranial distant metastasis after radical resection in early-stage non-small cell lung cancer.Journal of thoracic disease · 2026Article
- Defining the surgical curative time window: identifying patients with an absence of recurrence for 5 years following surgical resection of stage I invasive non-small cell lung cancer.Translational lung cancer research · 2025Article
- Article
- Correlation between gene mutation status and clinicopathologic features in early multiple primary lung cancer.Frontiers in oncology · 2023Article
- Clinical features and prognostic factors of esophageal signet ring cell carcinoma: construction and validation of a model based on the SEER database.Translational cancer research · 2022Article
- Construction and validation of a nomogram model to predict the overall survival rate of esophageal cancer patients receiving neoadjuvant chemotherapy: A population-based study.Frontiers in surgery · 2022Article
- Development and validation of a nomogram for predicting survival in patients with surgically resected lung invasive mucinous adenocarcinoma.Translational lung cancer research · 2021Article
- β-Caryophyllene from Chilli Pepper Inhibits the Proliferation of Non-Small Cell Lung Cancer Cells by Affecting miR-659-3p-Targeted Sphingosine Kinase 1 (SphK1).International journal of general medicine · 2021Article
- Construction and Validation of a Convenient Clinical Nomogram to Predict the Risk of Brain Metastasis in Renal Cell Carcinoma Patients.BioMed research international · 2020Article
Corrections and comments
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Authors and funding
7 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
objectiveIn this study, we aimed to establish a novel nomogram model which was better than the current American Joint Committee on Cancer (AJCC) stage to predict survival for non-small-cell lung cancer (NSCLC) patients who underwent surgery.
resultsUnivariate and multivariate analyses demonstrated that seven factors including age, sex, stage, histology, surgery, and positive lymph nodes (all,
conclusionThe results proved that the nomogram model had better performance to predict survival for NSCLC patients who underwent surgery than AJCC stage. These tools may be helpful for clinicians to evaluate prognostic indicators of patients undergoing operation.
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