ArticleCancer management and research2018
A nomogram to predict prognosis in patients undergoing sublobar resection for stage IA non-small-cell lung cancer.
Article in Cancer management and research, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.
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Who cites it
12 citing papers in PubMed.
- A novel nomogram incorporating LASSO and Cox regression analyses for predicting survival in early-stage non-small cell lung cancer patients following sublobectomy.Clinical & translational oncology : official publication of the Federation of Spanish Oncology Societies and of the National Cancer Institute of Mexico · 2026Article
- Nomogram predicting overall survival of stage IIIB non-small-cell lung cancer patients based on the SEER database.The clinical respiratory journal · 2025Article
- Establishment and validation of a long-term prognosis prediction model for patients with non-small cell lung cancer.Journal of thoracic disease · 2023Article
- Article
- A Practical Nomogram for Predicting the Prognosis of Elderly Patients with Gastric Adenocarcinoma After Gastrectomy.International journal of general medicine · 2022Article
- Potential Impact of Cancer Susceptibility Genes on Lung Cancer Metastasis.Journal of oncology · 2022Article
- Lobectomy versus sublobar resection in patients with non-small cell lung cancer: a systematic review.Journal of thoracic disease · 2020Review
- A Novel Nomogram Based on Immune Scores for Predicting Survival in Patients with Early-Stage Non-Small Cell Lung Cancer (NSCLC).Medical science monitor : international medical journal of experimental and clinical research · 2020Article
- A clinical nomogram and heat map for assessing survival in patients with stage I non-small cell lung cancer after complete resection.Therapeutic advances in medical oncology · 2020Article
- A Novel Nomogram including AJCC Stages Could Better Predict Survival for NSCLC Patients Who Underwent Surgery: A Large Population-Based Study.Journal of oncology · 2020Article
- A nomogram for the prediction of overall survival in patients with stage II and III non-small cell lung cancer using a population-based study.Oncology letters · 2019Article
- Systemic inflammation score: a novel risk stratification tool for postoperative outcomes after video-assisted thoracoscopic surgery lobectomy for early-stage non-small-cell lung cancer.Cancer management and research · 2019Article
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Authors and funding
8 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
introductionThis study aimed to develop a practical nomogram to predict prognosis in patients who are undergoing sublobar resection for stage IA non-small-cell lung cancer (NSCLC). Data from Surveillance, Epidemiology, and End Results (SEER) databases were used to construct the nomogram.
methodsData from patients undergoing sublobar resection for stage IA NSCLC diagnosed between 2004 and 2014 were extracted from the SEER database. Factors that may predict the outcome were identified using the Kaplan-Meier method and the Cox proportional-hazards model. A nomogram was constructed to predict the 3- and 5-year overall survival (OS) and lung cancer-specific survival (LCSS) rates of these patients. The predictive accuracy of the nomogram was measured using the concordance index (
resultsA total of 4,866 patients were selected for this study. Using univariate and multivariate analyses, eight independent prognostic factors associated with OS were identified, including sex (
conclusionThis innovative nomogram delivered a relatively accurate individual prognostic prediction for patients undergoing sublobar resection for stage IA NSCLC.
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