ArticleOncotarget2017
Development of comprehensive nomograms for evaluating overall and cancer-specific survival of laryngeal squamous cell carcinoma patients treated with neck dissection.
Article in Oncotarget, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.
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Who cites it
14 citing papers in PubMed, 19 citations in OpenAlex.
- Laryngeal Cancer in the Modern Era: Evolving Trends in Diagnosis, Treatment, and Survival Outcomes.Journal of clinical medicine · 2025Review
- Predicting survival of advanced laryngeal squamous cell carcinoma: comparison of machine learning models and Cox regression models.Scientific reports · 2023Article
- Nomograms to predict individual prognosis of patients with primary signet ring cell carcinoma of the urinary bladder.Translational cancer research · 2021Article
- Investigation of the affective factors on the survival rate of patients with laryngeal cancer using Cox proportional hazards and Lin -Ying's additive hazards models.Medical journal of the Islamic Republic of Iran · 2021Article
- Development and validation of nomogram to predict risk of survival in patients with laryngeal squamous cell carcinoma.Bioscience reports · 2020Observational
- Lymph node density as a predictive factor for worse outcomes in laryngeal cancer.European archives of oto-rhino-laryngology : official journal of the European Federation of Oto-Rhino-Laryngological Societies (EUFOS) : affiliated with the German Society for Oto-Rhino-Laryngology - Head and Neck Surgery · 2020Article
- Nomograms to predict individual prognosis of patients with squamous cell carcinoma of the urinary bladder.BMC cancer · 2019Article
- Article
- Prognostic Nomogram for the Overall Survival of Patients with Newly Diagnosed Multiple Myeloma.BioMed research international · 2019Article
- Log Odds Could Better Predict Survival in Muscle-Invasive Bladder Cancer Patients Compared with pN and Lymph Node Ratio.Journal of Cancer · 2019Article
- Lymph node ratio as a valuable prognostic factor for patients with colorectal liver-only metastasis undergoing curative resection.Cancer management and research · 2018Article
- Nomograms to Predict Individual Prognosis of Patients with Primary Small Cell Carcinoma of the Bladder.Journal of Cancer · 2018Article
- Article
- Nomograms for predicting the overall and cancer-specific survival of patients with classical Hodgkin lymphoma: a SEER-based study.Oncotarget · 2017Article
Corrections and comments
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Authors and funding
3 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundNeck dissection for laryngeal squamous cell carcinoma (LSCC) patients could provide complementary prognostic information for AJCC N staging, like lymph node ratio (LNR). The aim of this study was to develop effective nomograms to better predict survival for LSCC patients treated with neck dissection.
results2752 patients were identified and randomly divided into training (n = 2477) and validation (n = 275) cohorts. The 3- and 5-year probabilities of cancer-specific mortality (CSM) were 30.1% and 37.2% while 3- and 5-year death resulting from other causes (DROC) rate were 6.2% and 11.3%, respectively. 13 significant prognostic factors including LNR for overall (OS) and 12 (except race) for CSS were enrolled in the nomograms. Concordance index as a commonly used indicator of predictive performance, showed the nomograms had superiority over the no-LNR models and TNM classification (Training-cohort: OS: 0.713 vs 0.703 vs 0.667, CSS: 0.725 vs 0.713 vs 0.688; Validation-cohort: OS: 0.704 vs 0.690 vs 0.658, cancer-specific survival (CSS): 0.709 vs 0.693 vs 0.672). All calibration plots revealed good agreement between nomogram prediction and actual survival. MATERIALS AND
methodsWe identified LSCC patients undergoing neck dissection diagnosed between 1988 and 2008 from Surveillance, Epidemiology, and End Results (SEER) database. Optimal cutoff points were determined by X-tile program. Cumulative incidence function was used to analyze cancer-specific mortality (CSM) and death resulting from other causes (DROC). Significant predictive factors were used to establish nomograms estimating overall (OS) and cancer-specific survival (CSS). The nomograms were bootstrapped validated both internally and externally.
conclusionsComprehensive nomograms were constructed to predict OS and CSS for LSCC patients treated with neck dissection more accurately.
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