ArticleCancer medicine2020
Nomogram prediction of overall survival based on log odds of positive lymph nodes for patients with penile squamous cell carcinoma.
Article in Cancer medicine, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.
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Who cites it
11 citing papers in PubMed, 21 citations in OpenAlex.
- Prognostic nomogram based on the lymph node metastasis indicators for patients with bladder cancer: A SEER population-based study and external validation.Cancer medicine · 2023Trial
- Paired genomic profiling of primary tumor and lymph-node metastases identifies candidate prognostic features in penile squamous cell carcinoma.The oncologist · 2026Article
- Log odds of positive lymph nodes (LODDS)-based novel nomogram for survival estimation in patients with invasive micropapillary carcinoma of the breast.BMC medical research methodology · 2024Article
- Developing and validating a nomogram for penile cancer survival: A comprehensive study based on SEER and Chinese data.Cancer medicine · 2024Article
- Article
- The Development and Validation of a Nomogram Incorporating Clinical, Pathological, and Therapeutic Features to Predict Overall Survival in Patients With Penile Cancer: A SEER-Based Study.Frontiers in oncology · 2022Article
- Developing a Nomogram-Based Scoring Tool to Estimate the Risk of Pulmonary Embolism.International journal of general medicine · 2022Article
- Development and validation of a prognostic nomogram for predicting overall survival in patients with primary bladder sarcoma: a SEER-based retrospective study.BMC urology · 2021Article
- Correlation Between the Evolution of Somatic Alterations During Lymphatic Metastasis and Clinical Outcome in Penile Squamous Cell Carcinoma.Frontiers in oncology · 2021Article
- Impact of Examined Lymph Node Count and Lymph Node Density on Overall Survival of Penile Cancer.Frontiers in oncology · 2021Article
- Nomogram prediction of overall survival based on log odds of positive lymph nodes for patients with penile squamous cell carcinoma.Cancer medicine · 2020Article
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Authors and funding
10 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
purposeThis study aimed to establish a nomogram to predict the long-term overall survival (OS) for patients with penile squamous cell carcinoma (PSCC).
methodThe PSCC patients receiving regional lymph node dissection (RLND) were enrolled from the Surveillance, Epidemiology, and End Results (SEER) database between 2004 and 2015. The dataset of all eligible patients were used to develop the predictive model. The significant independent predictors were identified through Cox regression modeling based on the Bayesian information criterion and then incorporated into a nomogram to predicted 1-, 3-, and 5-year OS. Internal validation was performed using the bootstrap resampling method. The model performance was evaluated using Harrell's concordance index (C-index), calibration plots, integrated discrimination improvement (IDI), net reclassification improvement (NRI), and decision curve analysis (DCA).
resultsTotally, 384 eligible PSCC patients were enrolled from the SEER database. A nomogram for OS prediction was developed, in which three clinical variables significantly associated with OS were integrated, including age, N classification, and log odds of positive lymph nodes (LODDS). The C-index of the nomogram (0.746, 95% CI: 0.702-0.790) was significantly higher than that of the American Joint Committee on Cancer (AJCC) staging system (0.692, 95% CI: 0.646-0.738, P = .020). The bootstrap optimism-corrected C-index for the nomogram was 0.739 (95% CI: 0.690-0.784). The bias-corrected calibration plots showed the predicted risks were in good accordance with the actual risks. The results of NRI, IDI, and DCA exhibited superior predictive capability and higher clinical use of the nomogram compared with the AJCC staging system.
conclusionWe successfully constructed a simple and reliable nomogram for OS prediction among PSCC patients receiving RLND, which would be beneficial to clinical trial design, patient counseling, and therapeutic modality selection.
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