ArticleWorld journal of surgery2018
A Nomogram to Predict Prognosis in Malignant Pleural Mesothelioma.
Article in World journal of surgery, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.
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Who cites it
15 citing papers in PubMed.
- Immunotherapy for pleural mesothelioma: from innovation to the frontlines of core clinical questions.Discover oncology · 2025Review
- Risk factors, prognostic factors, and nomograms for distant metastasis in patients with malignant pleural mesothelioma: A population-based retrospective study.The Journal of international medical research · 2025Article
- KEYNOTE-A17: First-Line Pembrolizumab Plus Cisplatin-Pemetrexed in Japanese Participants With Advanced Pleural Mesothelioma.Cancer science · 2025Article
- Development and validation of a prognostic nomogram for patients with malignant peritoneal mesothelioma.Frontiers in oncology · 2025Article
- A novel web-based dynamic prognostic nomogram for gastric signet ring cell carcinoma: a multicenter population-based study.Frontiers in immunology · 2024Article
- A deep learning-based model (DeepMPM) to help predict survival in patients with malignant pleural mesothelioma.Translational cancer research · 2023Article
- Epithelioid Mesothelioma Patients with Very Long Survival Display Defects in DNA Repair.Cancers · 2023Article
- Epithelioid Pleural Mesothelioma Is Characterized by Tertiary Lymphoid Structures in Long Survivors: Results from the MATCH Study.International journal of molecular sciences · 2022Article
- Survival analysis and development of a prognostic nomogram for patients with malignant mesothelioma in different anatomic sites.Frontiers in oncology · 2022Article
- Predicting medication nonadherence risk in the Chinese type 2 diabetes mellitus population - establishment of a new risk nomogram model: a retrospective study.The Journal of international medical research · 2021Article
- Development of a nomogram to predict prognosis in ovarian cancer: a SEER-based study.Translational cancer research · 2020Article
- Survival analysis via nomogram of surgical patients with malignant pleural mesothelioma in the Surveillance, Epidemiology, and End Results database.Thoracic cancer · 2019Article
- Article
- [Clinical Characteristics and Prognostic Factors of Lung Adenosquamous Carcinoma in SEER Database between 2010 and 2015].Zhongguo fei ai za zhi = Chinese journal of lung cancer · 2018Article
- Predicting Mesothelioma Using Artificial Intelligence: A Scoping Review of Common Models and Applications.Technology in cancer research & treatmentArticle
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Authors and funding
10 authors.
Funding
Abstract
backgroundMalignant pleural mesothelioma (MPM) is a rare malignancy with heterogeneous outcomes. This study was aimed to develop a nomogram to precisely and visually predict survival of MPM patients.
methodsData from Surveillance, Epidemiology, and End Results database (1973-2014) on MPM were screened and retrieved. The prognostic effects of variables, including age, sex, race, year of diagnosis, laterality, histology, tumor stage, surgery, chemotherapy, and radiotherapy were analyzed using Kaplan-Meier method and Cox proportional hazard model. A nomogram was formulated to predict overall survival of MPM patients.
resultsA total of 1092 cases who met inclusion criteria were included in this study. The overall 1-, 2-, and 3-year survival rate in the entire cohort was 45.1, 23.0, and 12.1%, with median survival of 11 months. Cox regression analysis showed that age (P < 0.001), race (P = 0.003), histology type (P < 0.001), T stage (P < 0.001), M stage (P < 0.001), TNM stage (P < 0.001), cancer-directed surgery (P < 0.001), and chemotherapy (P < 0.001) were all independent prognostic factors of MPM patients. A nomogram was established based on the results of multivariate analysis. The internal bootstrap resampling approach suggested the nomogram had sufficient discriminatory power with the C-index of 0.705 (95% CI 0.681-0.729). The calibration plots also demonstrated good consistence between the prediction and the observation.
conclusionsWe developed a nomogram to accurately predict clinical outcomes of MPM patients based on individual characteristics. Risk stratification by the survival nomogram could optimize individual therapies and follow-up.
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