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This study was aimed to develop a nomogram to precisely and visually predict survival of MPM patients.<\/jats:p><\/jats:sec><jats:sec><jats:title>Methods<\/jats:title><jats:p>Data from Surveillance, Epidemiology, and End Results database (1973\u20132014) 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\u2013Meier method and Cox proportional hazard model. A nomogram was formulated to predict overall survival of MPM patients.<\/jats:p><\/jats:sec><jats:sec><jats:title>Results<\/jats:title><jats:p>A total of 1092 cases who met inclusion criteria were included in this study. The overall 1\u2010, 2\u2010, and 3\u2010year survival rate in the entire cohort was 45.1, 23.0, and 12.1%, with median survival of 11\u00a0months. Cox regression analysis showed that age (<jats:italic>P<\/jats:italic> &lt; 0.001), race (<jats:italic>P<\/jats:italic> = 0.003), histology type (<jats:italic>P<\/jats:italic> &lt; 0.001), T stage (<jats:italic>P<\/jats:italic> &lt; 0.001), M stage (<jats:italic>P<\/jats:italic> &lt; 0.001), TNM stage (<jats:italic>P<\/jats:italic> &lt; 0.001), cancer\u2010directed surgery (<jats:italic>P<\/jats:italic> &lt; 0.001), and chemotherapy (<jats:italic>P<\/jats:italic> &lt; 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\u2010index of 0.705 (95% CI 0.681\u20130.729). The calibration plots also demonstrated good consistence between the prediction and the observation.<\/jats:p><\/jats:sec><jats:sec><jats:title>Conclusions<\/jats:title><jats:p>We 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\u2010up.<\/jats:p><\/jats:sec>","DOI":"10.1007\/s00268-017-4424-6","type":"journal-article","created":{"date-parts":[[2017,12,27]],"date-time":"2017-12-27T23:26:09Z","timestamp":1514417169000},"page":"2134-2142","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":25,"title":["A Nomogram to Predict Prognosis in Malignant Pleural Mesothelioma"],"prefix":"10.1002","volume":"42","author":[{"given":"Shuai","family":"Wang","sequence":"first","affiliation":[{"name":"Department of Thoracic Surgery, Zhongshan Hospital Fudan University No. 180, Fenglin Road 200032 Xuhui District Shanghai China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Ke","family":"Ma","sequence":"additional","affiliation":[{"name":"Department of Thoracic Surgery, Zhongshan Hospital Fudan University No. 180, Fenglin Road 200032 Xuhui District Shanghai 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