Construction, validation and, visualization of a web-based nomogram for predicting the overall survival and cancer-specific survival of leiomyosarcoma patients with lung metastasis

• DOI: 10.21037/jtd-21-598
• Publication Date: 2021-05-27T08:26:19Z
• Authors: Zhehong Li; Junqiang Wei; Xintian Gan; Mingze Song; Yafang Zhang; Haiying Cao; Yu Jin; Jilong Yang
• Keywords: Nomogram

Background: This study sought to assess the prognostic factors for leiomyosarcoma (LMS) patients with lung metastasis and construct web-based nomograms predict overall survival (OS) cancer-specific (CSS).Method: Patients diagnosed LMS combined between 2010 2016 were identified in Surveillance, Epidemiology, End Results (SEER) database. The randomly divided into a training set testing set. X-tile analysis provides best age tumor size cut-off point, changes continuous variables categorical variables. independent determined by Cox regression analysis, 2 established. Receiver operating characteristic curves calibration used evaluate nomograms. Based on nomograms, established.Results: Two hundred twenty-eight cases included OS nomogram construction, (n=160) validation (n=68). Age, T stage, bone metastasis, surgery, chemotherapy, marital status, size, site found be correlated OS. One eighty-three enrolled CSS (n=129) (n=54). CSS. established In set, areas under curve of predicting 1-, 2-, 3-year 0.783, 0.830, 0.832, respectively, those 0.889, 0.777, 0.884, respectively. (https://wenn23.shinyapps.io/lmslmosapp/), (https://wenn23.shinyapps.io/lmslmcssapp/).Conclusion: developed is useful tool accurately analyzing prognosis could help clinical doctors make personalized decisions.