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Univariate and LASSO analyses were used to select variables for the nomogram.<\/jats:p><\/jats:sec><jats:sec><jats:title>Result<\/jats:title><jats:p>mMRC, pectoralgia, history of VTE, active tumor, unilateral lower limb pain or edema, hormonotherapy, reduced mobility, and heart failure\/respiratory failure were selected for the establishment of the nomogram for silicosis with pulmonary embolism.<\/jats:p><\/jats:sec><jats:sec><jats:title>Conclusion<\/jats:title><jats:p>A novel nomogram was developed to predict pulmonary embolism in silicosis patients. The internal validation indicated that clinicians could utilize this predictive model to help decision\u2010making and patient management.<\/jats:p><\/jats:sec>","DOI":"10.1111\/crj.70059","type":"journal-article","created":{"date-parts":[[2025,3,12]],"date-time":"2025-03-12T05:09:00Z","timestamp":1741756140000},"update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["A Nomogram for Predicting Pulmonary Embolism in Silicosis Patients"],"prefix":"10.1111","volume":"19","author":[{"given":"Jiaqing","family":"Zhou","sequence":"first","affiliation":[{"name":"Department of Respiratory Medicine, West China School of Public Health and West China Fourth Hospital Sichuan University  Chengdu China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Wen","family":"Du","sequence":"additional","affiliation":[{"name":"Department of Respiratory Medicine, West China School of Public Health and West China Fourth Hospital 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