Assessing the risk of venous thromboembolism in patients with haematological cancers using three prediction models.

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Title: Assessing the risk of venous thromboembolism in patients with haematological cancers using three prediction models.
Authors: El-Sayed HA; Clinical Pathology Department, Faculty of Medicine, Mansoura University, Mansoura, Egypt., Othman M; Clinical Pathology Department, Faculty of Medicine, Mansoura University, Mansoura, Egypt. Othman@queensu.ca.; Department of Biomedical and Molecular Sciences, School of Medicine, Queen's University, Kingston, ON, Canada. Othman@queensu.ca.; School of Baccalaureate Nursing, St Lawrence College, Kingston, ON, Canada. Othman@queensu.ca., Azzam H; Clinical Pathology Department, Faculty of Medicine, Mansoura University, Mansoura, Egypt., Bucciol R; Department of Biomedical and Molecular Sciences, School of Medicine, Queen's University, Kingston, ON, Canada., Ebrahim MA; Oncology Department, Faculty of Medicine, Mansoura University, Mansoura, Egypt., El-Agdar MAMA; Oncology Department, Faculty of Medicine, Mansoura University, Mansoura, Egypt., Tera Y; Clinical Pathology Department, Faculty of Medicine, Mansoura University, Mansoura, Egypt.; Department of Biomedical and Molecular Sciences, School of Medicine, Queen's University, Kingston, ON, Canada., Sakr DH; Oncology Department, Faculty of Medicine, Mansoura University, Mansoura, Egypt., Ghoneim HR; Clinical Pathology Department, Faculty of Medicine, Mansoura University, Mansoura, Egypt., Selim TE; Clinical Pathology Department, Faculty of Medicine, Mansoura University, Mansoura, Egypt.
Source: Journal of cancer research and clinical oncology [J Cancer Res Clin Oncol] 2023 Dec; Vol. 149 (20), pp. 17771-17780. Date of Electronic Publication: 2023 Nov 07.
Publication Type: Journal Article
Journal Info: Publisher: Springer-Verlag Country of Publication: Germany NLM ID: 7902060 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1432-1335 (Electronic) Linking ISSN: 01715216 NLM ISO Abbreviation: J Cancer Res Clin Oncol Subsets: MEDLINE
Database: MEDLINE Ultimate
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ISSN:1432-1335
DOI:10.1007/s00432-023-05475-7