c5b1f7699f9a050cb64aefb21022bbf3 oyae334_1.pdf 4b3ca2886e1eb8ff2b9c8d162265489ade4b49db oyae334_1.pdf 3bb03d3f6a2cb1390e67e2db8d41f98761cb98317c9a5a79348217f94816835d oyae334_1.pdf Title: Characterization of thrombosis risk in ambulatory patients with cancer: results of the observational, prospective, multicenter CARTAGO study Subject: DOI: 10.1093/oncolo/oyae334 The Oncologist, Volume. 30, Issue. 8, 2 December 2024 Abstract Background: Venous thromboembolism (VTE) is one of the leading causes of death in patients with cancer. Currently, there is a need to develop an easily applicable risk model that can identify patients who will benefit from receiving primary thromboprophylaxis to reduce the incidence of VTE. Patients and methods: This was a non-interventional, multicenter, observational, prospective study carried out in 62 Oncology and Hematology services in Spain and Portugal between January 2018 and December 2019. The main objective of the CARTAGO study was to develop a predictive model within a competitive risk framework to assess the risk of VTE in patients with cancer undergoing chemotherapy, biological, or hormonal treatment. Results: A total of 1596 patients were analyzed. VTE events occurred in 124 (8%) during the 6-month follow-up period (42% of deep vein thrombosis [DVT], 48% of pulmonary embolism [PE], and 10% of both DVT and PE). Four variables were selected for the multivariate predictive model to determine the risk of VTE (tumor type, D-dimer, compression of a vessel by the tumor, and leukocyte count). The 4 variables were associated with an increased risk of VTE (C-statistic, 0.646 [95%CI, 0.620-0.673]). The most significant variables in the internal validation with bootstrapping were the "very high risk" tumors (hazard ratio [HR] 2.032; 95%CI, 1.287-3.211). Conclusion: The CARTAGO model predicts the VTE risk in patients with cancer receiving anticancer therapy in an outpatient setting. This model can easily aid in identifying ambulatory patients who would probably benefit from primary thromboprophylaxis. Author: Javier Trujillo-Santos Creator: Adobe InDesign 15.1 (Windows) Producer: Adobe PDF Library 15.0 CreationDate: Fri Aug 29 07:28:22 2025 CEST ModDate: Fri Aug 29 07:29:52 2025 CEST Custom Metadata: no Metadata Stream: yes Tagged: yes UserProperties: no Suspects: no Form: none JavaScript: no Pages: 11 Encrypted: no Page size: 595.276 x 782.362 pts Page rot: 0 File size: 982870 bytes Optimized: yes PDF version: 1.4 name type encoding emb sub uni object ID ------------------------------------ ----------------- ---------------- --- --- --- --------- TKTCKM+UniversLTStd-CnObl Type 1C WinAnsi yes yes yes 2271 0 XYUAOE+UniversLTStd-Cn Type 1C WinAnsi yes yes yes 2272 0 ADCIEY+UniversLTStd-BoldCn Type 1C WinAnsi yes yes yes 2273 0 UCDYYK+UniversLTStd-Bold Type 1C Custom yes yes yes 2274 0 ZCMXQA+MyriadPro-Bold Type 1C WinAnsi yes yes yes 2275 0 RQLBIQ+MyriadPro-Regular Type 1C WinAnsi yes yes yes 2288 0 KDZLOE+UniversLTStd-Light Type 1C Custom yes yes yes 2289 0 ZFGNQA+SabonLTStd-Roman Type 1C Custom yes yes yes 2290 0 OFMPSW+UniversLTStd-Obl Type 1C WinAnsi yes yes yes 212 0 ZGZYQA+UniversLTStd Type 1C WinAnsi yes yes yes 207 0 ANMEEY+SabonLTStd-Italic Type 1C WinAnsi yes yes yes 217 0 AIIZZY+SabonLTStd-Bold Type 1C WinAnsi yes yes yes 228 0 OGFANW+SabonLTStd-BoldItalic Type 1C WinAnsi yes yes yes 229 0 Jhove (Rel. 1.28.0, 2023-05-18) Date: 2026-03-05 04:19:30 CET RepresentationInformation: oyae334_1.pdf ReportingModule: PDF-hul, Rel. 1.12.4 (2023-03-16) LastModified: 2026-03-04 16:37:40 CET Size: 982870 Format: PDF Version: 1.4 Status: Well-Formed and valid SignatureMatches: PDF-hul MIMEtype: application/pdf Profile: Linearized PDF, Tagged PDF PDFMetadata: Objects: 2396 FreeObjects: 1 IncrementalUpdates: 1 DocumentCatalog: ViewerPreferences: HideToolbar: false HideMenubar: false HideWindowUI: false FitWindow: false CenterWindow: false DisplayDocTitle: true NonFullScreenPageMode: UseNone Direction: L2R ViewArea: CropBox ViewClip: CropBox PrintArea: CropBox PageClip: CropBox PageLayout: OneColumn PageMode: UseOutlines Language: en-US Outlines: Item: Title: Characterization of thrombosis risk in ambulatory patients with cancer: results of the observational, prospective, multicenter CARTAGO study Children: Item: Title: Introduction Item: Title: Patients and methods Children: Item: Title: Study design Item: Title: Patient selection Item: Title: Study objectives and procedures Item: Title: Statistical analysis Item: Title: Results Children: Item: Title: Patient characteristics at baseline Item: Title: Description of the incidence of thrombosis, bleeding, and mortality in the study population Item: Title: Description of the univariate analysis Item: Title: Proposed VTE predictive model and internal validation with bootstrapping Item: Title: Discussion Item: Title: Conclusion Item: Title: Acknowledgments Item: Title: References Info: Title: Characterization of thrombosis risk in ambulatory patients with cancer: results of the observational, prospective, multicenter CARTAGO study Author: Javier Trujillo-Santos Subject: DOI: 10.1093/oncolo/oyae334 The Oncologist, Volume. 30, Issue. 8, 2 December 2024 Abstract Background: Venous thromboembolism (VTE) is one of the leading causes of death in patients with cancer. Currently, there is a need to develop an easily applicable risk model that can identify patients who will benefit from receiving primary thromboprophylaxis to reduce the incidence of VTE. Patients and methods: This was a non-interventional, multicenter, observational, prospective study carried out in 62 Oncology and Hematology services in Spain and Portugal between January 2018 and December 2019. The main objective of the CARTAGO study was to develop a predictive model within a competitive risk framework to assess the risk of VTE in patients with cancer undergoing chemotherapy, biological, or hormonal treatment. Results: A total of 1596 patients were analyzed. VTE events occurred in 124 (8%) during the 6-month follow-up period (42% of deep vein thrombosis [DVT], 48% of pulmonary embolism [PE], and 10% of both DVT and PE). Four variables were selected for the multivariate predictive model to determine the risk of VTE (tumor type, D-dimer, compression of a vessel by the tumor, and leukocyte count). The 4 variables were associated with an increased risk of VTE (C-statistic, 0.646 [95%CI, 0.620-0.673]). The most significant variables in the internal validation with bootstrapping were the "very high risk" tumors (hazard ratio [HR] 2.032; 95%CI, 1.287-3.211). Conclusion: The CARTAGO model predicts the VTE risk in patients with cancer receiving anticancer therapy in an outpatient setting. This model can easily aid in identifying ambulatory patients who would probably benefit from primary thromboprophylaxis. 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Currently, there is a need to develop an easily applicable risk model that can identify patients who will benefit from receiving primary thromboprophylaxis to reduce the incidence of VTE. Patients and methods: This was a non-interventional, multicenter, observational, prospective study carried out in 62 Oncology and Hematology services in Spain and Portugal between January 2018 and December 2019. The main objective of the CARTAGO study was to develop a predictive model within a competitive risk framework to assess the risk of VTE in patients with cancer undergoing chemotherapy, biological, or hormonal treatment. Results: A total of 1596 patients were analyzed. VTE events occurred in 124 (8%) during the 6-month follow-up period (42% of deep vein thrombosis [DVT], 48% of pulmonary embolism [PE], and 10% of both DVT and PE). Four variables were selected for the multivariate predictive model to determine the risk of VTE (tumor type, D-dimer, compression of a vessel by the tumor, and leukocyte count). The 4 variables were associated with an increased risk of VTE (C-statistic, 0.646 [95%CI, 0.620-0.673]). The most significant variables in the internal validation with bootstrapping were the "very high risk" tumors (hazard ratio [HR] 2.032; 95%CI, 1.287-3.211). Conclusion: The CARTAGO model predicts the VTE risk in patients with cancer receiving anticancer therapy in an outpatient setting. This model can easily aid in identifying ambulatory patients who would probably benefit from primary thromboprophylaxis. © The Author(s) 2024. Published by Oxford University Press. Javier Trujillo-Santos Ignacio García-Escobar Mercedes Salgado António Araújo Eva Martínez-de-Castro Raquel Molina Victoria E Castellón-Rubio Pere Domènech Enrique Gallardo Esteve Colomé Ferran Torres José-Carlos Benítez-Montañez Rut Porta Míriam Lobo-de-Mena Mariana Malheiro Carme Font Elena Brozos-Vázquez Fernando Garicano Víctor Sapena Ana-Lucia Costa Ana-Cristina Albuquerque Pablo Cerezuela Sara Agraso Georgia Anguera Maite Antonio David Arias Mercedes Biosca Ana Blasco Anna Bustins Diego Cacho Núria Calvo Begoña Campos-Balea Marta Carmona Elena Cillan Carmen Díaz-Pedroche Paula Espinosa Olarte Francis Exposito Isaura Fernández Lourdes Fernández-Franco Tomeu Fullana Silvia García-Adrián Javier García-Sánchez Sandra Giménez Irene González-Cebrián Manuel González Moya Clara Lucía Gozálvez David Gutiérrez-Abad Yolanda Lage Rosa López María Luisa Limón Raquel Luque Agustín Hernández Evelin Horvath Rosa López Ismael Macias Montse Mangas Pascual Marco Edelmira Martí Purificación Martínez-del-Prado Maria Masvidal Marina Meri Marta Merino Yolanda de Miguel Santiago Moragon Daniela Morello Berta Obispo Montse Pàmpols Pedro Pérez-Segura Beatriz Rivas Alberto Rodrigo Silverio Ros Araceli Sabino-Álvarez Diego Salgado Raúl Sánchez Lucía Teijeira María Valero-Arbizu Francisca Vazquez Jose Carlos Villa Paula Alves Júlia Amorim Anabela Barros Carolina Carvalho Nuno Couto Ana Rita Garcia Vitória Gemas Beatriz Gosalbez Hélder Mansinho Jorge Martinez Mafalda Peres António Moreira Pinto Catarina Pulido Ana Raimundo Maria João Ribeiro D-dimer leukocytes thromboprophylaxis venous thromboembolism cancer. 2025-08-29T10:58:22+05:30 Adobe InDesign 15.1 (Windows) 2025-08-29T10:59:52+05:30 2025-08-29T10:59:52+05:30 uuid:535440a2-3f8b-4b5e-ae77-bd101e19b050 xmp.did:62536b05-d23c-e441-8b83-3cf623a2daf6 xmp.id:95fb7a63-7541-4045-98ce-628e022bf1c4 proof:pdf 1 converted from application/x-indesign to application/pdf Adobe InDesign 15.1 (Windows) 2025-08-29T10:58:22+05:30 converted uuid:75a11c52-29d5-4c6b-a364-e5f54fa3f48e converted to PDF/A-3a Preflight 2025-08-29T10:59:46+05:30 xmp.iid:a162c1df-3c93-bb41-8da6-22fe2856d520 xmp.did:8f10b307-6bae-1e4a-bd87-6a613cd9216a default True Adobe PDF Library 15.0 False 3 A 1 http://ns.adobe.com/xap/1.0/mm/ xmpMM XMP Media Management Schema internal UUID based identifier for specific incarnation of a document InstanceID URI internal The common identifier for all versions and renditions of a document. 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