{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,7,7]],"date-time":"2026-07-07T03:02:34Z","timestamp":1783393354557,"version":"3.54.6"},"reference-count":33,"publisher":"Wiley","issue":"21","license":[{"start":{"date-parts":[[2021,10,1]],"date-time":"2021-10-01T00:00:00Z","timestamp":1633046400000},"content-version":"vor","delay-in-days":0,"URL":"http:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"content-domain":{"domain":["onlinelibrary.wiley.com"],"crossmark-restriction":true},"short-container-title":["Cancer Medicine"],"published-print":{"date-parts":[[2021,11]]},"abstract":"<jats:title>Abstract<\/jats:title><jats:sec><jats:title>Background<\/jats:title><jats:p>The incorporation of genetic variables into risk scores for predicting venous thromboembolic events (VTE) could improve their capacity to identify those patients for whom thromboprophylaxis would be most beneficial. Proof\u2010of\u2010concept of this is provided by the TiC\u2010ONCO score for predicting the risk of VTE in patients with solid tumours. Our aim was to develop a similarly improved tool\u2014the TiC\u2010LYMPHO score\u2014for predicting VTE in patients with lymphoma.<\/jats:p><\/jats:sec><jats:sec><jats:title>Methods<\/jats:title><jats:p>In a retrospective observational study of 208 patients with lymphoma, 31 (14.9%) were found to have experienced an episode of VTE either at the time of diagnosis or over the next 6\u00a0months. Clinical variables associated with VTE, determined via logistic regression analysis, plus the same genetic variables included in the TiC\u2010ONCO score, were used to build the TiC\u2010LYMPHO score algorithm. The sensitivity, specificity, predictive values and AUC of the TiC\u2010LYMPHO, the Khorana and ThroLy scores were compared in the same population.<\/jats:p><\/jats:sec><jats:sec><jats:title>Results<\/jats:title><jats:p>The TiC\u2010LYMPHO score showed a significantly higher AUC, sensitivity and NPV (0.783, 95.35% and 97.98% respectively) than the other scores. The ThroLy score showed a significantly higher specificity (96.43% vs. 54.49%; <jats:italic>p<\/jats:italic>\u00a0&lt;\u00a00.0001) and PPV (37.50% vs. 26.36%; <jats:italic>p<\/jats:italic>\u00a0=\u00a00.0147) than the TiC\u2010LYMPHO score, whereas its AUC, sensitivity and NPV were significantly lower (0.579, 19.35% and 86.48%, respectively).<\/jats:p><\/jats:sec><jats:sec><jats:title>Conclusion<\/jats:title><jats:p>These results show that by incorporating genetic and clinical data into VTE risk assessment, the TiC\u2010LYMPHO score can categorize patients with lymphoma better in terms of their risk of VTE and allow individualized thromboprophylaxis to be prescribed.<\/jats:p><\/jats:sec>","DOI":"10.1002\/cam4.4280","type":"journal-article","created":{"date-parts":[[2021,10,2]],"date-time":"2021-10-02T14:05:42Z","timestamp":1633183542000},"page":"7585-7592","update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":17,"title":["Incorporating genetic and clinical data into the prediction of thromboembolism risk in patients with lymphoma"],"prefix":"10.1002","volume":"10","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-9431-4646","authenticated-orcid":false,"given":"Mariana","family":"Bastos\u2010Oreiro","sequence":"first","affiliation":[{"name":"Hematology Department Hospital General Universitario Gregorio Mara\u00f1on Madrid Spain"},{"name":"Gregorio Mara\u00f1\u00f3n Health Research Institute Madrid Spain"},{"name":"Genomics Unit, Hospital General Universitario. 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