Condition: Venous Thromboembolism (VTE) · Occult Cancer · Sponsor: Infanta Leonor University Hospital
This study aims to externally validate the CLOVER score, a machine learning-based predictive model designed to identify patients with venous thromboembolism (VTE) who are at increased risk of having an occult cancer. The study includes a retrospective cohort of patients with acute symptomatic VTE diagnosed between 2000 and 2022, and a prospective cohort of consecutively recruited patients from December 2025 to December 2027. The CLOVER model will be applied to all participants, and its ability to discriminate between patients with and without occult cancer will be evaluated. The study also assesses clinicians' satisfaction with the web-based tool (CLOVER-Web) developed to facilitate the use of the score in clinical practice.
This description comes directly from the study's public registry record.
Anabel Franco Moreno, MD, PhD · +34686102661 · afranco278@hotmail.com
Anabel Franco Moreno · MD, PhD · afranco278@hotmail.com
Always discuss trial participation with your own doctor first.
| Hospital Clínic | Barcelona, Barcelona, Spain | Recruiting |
| Hospital Universitario Infanta Leonor | Madrid, Madrid, Spain | Recruiting |
| Hospital Universitario La Paz | Madrid, Madrid, Spain | Recruiting |
| Hospital Universitario Príncipe de Asturias | Madrid, Madrid, Spain | Recruiting |
| Hospital Universitatio del Sureste | Madrid, Madrid, Spain | Recruiting |
| Hospital Universitario de Móstoles | Madrid, Madrid, Spain | Recruiting |
| Hospital Clínico Universitario Virgen de la Arrixaca | Murcia, Murcia, Spain | Recruiting |
| Hospital Universitario Morales Meseguer | Murcia, Murcia, Spain | Recruiting |
| Hospital San Agustín | Avilés, Principality of Asturias, Spain | Recruiting |
| Hospital Universitario Son Llatzer | Balea, Spain | Recruiting |
| Hospital Universitario 12 de Octubre | Madrid, Spain | Recruiting |
| Hospital Universitario de Fuenlabrada | Madrid, Spain | Recruiting |
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Source record: clinicaltrials.gov/study/NCT07310693