ArticleJACC. CardioOncology2026
A Bleeding Risk Score for Cancer-Associated Venous Thromboembolism in Patients Receiving Direct Oral Anticoagulants.
Article in JACC. CardioOncology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to 2 registered trials, which are not on this map. Cited by 1 paper.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Optimal Duration of Anticoagulation Therapy for Isolated Distal Deep Vein Thrombosis in Patients With Cancer Study
Optimal Duration of Anticoagulation Therapy for Low-risk Pulmonary Embolism Patients With Cancer
Who cites it
1 citing paper in PubMed.
- The Future of Bleeding Risk Assessment in Cancer-Associated Thrombosis: The ONCO-DOAC BLEED Score.JACC. CardioOncology · 2026Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
36 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundPatients with cancer-associated venous thromboembolism (VTE) are at a high risk of major bleeding during anticoagulant therapy, emphasizing the need for bleeding risk assessment in the era of direct oral anticoagulants (DOACs). However, few bleeding risk scores have been specifically developed and validated for this population.
objectivesThe aim of this study was to develop and validate a novel bleeding risk score (ONCO-DOAC BLEED score) for patients with cancer-associated VTE receiving DOAC therapy.
methodsWe derived the bleeding risk prediction score using 1,166 patients with cancer-associated VTE treated with DOAC therapy from the COMMAND VTE (Contemporary Management and Outcomes in Patients with Venous Thromboembolism) Registry-2 and externally validated its performance in an independent cohort from the ONCO deep vein thrombosis and ONCO pulmonary embolism studies.
resultsOver a median follow-up of 163 days, 127 patients (10.9%) experienced major bleeding. In multivariable analysis, a history of major bleeding, chronic kidney disease, nonsteroidal anti-inflammatory drug use, distant metastatic cancer, terminal cancer, upper gastrointestinal cancer, pancreatic cancer, and uterine cancer were independently associated with major bleeding. Based on these risk factors, the ONCO-DOAC BLEED score was constructed. This score demonstrated moderate discrimination for major bleeding in the derivation cohort (Harrell's C-index 0.68; Uno's C-index 0.67) and validation cohort (Harrell's C-index 0.62; Uno's C-index 0.63), with higher discrimination in the derivation cohort and comparable performance in the validation cohort compared with the VTE-BLEED, RIETE, CAT-BLEED, and Perform scores.
conclusionsThe ONCO-DOAC BLEED score provides clinically relevant stratification of major bleeding risk in patients with cancer-associated VTE receiving DOAC therapy and may support individualized therapeutic decision-making in routine practice. (Optimal Duration of Anticoagulation Therapy for Isolated Distal Deep Vein Thrombosis in Patients With Cancer Study [ONCO DVT]; NCT03895502 and Optimal Duration of Anticoagulation Therapy for Low-risk Pulmonary Embolism Patients With Cancer [ONCO PE]; NCT04724460).
Indexed as
Identifiers
What Socratic holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the Socratic graph.